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I, I mean, I kind of always knew
the world was polluted, right? 

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But I was really, really asleep 
about the extent of it until I 

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moved my child into, brought our
home from the hospital to a 

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neighborhood where a lot of 
people were getting strange 

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brain and lung cancers. 
And this information came to me 

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informally. 
It's not like there is a 

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statistical, it's not like it's 
published in the New York Times 

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or something. 
And it's not really widely 

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known. 
None of them really are. 

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Welcome to the Environmental 
Transformation Podcast, where we

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bring you interviews with 
industry leaders, climate 

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champions, sustainability 
practitioners, EHS and hazmat 

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professionals making an impact 
in their businesses today. 

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Each leader solving complex 
challenges and delivering 

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solutions within their areas of 
expertise. 

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I'm your host, Sean Grady, and 
thanks for joining us today. 

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Before we jump in, make sure to 
follow us on your devices and 

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visit my website at 
www.shawnkgrady.com and sign up 

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for our newsletter and e-mail 
announcements. 

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Now let's get started. 
Welcome to the Environmental 

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Transformation podcast. 
I'm your host, Sean Grady, and 

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today's guests are Deb Horton 
and Pete Seda. 

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Deb is the founder and CEO of 
Taxi Map and they're an 

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environmental intelligence 
platform that helps individuals 

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and professionals know which 
toxicants are present in the 

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area, water and soil near their 
addresses. 

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Many addresses across the across
the United States. 

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So think of it as like the 
Carfax for environmental 

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surroundings in any location. 
So we're really happy to have 

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Deb on. 
She has a PhD in quantitative 

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sociology from Columbia 
University and has worked as a 

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researcher at Harvard Medical 
Schools, Department of 

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Healthcare policy. 
She has also been an 

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organizational and leadership 
consultant and lived and worked 

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all over the world. 
Man, she's been in Lima, 

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Istanbul, Milan, London, Dublin.
Wow, you've been around. 

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That's awesome. 
Those are some beautiful. 

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Yeah, that's some beautiful 
places. 

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Oh, man. 
Her personal experience moving 

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her baby into two different 
communities with cancer clusters

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awakened her to the hidden 
presence of environmental 

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toxicants in an unexpected 
locations. 

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And that critically and of 
critically knowing where 

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toxicants are to make informed 
decisions for her own and 

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everyone else is in the family 
and for a business and 

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organizational across the the 
board. 

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That's what's driven her to 
develop Toximap Peter Seda. 

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He's the chief environmental 
scientist at Taxi Map, and he's 

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an instructor at Duke 
University's School of of the 

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Environment. 
So he was formerly A contributor

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to the EP as Enviro Atlas. 
And he's a seasoned 

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environmental consultant with a 
deep experience in managing high

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visibility projects leveraging 
environmental analysis, 

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geospatial analysis and data 
management for government 

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agencies, educational 
institutions and private 

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consulting firms. 
He is a certified GIS 

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professional and he also has a 
Geographic Information System 

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Certification Institute 
accreditation as well. 

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So welcome to the show guys. 
Great to be here. 

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Yeah. 
Thank you so much. 

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We're really grateful. 
Deb, you and I got connected 

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through a personal connection 
that you're a friends with 

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another entrepreneur tech 
startup that we will probably 

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have on the show here soon as 
well for an application that's 

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really geared towards 
environmental education for kids

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and gaming. 
So I'm looking forward to that 

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one. 
But it's amazing. 

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Yeah, so. 
But thanks for coming on the 

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show. 
And you know, I saw the 

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application and looked at it and
I was like, wow, this has a lot 

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of applicability for the 
environmental field in the 

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environmental consulting space 
not let alone, I guess, you 

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know, from maybe the medical 
field as well. 

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But maybe talk a little bit 
about your origin, you know, the

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mission that you have. 
What was the turning point that 

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made you want to start this? 
I think a little bit has to do 

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with this moving around with 
your child in the communities. 

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But why don't you share with us 
a little more on that? 

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Yeah, sure. 
I, I mean, I kind of always knew

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the world was polluted, right? 
But I was really, really asleep 

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about the extent of it until I 
moved my child into, brought her

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home from the hospital to a 
neighborhood where a lot of 

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people were getting strange 
brain and lung cancers. 

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And this information came to me 
informally. 

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It's not like there is a 
statistical, it's not like it's 

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published the New York Times or 
something. 

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And it's not really widely 
known. 

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None of them really are. 
And so immediately I was like, 

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oh man, I, I got to get out of 
here. 

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So I moved closer to the 
actually to the country 

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countryside. 
I had been in the city. 

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And within three months of that 
second move, I discovered 

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discovered that I had moved into
the middle of a pediatric cancer

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cluster. 
And this is not like, you know, 

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big waste industrial waste site.
This is a beautiful part of the 

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seacoast region of the seacoast 
between Maine and New Hampshire 

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with lobster boating and lots of
sailboats and access to the 

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forests and the mountains nearby
and beautiful architecture, 

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expensive real estate, great 
schools. 

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Like it's not with your typical 
kind of waste site that you 

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would think. 
And then I read the New 

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Hampshire State report about 
this cancer cluster and 

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discovered all of the hypotheses
about what the causes could be 

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were environmentally related. 
And through that, I came across 

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all these environmental 
environmental toxin maps that 

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I've never seen before. 
And it just profoundly shifted 

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my understanding of the 
environment in the world. 

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And I immediately moved from 
there thinking, Oh my God, I got

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to get out of here. 
But I had no way of knowing that

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the place I moved next to is 
going to be any different than 

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the first two I accidentally 
moved to because I didn't have 

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the tool that I've created in 
order to solve that problem, 

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right? 
So I began digging in EPA 

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websites and state cancer maps 
and slowly, slowly. 

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I'm not an environmental 
scientist like Peter is. 

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And I mean it just took me years
to figure out what's going on 

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and I I would spend hours and 
hours just looking up 1 address 

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and sometimes days and weeks to 
get the full picture. 

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And because we have the right to
the access to this information, 

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I decided to create the tool I 
needed and what I think every 

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human being needs to know to 
make smart, informed decisions 

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about their life. 
And so that is the personal 

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story. 
But of course, the data set we, 

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Peter has created, he is an 
absolute environmental toxin 

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data ninja. 
And he's been, we've, he's 

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integrated over 60 environmental
toxin geospatial data sets into 

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a harmonized layer on our map 
with we're tracking 1500 

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different environmental toxins. 
And it has, we have this data 

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asset, right? 
It's this and then an asset 

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around the interactive map in 
the tool so that people can 

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easily visualize, understand 
digest the information as 

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opposed to what I found when I 
started digging around, you 

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know, state data databases and 
and EPA because that's like in 

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tables and with, you know, lat 
logs. 

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And I mean, it was impossible 
for me to digest. 

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This allows anybody at any 
level, whether it be complete, 

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you know, newbie like I was to a
very sophisticated environmental

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scientist like Peter or 
yourself, to digest instantly 

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and utilize in whatever way they
need to. 

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Right. 
Yeah. 

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No, that's great. 
I mean, and I think there's 

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always been a desire for some, 
some tool like this available 

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to, to to individuals. 
I mean, because, you know, 

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you've got the ECHO database for
the EPA and it largely has a lot

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of good stuff in there. 
But there are some gaps 

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obviously from state to state 
and industry to, to, you know, 

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even if you look at the 
military. 

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So there's still, like a lot of,
you know, gaps. 

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And so, you know, Peter, how did
you get plugged into this 

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opportunity to help Dev? 
Yeah, great question. 

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And you know to to speak to your
thing about the ECHO data set, 

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right, Like that's where we kind
of start. 

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We as environmental 
professionals, that's where we 

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start. 
But we are like, you know, it's 

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a rabbit hole. 
It's multiple rabbit holes. 

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You have trouble, you like, oh 
great, now I see the sites, but 

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not what's at each site and 
what's the deal and when and all

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that stuff. 
So definitely a tough user 

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interface to for the, the 
layperson I was. 

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So I've been out for after 
getting my masters and doing all

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that GIS learning all that 
stuff. 

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I've been out consulting for 
almost 20 years and in the 1st 

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batch company I worked for 
supported EPA quite a bit, both 

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at the national level, state 
levels, some state governments 

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as well. 
One of them was what used to be 

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called the Office of Research 
and Development, which had a 

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group that dealt with landscape 
level data sort of management 

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analysis and visualization. 
And it grew into the EPA's 

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Enviro Atlas, which while the 
organization AKAORD no longer 

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exists on paper in our 
government, the Enviro Atlas 

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still doesn't. 
Many of the folks that are that 

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that supported and are working 
are still there. 

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So I worked on Enviro Atlas and 
help them with hundreds of 

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foundational data sets for that 
and really helped get them sort 

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of developed and then help them 
prop it up tested. 

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That sort of stuff is a great, 
great project. 

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Loved it. 
Great people too, just amazing 

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stuff. 
Really challenged me as a 

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geospatial professional. 
And so I had that and being so 

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excited about it. 
I had it on on my sort of CV 

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resume there and on one of the 
business professional social 

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media websites. 
I could certainly say it, Deb, 

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shoot me a text. 
And I was like, hey, she's like,

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hey, this is an environment, 
this thing, What do you know 

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about it? 
I'm like, well, I know a lot 

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actually. 
So we started. 

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I haunted him down. 
I haunted him down and found. 

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His. 
Research. 

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Skills paid off. 
Yeah, no. 

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He's really weird. 
It was so I'm like, OK, this is 

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great. 
I'm not completed. 

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He has an elite skill set that's
really hard to find, and he has 

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been navigating the data with 
incredible accuracy and and 

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rigor and finesse and really 
showing incredible thought 

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leadership. 
That's great. 

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I mean you guys sounds like a 
good match there. 

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You know the solution for a 
first time user. 

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You walk us through like, you 
know, how does Toximap translate

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raw environmental data into a 
simple user interface that 

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includes interactive map, you 
know, maybe mapping your 

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neighborhood. 
So you've got this toxic 

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neighborhood intensity score 
type thing. 

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Help us understand how this 
works if you could. 

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And maybe what we could do is 
screen share and you can walk us

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through it that way. 
I don't know if that's the best 

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way to to discuss it, but it 
might be I'm I've got a hunch. 

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Yeah, no, that's that's great. 
So I will absolutely do that. 

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So let's see here. 
Not sure that button is. 

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I'll give you the high level 
while she's doing it. 

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So you know, for me, I'm and, 
and you know, you've probably 

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done this as well as you, you've
taken a lot of data for, for 

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clients and had to summarize it 
or rank it, rank it or put it in

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some sort of order of such. 
So essentially that sort of 

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skill set. 
And with the geospatial analysis

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part, we take the sort of 
universe of potentials across 

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the United States and say, OK, 
let's divvy them up 

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statistically within each media 
and within each database and get

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sort of an independent score for
each of those sets of data. 

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And then roll it up into a 
overall toxin intensity score 

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for a given address with all 
those sort of calculations on 

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the fly, right? 
Like you type the address in 

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and, and now we're seeing it. 
Basically it zooms into a, a 

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location or an address and, and 
at that point, we'll then 

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produce both the Max, I'm sorry,
the map. 

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And then those scores sort of 
you can see there by air, water 

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and land. 
And then within the different 

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data sources, under air, water 
and land and then overall toxin 

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intensity score. 
Yeah. 

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So he, he had to download and 
harmonize and we have spatially 

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aligned, you know, over 60 data 
sets into 111 CSV file. 

231
00:13:00,960 --> 00:13:03,360
And then we layer it on to to 
map box. 

232
00:13:03,720 --> 00:13:07,440
And then he has a, you know, a 
special patent pending algorithm

233
00:13:07,440 --> 00:13:12,320
that takes into account toxin 
intensity of each area, I mean 

234
00:13:12,320 --> 00:13:14,560
of each medium. 
And so this is where I was 

235
00:13:14,560 --> 00:13:18,240
living when I learned about the 
cancer cluster and notice that 

236
00:13:18,240 --> 00:13:23,000
it's, it's, it's not even a, an 
extreme toxin toxicity score. 

237
00:13:23,000 --> 00:13:27,440
It's moderate. 
So this was my address and each,

238
00:13:27,520 --> 00:13:31,720
this is an interactive map. 
So each symbol on the map has a 

239
00:13:31,720 --> 00:13:34,080
meaning. 
And this is basically my address

240
00:13:34,080 --> 00:13:37,400
at the time. 
And this is a Superfund site. 

241
00:13:37,440 --> 00:13:40,840
And if we click on any of these 
sites, actually it will give you

242
00:13:40,840 --> 00:13:46,400
a list of what the what the 
toxins are present in that site 

243
00:13:46,920 --> 00:13:48,800
to the degree that we have that 
information. 

244
00:13:48,800 --> 00:13:51,040
So arsenic, benzene and five 
more. 

245
00:13:51,040 --> 00:13:54,520
And you won't click on area 
summary summary to see what five

246
00:13:54,520 --> 00:13:56,720
other ones. 
So arsenic, benzene, cadmium, 

247
00:13:56,720 --> 00:14:00,560
lead, mercury, PHSPCBS, just in 
that one site. 

248
00:14:02,200 --> 00:14:06,880
If we come back to the map, we 
can click on, let's just do this

249
00:14:06,880 --> 00:14:08,440
one. 
This is a brown. 

250
00:14:08,920 --> 00:14:11,760
Go ahead. 
So that's a great example of a 

251
00:14:12,160 --> 00:14:16,480
specific location where there is
a contaminated site. 

252
00:14:17,080 --> 00:14:22,000
Is there any information that 
you also provide related to like

253
00:14:22,080 --> 00:14:27,400
is there sounds like the 
exposure for the site is maybe 

254
00:14:27,400 --> 00:14:30,560
it's on site, but is there off 
site exposure challenges or 

255
00:14:30,560 --> 00:14:35,560
concerns are those identified in
the the discovery of the 

256
00:14:35,560 --> 00:14:37,200
information? 
Or is it just say, hey, here's 

257
00:14:37,200 --> 00:14:39,800
the parameters of toxin that we 
know of that are here? 

258
00:14:40,080 --> 00:14:42,040
Is it, is it, you know, limiting
to some of it? 

259
00:14:42,120 --> 00:14:43,920
I mean, maybe you can explain 
that a little bit. 

260
00:14:44,680 --> 00:14:46,720
Yeah. 
Do you want to do it or do you 

261
00:14:46,720 --> 00:14:47,320
want me to? 
Sure. 

262
00:14:47,920 --> 00:14:49,280
Sure, we've talked about this 
somewhat. 

263
00:14:49,280 --> 00:14:51,000
Yeah, a lot. 
And not just the two of us, 

264
00:14:51,000 --> 00:14:54,600
we've got other folks that help 
support us, including a board 

265
00:14:54,600 --> 00:14:58,520
certified toxicologist too. 
So the reality is there's a 

266
00:14:58,520 --> 00:15:02,000
difference between a hazard and 
a risk. 

267
00:15:02,760 --> 00:15:04,600
And it's subtle. 
We shouldn't get into it because

268
00:15:04,600 --> 00:15:07,360
I'll mess it up. 
But all of what we're trying to 

269
00:15:07,360 --> 00:15:10,240
do here is say, hey, these 
things are here. 

270
00:15:10,360 --> 00:15:14,680
And of course, the time that 
these things were placed or 

271
00:15:14,840 --> 00:15:19,480
became into existence, the 
intensity, the longevity, your 

272
00:15:19,480 --> 00:15:22,760
own role in being around that, 
you know, all those things are 

273
00:15:22,760 --> 00:15:26,120
just, they're too much variables
for us to say this is your 

274
00:15:26,880 --> 00:15:28,520
exposure. 
What we do is a risk of 

275
00:15:28,520 --> 00:15:31,600
exposure, right? 
It's just to say this is all 

276
00:15:31,600 --> 00:15:34,480
here, right? 
And this is so much more than 

277
00:15:34,480 --> 00:15:37,000
you can get from any other 
place. 

278
00:15:37,000 --> 00:15:39,480
And you know from Echo that you 
can click on the points and it 

279
00:15:39,480 --> 00:15:42,520
tells you the name and address 
and it gives you their unique 

280
00:15:42,520 --> 00:15:46,880
UEPAID for their facility, their
facility registration number, 

281
00:15:47,080 --> 00:15:49,640
but that's it. 
They don't easily. 

282
00:15:49,640 --> 00:15:52,200
You have to click three more 
websites to even get a list of 

283
00:15:52,200 --> 00:15:54,600
what they do. 
And maybe you get a list of 

284
00:15:54,600 --> 00:15:56,520
chemicals. 
Maybe you don't right. 

285
00:15:57,000 --> 00:15:59,720
You have to do that for each 
individual site and you can't 

286
00:15:59,720 --> 00:16:02,360
even do it for some of these 
data sets like the Tri sites 

287
00:16:02,360 --> 00:16:04,760
that we've got. 
I had to do a some serious 

288
00:16:04,760 --> 00:16:07,920
transformation and sort of a 
special request from E pay to do

289
00:16:07,920 --> 00:16:10,760
a data dump for me to then use 
to then harmonize with our data 

290
00:16:10,760 --> 00:16:12,320
sets. 
So there's a definitely a couple

291
00:16:12,320 --> 00:16:15,640
steps to go in there that make 
this sort of a boom within 3 

292
00:16:15,640 --> 00:16:17,480
miles. 
Just how many of sites each of 

293
00:16:17,480 --> 00:16:19,680
the things you got? 
This is a list of toxins in the 

294
00:16:19,680 --> 00:16:22,280
different media. 
Boom, easy button, right? 

295
00:16:22,600 --> 00:16:26,560
Yeah, yeah, exposure. 
Is really dependent on how each 

296
00:16:26,560 --> 00:16:29,320
individual interacts with those 
points. 

297
00:16:29,400 --> 00:16:33,720
And it's it's actually a point 
of empowerment because people 

298
00:16:33,720 --> 00:16:36,560
can radically reduce their 
exposure risk and their actual 

299
00:16:36,560 --> 00:16:40,680
exposure if they simply abstain 
from interacting with the sites 

300
00:16:40,680 --> 00:16:43,680
that are toxic. 
And they can't do that unless 

301
00:16:43,680 --> 00:16:47,080
they know where they are at the 
same time there is spread, 

302
00:16:47,160 --> 00:16:48,840
right? 
They're spread through storm 

303
00:16:48,840 --> 00:16:52,320
waters, they're spread through 
wind over time, they're spread 

304
00:16:52,320 --> 00:16:55,000
through groundwaters to the 
degree to which something's not 

305
00:16:55,000 --> 00:16:58,040
contained. 
And so it's kind of like a 

306
00:16:58,040 --> 00:17:01,520
little bit of a soup, right. 
We kind of live in A to some, to

307
00:17:01,800 --> 00:17:05,680
greater or lesser degrees, and 
if we know what we're being 

308
00:17:05,680 --> 00:17:10,839
exposed to or what's present, 
yeah, for any other purpose, not

309
00:17:10,839 --> 00:17:15,000
only health, but also all kinds 
of decisions, financial 

310
00:17:15,000 --> 00:17:18,119
decisions, real estate 
decisions, investment decisions,

311
00:17:18,680 --> 00:17:22,520
insurance decisions. 
You know what the risk set is to

312
00:17:22,520 --> 00:17:26,720
begin with or you have the data 
are incomplete like the EPA is 

313
00:17:26,720 --> 00:17:30,520
not tested every single square 
inch of soil and water in the 

314
00:17:30,760 --> 00:17:33,320
US. 
So our map is kind of an under 

315
00:17:33,320 --> 00:17:35,640
representation. 
It's an underestimate, we'll 

316
00:17:35,640 --> 00:17:37,720
say. 
It's a good indication of what 

317
00:17:37,720 --> 00:17:40,960
your potential concerns are in 
the neighborhood. 

318
00:17:40,960 --> 00:17:44,320
So you can actually have an idea
of if you think you have 

319
00:17:44,320 --> 00:17:46,880
symptoms that might be related 
to something like that. 

320
00:17:46,880 --> 00:17:49,800
Well, maybe there is a 'cause 
that's the 'cause that could be 

321
00:17:49,800 --> 00:17:50,840
the 'cause. 
We never know. 

322
00:17:50,840 --> 00:17:54,840
But I mean, at least you have a 
good indication of what areas 

323
00:17:55,000 --> 00:17:58,680
that you maybe live in that 
have, you know, have had some 

324
00:17:58,680 --> 00:18:01,480
exposure to. 
Yeah, I mean, it's it gives you 

325
00:18:01,480 --> 00:18:03,360
a huge leg up, right. 
Yeah. 

326
00:18:04,640 --> 00:18:08,280
And the reality is, it all boils
down to knowledge is power, 

327
00:18:08,280 --> 00:18:09,840
right? 
Yeah, absolutely. 

328
00:18:09,880 --> 00:18:11,080
I know. 
I get you. 

329
00:18:11,720 --> 00:18:14,320
You know when you when you guys 
track your guys are tracking 

330
00:18:14,320 --> 00:18:18,520
over 150 different toxins. 
What specific public and private

331
00:18:18,520 --> 00:18:22,520
data sources aside from maybe 
like the EPA, you know, echo 

332
00:18:22,520 --> 00:18:26,240
site are you guys using to 
aggregate to bring all this 

333
00:18:26,240 --> 00:18:28,440
together? 
I mean, are you talk a little 

334
00:18:28,440 --> 00:18:30,520
bit about some of the types of 
sources you guys are pulling? 

335
00:18:30,520 --> 00:18:31,280
Sure. 
Yeah. 

336
00:18:31,280 --> 00:18:35,240
So in the current version that 
was just shown by by Deb there 

337
00:18:35,760 --> 00:18:42,800
we we have about almost 1000 
toxins from essentially five 

338
00:18:42,800 --> 00:18:44,960
different major data sources 
there. 

339
00:18:45,680 --> 00:18:51,280
We are in the process of pulling
in not just the five major data 

340
00:18:51,280 --> 00:18:54,560
sets but and Deb has said this 
already 60 data sets. 

341
00:18:54,560 --> 00:18:57,360
So what we are socially doing is
we start with the low hanging 

342
00:18:57,360 --> 00:18:59,960
fruit that's EP as databases 
etcetera. 

343
00:19:00,240 --> 00:19:02,880
And I see low hanging fruit 
still requires a lot of work and

344
00:19:02,880 --> 00:19:06,040
massaging and then starting to 
look at state data sets because 

345
00:19:06,040 --> 00:19:09,040
we know that there's a lot of 
state data sets that sometimes 

346
00:19:09,040 --> 00:19:11,400
roll up to the feds. 
Sometimes it takes a while to 

347
00:19:11,400 --> 00:19:13,480
roll up to the feds. 
Sometimes it never goes. 

348
00:19:13,480 --> 00:19:15,800
Up never goes up there. 
Yeah, because they don't have 

349
00:19:15,960 --> 00:19:19,080
money to do it, but they just 
track their own state, State 

350
00:19:19,080 --> 00:19:22,920
lead sites, voluntary 
remediation sites, USD sites 

351
00:19:22,920 --> 00:19:24,360
that don't go all the way up to 
the feds. 

352
00:19:24,760 --> 00:19:28,240
There's, I mean, and of course, 
as with everything you go from 

353
00:19:28,240 --> 00:19:30,640
one state to another, it can be 
drastically different. 

354
00:19:30,640 --> 00:19:34,040
So our next version of release, 
we're going to essentially 

355
00:19:34,040 --> 00:19:37,680
double the amount of unique 
toxicants in the land, air and 

356
00:19:37,680 --> 00:19:38,960
water. 
We're going to get around, we're

357
00:19:39,600 --> 00:19:41,360
actually going to get close to 
1900. 

358
00:19:42,040 --> 00:19:45,680
It says 1500, but it's when we, 
when I get all done and said 

359
00:19:45,680 --> 00:19:49,360
with this, this effort I'm 
currently under way on we're, 

360
00:19:49,480 --> 00:19:51,560
we're going to have 1900 
different toxins. 

361
00:19:52,160 --> 00:19:55,280
We're going to drastically 
improve the number and ability 

362
00:19:55,280 --> 00:19:58,040
for folks to understand not 
drinking water. 

363
00:19:58,040 --> 00:20:01,280
But the other one, the the 
contact surface water, lakes, 

364
00:20:01,280 --> 00:20:04,000
ponds, rivers, streams, we're 
going to drastically improve 

365
00:20:04,000 --> 00:20:07,160
that data set quite a bit in 
terms of detail. 

366
00:20:07,160 --> 00:20:10,080
Also the air quality right now 
we went for the low hanging 

367
00:20:10,080 --> 00:20:12,960
fruit air quality. 
You know, people know AQI, 

368
00:20:13,080 --> 00:20:15,640
right? 
There's 66 sort of measured 

369
00:20:15,640 --> 00:20:18,920
chemicals that go into that. 
We've got those six, but. 

370
00:20:20,040 --> 00:20:22,400
There's hundreds that they're 
actually measuring, so we're 

371
00:20:22,400 --> 00:20:25,480
going to bring those in too. 
Yeah, well, you know the the 

372
00:20:25,480 --> 00:20:30,480
likelihood now too of well, not 
the likelihood the emergence of 

373
00:20:30,480 --> 00:20:33,800
P Foss in the industry. 
I mean that one should be, I 

374
00:20:33,800 --> 00:20:37,600
would think, a big hot topic for
Toxie map to start tracking. 

375
00:20:37,600 --> 00:20:38,080
It. 
Oh yeah. 

376
00:20:38,400 --> 00:20:41,280
Well, yeah, you saw it on that 
list, right there was the list 

377
00:20:41,280 --> 00:20:42,520
she had of Yeah. 
It's. 

378
00:20:43,600 --> 00:20:45,800
In there. 
Already it's in there. 

379
00:20:45,960 --> 00:20:48,600
It is in there so and so. 
There's a difference between 

380
00:20:48,920 --> 00:20:51,240
measuring it and a different 
difference between addressing it

381
00:20:51,240 --> 00:20:52,800
as a standard. 
And that's the hot topic right 

382
00:20:52,800 --> 00:20:55,480
now is how much is too much, 
right? 

383
00:20:55,720 --> 00:20:59,480
And you're getting different 
values associated from EPA and 

384
00:20:59,480 --> 00:21:01,680
different state level. 
I live in North Carolina, and so

385
00:21:01,920 --> 00:21:05,040
you know. 
You got some contamination there

386
00:21:05,080 --> 00:21:05,760
for sure. 
What are the? 

387
00:21:06,000 --> 00:21:08,200
PFAS. 
PFAS crucibles, if you will. 

388
00:21:08,320 --> 00:21:12,240
Although you know. 1st in 
flight, first in PFAS, no. 

389
00:21:12,360 --> 00:21:14,960
The. 
The reality is it was just the 

390
00:21:14,960 --> 00:21:17,000
first time people really noticed
it, right? 

391
00:21:17,000 --> 00:21:18,520
And of course, yeah, we have a 
lot. 

392
00:21:18,520 --> 00:21:21,320
And so the states are coming up 
with their own guidelines and 

393
00:21:21,320 --> 00:21:25,440
roles and all of that is is just
so such new science, right? 

394
00:21:25,440 --> 00:21:29,560
Like, I'm training individuals 
that I'm learning from that are 

395
00:21:29,560 --> 00:21:32,880
in my classes that are learning 
with the toxicologist at Duke 

396
00:21:33,480 --> 00:21:35,400
about how to deal with this PFS 
thing. 

397
00:21:35,400 --> 00:21:39,080
I mean, it's just crazy. 
I feel lucky to be sort of in 

398
00:21:39,080 --> 00:21:41,440
the room, if you will, with 
these folks because it's really 

399
00:21:41,480 --> 00:21:44,200
neat to watch these smart people
go at it. 

400
00:21:44,600 --> 00:21:48,920
It's it's certainly it's not 
going to be something that goes 

401
00:21:48,920 --> 00:21:52,200
away anytime soon in the market 
in our lifetime basically. 

402
00:21:52,200 --> 00:21:55,400
And yeah, so there's always 
going to be an interesting and 

403
00:21:55,400 --> 00:21:58,400
where the exposure is, where the
concentrations are highest, 

404
00:21:58,520 --> 00:22:02,480
what's going on with drinking 
water, you know, facilities 

405
00:22:02,480 --> 00:22:06,840
where's, where's the watersheds 
that are, are mostly impacted. 

406
00:22:06,840 --> 00:22:10,040
I mean, so you know, when you 
mentioned you're going to start 

407
00:22:10,040 --> 00:22:13,160
adding, you know, surface water 
type stuff to it too, that's 

408
00:22:13,160 --> 00:22:15,520
that's going to be pretty 
interesting if there's a lot of 

409
00:22:15,520 --> 00:22:17,760
data in there. 
I know for some recent 

410
00:22:17,760 --> 00:22:21,160
conversations we've had with 
some state agencies that yeah, 

411
00:22:21,160 --> 00:22:23,800
they've done some mapping, 
they've done the the sampling of

412
00:22:23,800 --> 00:22:26,280
where P Foss is kind of high in 
surface water. 

413
00:22:26,280 --> 00:22:28,400
And they doing that because 
they're trying to figure out 

414
00:22:28,880 --> 00:22:31,520
where the public intakes are 
from the drinking water 

415
00:22:31,520 --> 00:22:33,760
facilities and should they go 
upstream and who's the 

416
00:22:33,760 --> 00:22:35,840
environment, who's the 
industrial dischargers and 

417
00:22:35,840 --> 00:22:36,880
things like that. 
So. 

418
00:22:37,200 --> 00:22:41,600
Yeah, and this is The thing is 
we're learning that PFAS, not to

419
00:22:41,600 --> 00:22:44,320
stay stuck on it, you know, it's
using a lot of different things 

420
00:22:44,320 --> 00:22:46,400
and in some cases it's used in 
very important things like 

421
00:22:46,400 --> 00:22:51,520
firefighting foam, which. 
OK, great, Well, OK, great. 

422
00:22:51,520 --> 00:22:54,880
What if we use it once on an 
airplane or a fire, a Firehouse 

423
00:22:54,880 --> 00:22:57,400
or firehouses, store it, 
whatever, right? 

424
00:22:57,400 --> 00:22:59,720
Like all these things that 
aren't just necessarily 

425
00:22:59,720 --> 00:23:04,520
industrial producers of Teflon, 
but just like plastic. 

426
00:23:04,560 --> 00:23:06,560
What do we use that has plastic 
in it? 

427
00:23:07,640 --> 00:23:09,520
Everything. 
Almost everything. 

428
00:23:09,680 --> 00:23:10,600
Everything. 
Yeah. 

429
00:23:11,160 --> 00:23:15,920
There's an article recently that
came out that indicated research

430
00:23:15,920 --> 00:23:20,280
has found PFAS in the 
bloodstream of polar bears in 

431
00:23:20,280 --> 00:23:22,640
Greenland. 
So it is ubiquitous. 

432
00:23:22,640 --> 00:23:25,800
It's not just like, you know, in
our drinking water, It's been 

433
00:23:25,800 --> 00:23:28,760
spread all over the world. 
Our assumption is that it's 

434
00:23:28,760 --> 00:23:31,000
ubiquitous. 
And, you know, where do we go 

435
00:23:31,000 --> 00:23:32,280
from there? 
What are we going to do about 

436
00:23:32,280 --> 00:23:34,880
it? 
What, how can we manage that and

437
00:23:34,880 --> 00:23:38,920
what protect our bodies from it?
And there are techniques, there 

438
00:23:38,920 --> 00:23:42,480
are things that can actually 
pull PFAS out of drinking water.

439
00:23:42,480 --> 00:23:45,760
So which is a really good? 
News yeah, there's a lot of 

440
00:23:45,760 --> 00:23:49,080
really good technology for that 
and and that's great. 

441
00:23:49,320 --> 00:23:52,520
And and finally, you know, 
there's there is some, you know,

442
00:23:52,520 --> 00:23:55,680
I think some security down the 
road for a lot of people who are

443
00:23:55,680 --> 00:23:58,400
concerned about exposure. 
But it definitely is going to 

444
00:23:58,400 --> 00:24:01,240
come at a cost, unfortunately 
for the ratepayers of a lot of 

445
00:24:01,240 --> 00:24:03,720
drinking water facilities who 
weren't the cause of the 

446
00:24:03,760 --> 00:24:07,840
contamination, unfortunately. 
And they're paying the the cost 

447
00:24:07,840 --> 00:24:11,400
and it's it's unfortunately not 
really a fair proposition. 

448
00:24:11,400 --> 00:24:13,840
But what are you going to do? 
Are you going to have bad water 

449
00:24:13,840 --> 00:24:17,560
or are you going to, you know, 
so that's the crux that we're in

450
00:24:17,560 --> 00:24:20,680
with a lot of these communities 
that are highly impacted. 

451
00:24:21,840 --> 00:24:24,560
Hello ET Nation, I want to thank
you for listening to the 

452
00:24:24,560 --> 00:24:26,080
podcast. 
If you're enjoying the 

453
00:24:26,080 --> 00:24:28,960
interviews we bring you, 
consider supporting the program 

454
00:24:28,960 --> 00:24:32,920
by visiting my website at 
seankgrady.com and buy me a cup 

455
00:24:32,920 --> 00:24:35,040
of coffee. 
Proceeds will go towards helping

456
00:24:35,040 --> 00:24:38,440
me continue producing timely 
content and offset production 

457
00:24:38,440 --> 00:24:41,360
costs. 
I'd also like to take a moment 

458
00:24:41,360 --> 00:24:43,880
and recognize a few of our 
sponsors of the show who have 

459
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been amazing partners and our ET
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460
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If you're looking for a drilling
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461
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462
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site and look no further than 
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463
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Cascade has over 37 offices 
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464
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huge range of environmental and 
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465
00:25:04,120 --> 00:25:06,840
characterization, and 
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466
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With their huge fleet of 
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467
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Cascade is a great choice to 
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468
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infrastructure needs. 
To learn more, check out their 

469
00:25:17,240 --> 00:25:23,280
website site@cascade-env.com. 
That's cascade-env.com. 

470
00:25:23,440 --> 00:25:25,960
Hey, are you looking for an 
equipment rental company to help

471
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you with your next wastewater 
remediation or waste management 

472
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E Tank is the only environmental

473
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474
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475
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This protocol gives Peace of 

476
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477
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liability as well as the future 
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478
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479
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480
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481
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482
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The next time you are presented 
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483
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484
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I want to thank one of our 
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485
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Wastelink is the all in one 
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486
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487
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488
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489
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490
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491
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492
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493
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494
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495
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496
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497
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schedule a demo today. 
You know, when you look at this 

498
00:27:01,600 --> 00:27:04,680
technology stack you guys are 
working on, talk about building 

499
00:27:04,680 --> 00:27:08,200
a platform that geolocates 
toxins with the three mile 

500
00:27:08,200 --> 00:27:11,520
radius and you know this massive
data challenge, you know, what 

501
00:27:11,520 --> 00:27:15,400
core technologies are you using 
to power this visualization? 

502
00:27:15,920 --> 00:27:20,280
Yeah. 
You know, Peter has his GIS, you

503
00:27:20,280 --> 00:27:23,640
know his amazing, his technology
there in his office, but we also

504
00:27:23,640 --> 00:27:26,480
have a CTO and he's working on 
that. 

505
00:27:26,480 --> 00:27:30,080
He's using a number of different
technologies. 

506
00:27:30,120 --> 00:27:34,520
I'll just mention a few. 
He we are using map box for the,

507
00:27:34,640 --> 00:27:38,920
the, it's the kind of the very 
user friendly kind of a simple 

508
00:27:39,160 --> 00:27:41,960
interactive map program that's 
out there. 

509
00:27:41,960 --> 00:27:46,200
We're using super base for the 
data and React for some of the 

510
00:27:46,200 --> 00:27:49,080
coding and it's on AWS so it's 
it's a. 

511
00:27:49,240 --> 00:27:53,240
Cloud system. 
Yeah, it's a very big data set 

512
00:27:53,240 --> 00:27:56,240
with obviously backed up many 
times. 

513
00:27:56,800 --> 00:27:58,920
And we also have a lot of 
security, you know, 

514
00:27:58,920 --> 00:28:02,680
cybersecurity measures in place 
that in fact we have one of the 

515
00:28:02,760 --> 00:28:06,840
top cybersecurity experts on the
board and she's advising us on 

516
00:28:06,840 --> 00:28:10,120
that matter often. 
So we had, it's a very complex 

517
00:28:10,120 --> 00:28:14,160
but very manageable stack and we
have a really capable, we're 

518
00:28:14,160 --> 00:28:15,880
blessed with the capable 
technology, yeah. 

519
00:28:16,720 --> 00:28:19,200
He's straight. 
Keeping it fast is important, 

520
00:28:19,200 --> 00:28:20,120
right? 
Yeah. 

521
00:28:20,120 --> 00:28:22,480
Right, that is the the the trick
right? 

522
00:28:22,720 --> 00:28:25,360
And and curious, is AI playing a
role in this? 

523
00:28:25,400 --> 00:28:27,840
I don't know this stack for you 
guys as well. 

524
00:28:28,720 --> 00:28:31,920
Well, we are not predicting 
anything, OK? 

525
00:28:31,920 --> 00:28:34,440
We are. 
We are presenting reality. 

526
00:28:34,480 --> 00:28:36,880
So we're not doing any 
predictive modeling. 

527
00:28:36,880 --> 00:28:40,320
We're not. 
We, our CTO may use AI in some 

528
00:28:40,320 --> 00:28:42,760
of the code creation process, 
but that's it. 

529
00:28:42,760 --> 00:28:46,480
All the data are real life, real
world accurate. 

530
00:28:46,880 --> 00:28:51,040
And I think paradoxically, in 
this age of AI mania, it's a 

531
00:28:51,040 --> 00:28:55,280
strength of ours to be grounded 
and rooted in the real world. 

532
00:28:56,160 --> 00:29:00,160
Yeah, they're, you know, we, 
we've had discussions about oh, 

533
00:29:00,160 --> 00:29:03,600
no, OK, wouldn't it be great if 
there was a sort of site based 

534
00:29:04,120 --> 00:29:09,560
agentic or agent AI to help 
someone explore this explore 

535
00:29:09,560 --> 00:29:13,280
Toxie map or explore the data 
that comes out of their St. 

536
00:29:13,280 --> 00:29:14,720
search. 
So it's definitely on our 

537
00:29:14,720 --> 00:29:17,280
horizon, but we're not, we're 
certainly not. 

538
00:29:17,360 --> 00:29:20,360
We're just using, we're using 
cloud storage, right? 

539
00:29:20,840 --> 00:29:25,320
Like I joke, we're using server 
farms as opposed to corn farms. 

540
00:29:25,320 --> 00:29:28,360
We're using server farms and so 
does everybody else. 

541
00:29:28,920 --> 00:29:31,520
Basically we see if we, you 
know, we have an amazing road 

542
00:29:31,520 --> 00:29:33,040
map. 
There's so much on our road map 

543
00:29:33,040 --> 00:29:35,040
that's exciting. 
And one of the things not only 

544
00:29:35,040 --> 00:29:38,760
having sort of like a chat bot 
or something to help somebody 

545
00:29:38,760 --> 00:29:41,120
through the massive amount of 
information, but also we 

546
00:29:41,120 --> 00:29:45,760
envision a future where maybe 
there is a pollution copilot, 

547
00:29:46,120 --> 00:29:48,720
you know, for, for every person 
on their iPhone or their, their 

548
00:29:48,720 --> 00:29:51,400
Android. 
And that's definitely going to 

549
00:29:51,400 --> 00:29:54,720
be have an AI component. 
So we're we're using AI for some

550
00:29:54,720 --> 00:29:57,560
features, but not around the 
data in the building, but not 

551
00:29:57,560 --> 00:30:03,280
around the data itself. 
Now some road map features. 

552
00:30:03,280 --> 00:30:05,040
Let's talk a little bit about 
some of your features. 

553
00:30:05,040 --> 00:30:07,680
You kind of think I mean because
I can think of 1 right away that

554
00:30:07,680 --> 00:30:11,240
seems to be like an ideal fit 
for this solution. 

555
00:30:11,600 --> 00:30:15,400
What is that? 
Well, say I'm a concerned 

556
00:30:15,400 --> 00:30:19,560
citizen and I'm looking for, you
know, impacts in my 

557
00:30:19,560 --> 00:30:22,200
neighborhood. 
And I want to know once I figure

558
00:30:22,200 --> 00:30:25,240
out that I've got contaminated 
sites that let right around my 

559
00:30:25,400 --> 00:30:30,160
my home and do I have any 
exposure that I need to worry 

560
00:30:30,160 --> 00:30:35,200
about whether that air, water, 
those types of things. 

561
00:30:35,280 --> 00:30:38,760
Maybe there's a way to kind of 
link up and partner with a, a 

562
00:30:38,760 --> 00:30:42,440
company that could offer, you 
know, a drop ship sampling prop,

563
00:30:42,600 --> 00:30:45,960
you know, program to sample your
water, you know, type thing and 

564
00:30:46,200 --> 00:30:50,040
you use that data, start 
building further data sets into 

565
00:30:50,040 --> 00:30:51,360
this rate. 
That's right. 

566
00:30:51,800 --> 00:30:54,680
Kind of Crowdsource other 
things, right, Right. 

567
00:30:54,800 --> 00:30:57,800
Yeah, Crowdsourcing is actually 
on our road map for sure, not 

568
00:30:57,800 --> 00:31:02,440
just people that use Toxie map 
to then get a sample. 

569
00:31:02,440 --> 00:31:05,280
But the reality is a lot of 
people have information already 

570
00:31:05,320 --> 00:31:07,640
right, one way or another. 
And so we're going to build that

571
00:31:07,640 --> 00:31:11,000
in as part of a road map is to 
think, how do we really get the 

572
00:31:11,000 --> 00:31:14,200
community involved? 
Because this is this is all of 

573
00:31:14,200 --> 00:31:16,040
us, right? 
Like we care about this. 

574
00:31:16,480 --> 00:31:19,160
We all do. 
And the the more we care, the 

575
00:31:19,160 --> 00:31:20,760
more benefit we get to each 
other. 

576
00:31:21,040 --> 00:31:24,080
You know, another, another one. 
And just so, I mean, I think 

577
00:31:24,080 --> 00:31:27,560
Deb, I told you this before, but
I've, I've, I used to operate 

578
00:31:27,560 --> 00:31:29,200
and manage a software product 
too. 

579
00:31:29,680 --> 00:31:34,480
And so we had sprints and road 
map planning and you know, all 

580
00:31:34,480 --> 00:31:37,560
the, you know, I had a good 
scrum master and you know, it 

581
00:31:37,560 --> 00:31:39,600
was a lot of fun. 
But here's another thought, you 

582
00:31:39,600 --> 00:31:43,520
know, like where's the recycling
center, my closest recycling 

583
00:31:43,520 --> 00:31:47,200
center to my property so I can 
recycle those toxins that are, 

584
00:31:47,200 --> 00:31:49,320
you know, maybe getting in the 
system because not everyone, you

585
00:31:49,600 --> 00:31:52,000
know, usually knows where they 
can find that data. 

586
00:31:52,280 --> 00:31:54,520
Another little interesting 
tidbit. 

587
00:31:54,520 --> 00:31:56,200
Or where's the landfill, right? 
I mean, there. 

588
00:31:56,200 --> 00:31:59,600
So those are things I think, you
know, just kind of thinking out 

589
00:31:59,600 --> 00:32:02,320
loud maybe, you know, helping 
you kind of build out this 

590
00:32:02,840 --> 00:32:06,640
future view of this program. 
Since I've been in the 

591
00:32:06,640 --> 00:32:10,680
environmental field a long time 
myself, former consultant for 23

592
00:32:10,680 --> 00:32:14,120
years myself and a regulator for
aid, I kind of kind of know the 

593
00:32:14,600 --> 00:32:17,240
the mindset of these guys. 
And so yeah, that's another one 

594
00:32:17,240 --> 00:32:20,000
that would be really good. 
But when you talk about your 

595
00:32:20,000 --> 00:32:22,520
target audience a little bit, 
let's talk through that. 

596
00:32:22,520 --> 00:32:25,080
I mean, you partner with 
networks like the Mosaic 

597
00:32:25,080 --> 00:32:28,360
Diagnostics, maybe talk a little
bit about who they are, what 

598
00:32:28,360 --> 00:32:31,240
they are with it, what's their 
the relationship with them? 

599
00:32:31,240 --> 00:32:33,320
How does that product help them?
Yeah. 

600
00:32:34,240 --> 00:32:38,160
So we have sort of AB to B to C 
model right now as well as AB to

601
00:32:38,160 --> 00:32:41,400
C model. 
And we are working with and 

602
00:32:41,400 --> 00:32:46,640
through healthcare practitioners
and Mosaic Diagnostics is a 

603
00:32:46,640 --> 00:32:50,560
reference lab and they have 
three tests that assess the bio 

604
00:32:50,560 --> 00:32:54,200
accumulation of environmental 
toxins, you know in our body. 

605
00:32:54,600 --> 00:32:58,240
And so that's a really important
partner because that gives our 

606
00:32:58,520 --> 00:33:03,480
our B to C consumers users point
of, you know, an action that 

607
00:33:03,480 --> 00:33:07,200
they can take that has very, you
know, that has great potential 

608
00:33:07,200 --> 00:33:09,960
for healing. 
Also, we are in the process of 

609
00:33:09,960 --> 00:33:12,800
supporting integrative 
naturopathic and functional 

610
00:33:12,800 --> 00:33:17,000
doctors to really profoundly 
change the standard of care 

611
00:33:17,000 --> 00:33:21,840
around every touch point with a 
patient to include a Toximap 

612
00:33:21,840 --> 00:33:24,920
report for each patient. 
So that not only are we talking 

613
00:33:24,920 --> 00:33:29,240
about symptoms or diagnosis or 
medications or whatever, but 

614
00:33:29,240 --> 00:33:32,720
also what are your potential 
exposures and which tests should

615
00:33:32,720 --> 00:33:36,800
we be ordering for you? 
And then we can build a plan to 

616
00:33:37,680 --> 00:33:41,760
create detoxification for your 
body if you have stuff that's in

617
00:33:41,760 --> 00:33:45,320
the body, which most of us have.
And then how not to re toxify 

618
00:33:45,360 --> 00:33:48,680
because when we are there and 
there are great technique for 

619
00:33:48,680 --> 00:33:52,280
detox, but if we're constantly 
being retoxed at the same time, 

620
00:33:52,440 --> 00:33:55,080
it's kind of a race between 
detox and Retox. 

621
00:33:55,160 --> 00:33:59,680
And if people the interventions 
not going to to be sustainable 

622
00:33:59,680 --> 00:34:01,880
if they're just everyone's just 
being retoxified. 

623
00:34:02,360 --> 00:34:07,160
And so Toximap helps detox win 
that race because people can 

624
00:34:07,160 --> 00:34:11,400
they're incredible mitigating 
actions patients or people can 

625
00:34:11,400 --> 00:34:14,800
take. 
If they are aware of what toxins

626
00:34:14,800 --> 00:34:17,320
are in their environment, they 
can avoid the points of 

627
00:34:17,320 --> 00:34:20,239
potential contact. 
They can test their soil and 

628
00:34:20,239 --> 00:34:23,920
maybe use garden raised beds or 
something if they're going to do

629
00:34:23,920 --> 00:34:26,080
gardening or flowering. 
So they're not interacting with 

630
00:34:26,080 --> 00:34:30,120
the soil that much. 
Water filters, air filters, you 

631
00:34:30,120 --> 00:34:32,840
know, avoid the locations. 
I'll tell you what, I do not 

632
00:34:33,080 --> 00:34:36,120
allow my child to swim in any 
water body that I haven't toxi 

633
00:34:36,120 --> 00:34:38,480
mapped. 
And that lesson was hard one, 

634
00:34:38,480 --> 00:34:43,600
because there was a public town 
pond in Massachusetts where we 

635
00:34:43,600 --> 00:34:46,440
used to live that everyone went 
to. 

636
00:34:46,480 --> 00:34:50,040
Very sweet, you think this world
sweet little pond, great beach 

637
00:34:51,239 --> 00:34:55,400
and she I would let, I would 
unknowingly let her swim there. 

638
00:34:55,400 --> 00:35:00,000
And after I create a Toxie map, 
turns out it had elevated levels

639
00:35:00,000 --> 00:35:04,400
of mercury and that actually was
confirmed in her and some of her

640
00:35:04,400 --> 00:35:08,920
lab work. 
That is a very powerful action I

641
00:35:08,920 --> 00:35:12,560
as a parent can take to protect 
my child and myself. 

642
00:35:12,640 --> 00:35:15,720
You know, if I just don't 
interact with these points of 

643
00:35:16,080 --> 00:35:20,280
potential exposure, it really 
supports the healing process 

644
00:35:20,280 --> 00:35:24,480
that that's happening. 
Well, maybe Peter, you can maybe

645
00:35:24,480 --> 00:35:27,000
kind of talk a little bit about 
some of the environmental 

646
00:35:27,000 --> 00:35:30,840
consulting community type use 
cases or any EHS professional 

647
00:35:30,840 --> 00:35:34,800
and you know some of the other 
potential personas of A use case

648
00:35:34,800 --> 00:35:37,800
that could help out and maybe 
give us an idea of what you see 

649
00:35:37,800 --> 00:35:39,920
there. 
Yeah, sure. 

650
00:35:40,000 --> 00:35:41,360
Yeah. 
So Deb's already kind of 

651
00:35:41,360 --> 00:35:44,200
mentioned how we've got 
functional doctors, we've got 

652
00:35:44,200 --> 00:35:47,160
mosaics. 
So the, the company that 

653
00:35:47,160 --> 00:35:53,040
provides the test to test the 
human part and, or other 

654
00:35:53,040 --> 00:35:56,600
companies that have the test 
kits for the soil and water, 

655
00:35:56,600 --> 00:35:59,360
right? 
So, you know, taking, taking the

656
00:35:59,360 --> 00:36:01,320
knowledge that we give you and 
go to the next level. 

657
00:36:01,400 --> 00:36:04,040
And that's what we tend to do in
environmental consulting, right?

658
00:36:04,040 --> 00:36:09,560
We, we are helping investigate, 
summarize and visualize and then

659
00:36:09,560 --> 00:36:13,720
make a recommendation. 
So a lot of what we do and, and 

660
00:36:13,720 --> 00:36:17,040
I still do in the environmental 
consulting world is we do a like

661
00:36:17,040 --> 00:36:20,040
a landscape level analysis. 
And then you start identifying 

662
00:36:20,040 --> 00:36:22,280
sites of interest, whether 
they're sites that are good or 

663
00:36:22,280 --> 00:36:25,080
sites or that are bad, and then 
you start to rank them, right? 

664
00:36:25,080 --> 00:36:27,680
That's what we do for all sorts 
of things as environmental 

665
00:36:27,680 --> 00:36:30,280
profession. 
And so the environmental 

666
00:36:30,280 --> 00:36:32,640
consulting community, what 
Toximap can do is provide a 

667
00:36:32,640 --> 00:36:34,760
short, a short circuit, right, a
shortcut. 

668
00:36:34,920 --> 00:36:38,840
And in in the consulting world, 
you are billable to a project. 

669
00:36:39,000 --> 00:36:41,160
You take time, you take money, 
it takes budget. 

670
00:36:41,400 --> 00:36:46,280
If you can do something in 30 
minutes and QA it as opposed to 

671
00:36:46,320 --> 00:36:49,720
6 to 8 hours while you save a 
lot of money and time, right. 

672
00:36:49,720 --> 00:36:51,520
And then you roll that up over 
time. 

673
00:36:51,520 --> 00:36:54,560
It saves a lot of money and time
for the company and the clients.

674
00:36:54,840 --> 00:36:56,240
Yeah. 
I mean, you know, there's a lot 

675
00:36:56,240 --> 00:37:00,160
of work on the environmental 
side. 

676
00:37:00,360 --> 00:37:05,400
So just for instance, all 
appropriate inquiries related 

677
00:37:05,400 --> 00:37:09,240
to, you know, a phase one kind 
of due diligence type project. 

678
00:37:09,600 --> 00:37:13,480
You know, we've typically will 
go through an EDR request and 

679
00:37:13,480 --> 00:37:16,520
and pull the data and see what 
sites you see there. 

680
00:37:16,880 --> 00:37:20,840
It's not always identifying the 
containment concern, but you, 

681
00:37:20,840 --> 00:37:25,640
you see a site, if you're doing 
NEPA work, you've got to 

682
00:37:25,640 --> 00:37:28,120
identify what are potential 
concerns out there there. 

683
00:37:28,120 --> 00:37:31,440
So I think you guys got a nice 
niche here that you can get in 

684
00:37:31,440 --> 00:37:33,880
front of the consulting 
community and, and use this as 

685
00:37:33,880 --> 00:37:38,280
an additional layer or 
additional, you know, source of 

686
00:37:38,280 --> 00:37:43,560
information for them to actually
grab this data quickly included 

687
00:37:43,560 --> 00:37:47,160
in their report that you've 
done, you know, this additional 

688
00:37:47,280 --> 00:37:51,040
taxi map level, you know, 
reviewed identifying these 

689
00:37:51,040 --> 00:37:54,840
containments of concern. 
Because you know, you're always 

690
00:37:54,840 --> 00:37:58,720
trying to educate or, you know, 
I guess not educate, but to, you

691
00:37:58,720 --> 00:38:03,200
know, inform the, the clients 
what the concerns are in, in, in

692
00:38:03,200 --> 00:38:05,480
their area where they're looking
at whether it's a brownfield 

693
00:38:05,480 --> 00:38:10,480
site or, you know, IPA projects,
you know, so, so if there's a 

694
00:38:10,480 --> 00:38:14,480
way that I, I see a pathway 
where you guys could get, you 

695
00:38:14,480 --> 00:38:17,720
know, more in front of that 
aspect of the environmental 

696
00:38:17,760 --> 00:38:21,320
assessment phase and use it as a
tool for that, that would be 

697
00:38:21,320 --> 00:38:23,920
really, I think powerful. 
Yeah, absolutely. 

698
00:38:23,920 --> 00:38:26,800
I mean I used to do Phase 1 Esas
and and I know all that goes 

699
00:38:26,800 --> 00:38:30,440
into them and Toximap is of 
course not going to replace 

700
00:38:30,440 --> 00:38:33,400
that. 
But I can certainly in a big 

701
00:38:33,400 --> 00:38:37,800
way, like I said, short, short 
circuit or supplement that any 

702
00:38:38,400 --> 00:38:40,880
even, you know, the same thing 
applies. 

703
00:38:40,880 --> 00:38:44,880
And and Deb can talk more about 
the relationship we have with a 

704
00:38:44,880 --> 00:38:46,800
National Association of home 
inspectors, right? 

705
00:38:46,800 --> 00:38:50,360
Like home inspectors rely on 
databases and things and, and 

706
00:38:50,360 --> 00:38:53,400
put them into their report to 
you, right, If you're going to 

707
00:38:53,400 --> 00:38:57,280
buy a piece of property. 
And so you get a home inspection

708
00:38:57,320 --> 00:39:00,680
right through that due diligence
period of of home buying. 

709
00:39:01,000 --> 00:39:04,480
And so we we're in conversation 
with them about that to supply 

710
00:39:04,960 --> 00:39:08,320
sort of a plug in add in add on 
thing as well, right. 

711
00:39:08,360 --> 00:39:11,960
So this huge database has a lot 
of great applications just like 

712
00:39:11,960 --> 00:39:14,680
you, you identified for 
environmental consultants for 

713
00:39:14,840 --> 00:39:16,880
home inspector. 
Yeah, insurance, yeah. 

714
00:39:16,880 --> 00:39:18,520
I mean, yeah, there's so much 
there. 

715
00:39:18,520 --> 00:39:19,960
I think. 
Yeah, I think you guys are on to

716
00:39:19,960 --> 00:39:22,840
something really cool. 
Like I like where you're going 

717
00:39:22,840 --> 00:39:25,200
with this, the maps very 
interactive. 

718
00:39:25,200 --> 00:39:27,880
I think the data is very 
insightful. 

719
00:39:28,160 --> 00:39:31,720
I do kind of like the, the 
scoring metrics that you pulled 

720
00:39:31,720 --> 00:39:36,720
together, although I think maybe
do you guys do any, do you kind 

721
00:39:36,720 --> 00:39:40,120
of summarize how you derive 
these scores for the user when 

722
00:39:40,120 --> 00:39:43,120
they use it, they kind of have a
little peek behind like how they

723
00:39:43,120 --> 00:39:45,640
come up with this rating. 
You know, what's the the 

724
00:39:45,640 --> 00:39:49,520
process, because you probably I 
can envision some engineers or 

725
00:39:49,520 --> 00:39:51,880
some other scientists going, 
hey, you know, what does this 

726
00:39:51,880 --> 00:39:53,320
even mean? 
And they're going to challenge 

727
00:39:53,440 --> 00:39:55,280
at least the rating. 
So I'm. 

728
00:39:55,520 --> 00:39:57,720
Scared. 
We welcome the challenge, We 

729
00:39:57,720 --> 00:40:00,520
absolutely welcome any 
challenge, any feedback to. 

730
00:40:00,520 --> 00:40:02,720
The you, you know where I'm 
coming from because that's just 

731
00:40:02,720 --> 00:40:05,200
the nature of the nature of 
scientific community, yeah. 

732
00:40:07,080 --> 00:40:09,440
Yeah, let's, let's open the hood
and take a look at this thing. 

733
00:40:09,560 --> 00:40:12,080
Yeah, right. 
And so we want to open the hood 

734
00:40:12,080 --> 00:40:13,840
appropriately. 
So it's not. 

735
00:40:14,240 --> 00:40:17,920
It's patent pending. 
So we we have a few patents on 

736
00:40:17,920 --> 00:40:21,120
this, but you can talk a little 
bit about it it. 

737
00:40:22,160 --> 00:40:26,120
Really, it really is true to to 
what it says. 

738
00:40:26,120 --> 00:40:29,280
It's an intensity, right? 
And intensity has to do with the

739
00:40:29,280 --> 00:40:32,080
number and the density, spatial 
density, right. 

740
00:40:32,080 --> 00:40:37,360
So what we've done is and to 
inform why did I get a moderate 

741
00:40:37,680 --> 00:40:41,080
or OK, I've got a moderate, but 
this one's really high. 

742
00:40:41,120 --> 00:40:44,520
Like, that's why we give you 
those sort of broken out levels 

743
00:40:44,520 --> 00:40:46,360
of intensity by media. 
Yeah. 

744
00:40:47,000 --> 00:40:48,280
Because maybe you never go 
swimming. 

745
00:40:49,000 --> 00:40:49,800
Yeah, you're right. 
Yeah. 

746
00:40:49,800 --> 00:40:52,320
So it's not a big problem for me
if I'm not going swimming, 

747
00:40:52,360 --> 00:40:54,040
right. 
You know, it's like I don't have

748
00:40:54,040 --> 00:40:55,680
that exposure. 
I don't eat fish, I'm not 

749
00:40:55,680 --> 00:40:58,120
fishing, I'm not going to get in
the water, that sort of thing. 

750
00:40:58,120 --> 00:41:01,720
But maybe, you know, we have 
some colleagues that they love 

751
00:41:01,720 --> 00:41:04,400
going swimming. 
Yeah, well, I mean, you're 

752
00:41:04,400 --> 00:41:06,120
right. 
So it says, I got a question. 

753
00:41:06,120 --> 00:41:10,400
How does toximat bridge the gap 
between identifying a risk and 

754
00:41:10,400 --> 00:41:13,040
taking action through healthcare
or mitigation? 

755
00:41:13,880 --> 00:41:18,080
Yeah. 
So we provide our users with 

756
00:41:18,160 --> 00:41:21,600
mitigating in you know 
mitigating steps that they can 

757
00:41:21,600 --> 00:41:26,360
take like for instance if there 
is has been some water drinking 

758
00:41:26,360 --> 00:41:29,280
water contamination identified. 
So we'll provide them 

759
00:41:29,280 --> 00:41:35,120
information about how to which 
water filters might be 

760
00:41:35,120 --> 00:41:37,760
appropriate for the particular 
contaminants in the drinking 

761
00:41:37,760 --> 00:41:39,400
water. 
So water filters either 

762
00:41:39,400 --> 00:41:43,000
centrally through the house or 
at each tap point in the house, 

763
00:41:43,320 --> 00:41:46,960
which water bodies to avoid 
Mosaic diagnostics, we give them

764
00:41:46,960 --> 00:41:49,520
a lot of resources for 
toxicologist, functional 

765
00:41:49,520 --> 00:41:53,120
doctors, naturopathic doctors, 
chelation. 

766
00:41:53,120 --> 00:41:56,560
There's a huge amount of amount 
of resources on the site that we

767
00:41:56,560 --> 00:41:58,920
can provide. 
Of course, the diagnostic 

768
00:41:58,920 --> 00:42:03,960
testing as well, we're also 
about to bring on the course 

769
00:42:03,960 --> 00:42:07,800
from EMEI, which is 
Environmental Medicine Education

770
00:42:08,200 --> 00:42:11,800
Institute that actually trains 
doctors, but they have a course 

771
00:42:11,800 --> 00:42:15,040
for the general public about how
to thrive in the polluted world 

772
00:42:15,040 --> 00:42:18,400
or toxic environment. 
And so they'll have lots of 

773
00:42:18,400 --> 00:42:21,840
tricks and information there. 
We also provide limited 

774
00:42:21,840 --> 00:42:25,480
information about like opening 
the detoxification pathways. 

775
00:42:25,480 --> 00:42:27,640
We're not, we're not medical 
doctors. 

776
00:42:27,920 --> 00:42:31,080
We are not prescribing or 
diagnosing or giving any sort of

777
00:42:31,080 --> 00:42:34,880
medical advice, but there's some
really simple things that people

778
00:42:34,880 --> 00:42:40,520
can do like dry brushing or 
taking NAC or taking vitamin C 

779
00:42:40,520 --> 00:42:44,920
and, you know, certain kinds of 
detoxifying foods for infrared 

780
00:42:44,920 --> 00:42:48,200
sauna, that kind of thing. 
So that people feel like they're

781
00:42:48,200 --> 00:42:51,320
not just dumped with all this 
information and know, you know, 

782
00:42:54,480 --> 00:42:57,280
test the soil, test the water, 
come up with there are 

783
00:42:57,280 --> 00:43:00,040
solutions. 
You know, I'm even hearing about

784
00:43:00,120 --> 00:43:04,800
people are inventing ways to 
clean up. 

785
00:43:04,800 --> 00:43:07,800
There's this new the mush, this 
kind of mushroom that can eat 

786
00:43:07,800 --> 00:43:10,360
certain types of toxins. 
So I can imagine a world in 

787
00:43:10,360 --> 00:43:14,600
which we're spawning a whole new
set of industries for cleanup. 

788
00:43:14,600 --> 00:43:16,960
So but that that's down the 
road. 

789
00:43:16,960 --> 00:43:20,560
What right now we're focusing on
is informing people and making 

790
00:43:20,560 --> 00:43:22,760
them feel empowered around this 
information. 

791
00:43:23,760 --> 00:43:25,360
No, that's great. 
That's really good. 

792
00:43:25,400 --> 00:43:29,280
I mean, yeah, you, you, you just
kind of touched on some stuff 

793
00:43:29,280 --> 00:43:30,920
and it just hit me in the my 
mind too. 

794
00:43:30,920 --> 00:43:33,960
It's like you guys could do a 
plug in with web MD or something

795
00:43:33,960 --> 00:43:35,920
like that. 
You know, where they, you know, 

796
00:43:35,920 --> 00:43:37,960
oh, you've got this. 
Just go right here and look it 

797
00:43:37,960 --> 00:43:40,920
up, right? 
I mean, there's some cool stuff 

798
00:43:40,920 --> 00:43:44,000
there that you're you're the 
possibilities of this 

799
00:43:44,000 --> 00:43:47,080
application are pretty endless. 
I mean, I guess yeah, you guys 

800
00:43:47,080 --> 00:43:48,240
are got. 
I like it. 

801
00:43:48,240 --> 00:43:50,400
I like it. 
So let's talk about funding. 

802
00:43:50,560 --> 00:43:51,960
Let's talk about funding and 
growth. 

803
00:43:53,080 --> 00:43:55,240
Funding and growth. 
You guys are an emerging leader 

804
00:43:55,240 --> 00:43:57,160
in the environmental with 
environmental health. 

805
00:43:57,280 --> 00:43:59,720
So where do you currently stand 
with your funding? 

806
00:43:59,720 --> 00:44:02,480
You know your seed, your Series 
A, you know what kind of key 

807
00:44:02,480 --> 00:44:06,800
milestones are you aiming to hit
to attract your next round of 

808
00:44:06,800 --> 00:44:07,880
investors. 
Yeah. 

809
00:44:08,600 --> 00:44:12,640
So we would really love to get a
few more partners on board and 

810
00:44:12,640 --> 00:44:15,720
we are in conversation with five
different potential partners or 

811
00:44:15,720 --> 00:44:18,480
more. 
So we are in the process of 

812
00:44:18,480 --> 00:44:21,600
engaging these partners. 
And once that is, they're sort 

813
00:44:21,600 --> 00:44:25,280
of like B to B to C partners, B 
to B partners who can really 

814
00:44:25,280 --> 00:44:29,000
amplify our reach to the general
public and also to the 

815
00:44:29,000 --> 00:44:32,960
professional professionals who 
are connected to our product. 

816
00:44:33,000 --> 00:44:38,520
So we are hoping to get those 
partners on board and and start,

817
00:44:38,640 --> 00:44:42,360
you know go around with the next
funding which would be seed A. 

818
00:44:42,400 --> 00:44:47,080
Seed all right, So still trying 
to get the private investors to 

819
00:44:47,080 --> 00:44:49,800
kind of jump on board and 
partner with you now before you 

820
00:44:49,800 --> 00:44:51,920
go into the next round of seed 
fund. 

821
00:44:51,920 --> 00:44:55,840
Is that, well, our priority 
right now is Angel investors, 

822
00:44:55,840 --> 00:45:00,880
individuals who are, you know, 
they're passionate about this 

823
00:45:00,880 --> 00:45:05,160
topic or any organizations that 
are strategically connected to 

824
00:45:05,160 --> 00:45:09,800
the value chain in this space. 
And yeah, individuals, we're, 

825
00:45:09,800 --> 00:45:13,280
we're not, we're not ready to 
really crowdfund yet, but we 

826
00:45:13,280 --> 00:45:16,160
will. 
We're open to the different 

827
00:45:16,160 --> 00:45:17,720
sources. 
Yeah. 

828
00:45:17,720 --> 00:45:20,680
No, I think there's a lot of 
venture capital or investment 

829
00:45:20,680 --> 00:45:23,720
venture, you know, investment 
type companies that be very 

830
00:45:23,720 --> 00:45:26,640
interested in this product and 
learning more about it would be 

831
00:45:26,640 --> 00:45:28,280
really great. 
And maybe they can hear about it

832
00:45:28,280 --> 00:45:30,040
through this podcast, and 
that'll be great. 

833
00:45:30,640 --> 00:45:35,080
Well, take your call for sure. 
Yeah, No, exactly. 

834
00:45:35,080 --> 00:45:37,560
So I mean, there's a lot of VCs 
out there that probably would 

835
00:45:37,560 --> 00:45:40,840
say this sounds like a great 
opportunity to help you help you

836
00:45:40,840 --> 00:45:43,160
guys. 
You know, the biotech industry's

837
00:45:43,160 --> 00:45:45,240
huge. 
I'm surprised they wouldn't be 

838
00:45:45,240 --> 00:45:50,080
jumping on this to help support 
the, you know, the, the medicine

839
00:45:50,080 --> 00:45:54,240
diagnosis of, you know, exposure
to their patients that come in. 

840
00:45:54,560 --> 00:45:57,800
Yeah, I, you know, there's that 
would be a huge one, I would 

841
00:45:57,800 --> 00:46:00,240
think. 
Absolutely. 

842
00:46:00,280 --> 00:46:03,160
Talk a little bit about privacy 
and ethics a little bit like 

843
00:46:03,240 --> 00:46:06,640
environmental data can sometimes
impact property values and local

844
00:46:06,640 --> 00:46:08,920
reputations. 
How do you balance the ethical 

845
00:46:08,920 --> 00:46:12,760
responsibility of transparency 
with potential sensitive 

846
00:46:12,840 --> 00:46:16,200
sensitivities of the communities
that you map? 

847
00:46:16,600 --> 00:46:19,600
Yeah, that's a really good 
question and an important 

848
00:46:19,600 --> 00:46:22,120
question, So thank you for 
asking it. 

849
00:46:22,160 --> 00:46:27,280
We do not share toxicant source 
information like private company

850
00:46:27,280 --> 00:46:30,800
names or addresses. 
We don't attribute pollution 

851
00:46:30,800 --> 00:46:32,920
presence to anyone or any 
entity. 

852
00:46:32,920 --> 00:46:36,640
We just really focus on on 
what's present. 

853
00:46:36,680 --> 00:46:41,760
We don't other organizations are
focusing on that and our primary

854
00:46:41,760 --> 00:46:46,360
ethical commitment is around 
data accuracy and accessibility.

855
00:46:47,000 --> 00:46:51,520
So we feel obligated to 
represent the data that is 

856
00:46:51,520 --> 00:46:55,800
available in the most rigorous, 
you know, accurate manner. 

857
00:46:56,160 --> 00:47:02,960
And it's possible that property 
values could be disrupted or 

858
00:47:03,040 --> 00:47:07,160
shift slightly as we become our 
information is more widely 

859
00:47:07,560 --> 00:47:09,880
spread out there. 
It's not too unlike what's 

860
00:47:09,880 --> 00:47:13,400
happening in climate risk. 
I'm not sure if you're, you 

861
00:47:13,400 --> 00:47:16,040
know, 1st St. let's just say 
they have some really 

862
00:47:16,040 --> 00:47:20,880
interesting predictive models 
about heat and flood and wind 

863
00:47:20,880 --> 00:47:25,560
risk around different locations 
in the US And of course our 

864
00:47:25,560 --> 00:47:28,760
coastlines are shifting. 
So, you know, the properties and

865
00:47:28,760 --> 00:47:32,920
coastlines are definitely going 
to be valued differently. 

866
00:47:32,920 --> 00:47:35,400
And so there's a possibility 
that that may happen. 

867
00:47:35,760 --> 00:47:39,560
But our ethical commitment is 
really towards information 

868
00:47:39,560 --> 00:47:42,800
symmetry creating, you know, 
making this information 

869
00:47:42,800 --> 00:47:47,000
ubiquitously available to 
people, businesses, 

870
00:47:47,000 --> 00:47:51,400
organizations who are making 
decisions that this to which 

871
00:47:51,400 --> 00:47:54,480
this data would contribute. 
No, that's really good. 

872
00:47:54,520 --> 00:47:59,040
I mean, yeah, I can see it is a 
can be a challenge, but I think 

873
00:47:59,040 --> 00:48:02,840
the the good outweighs the bad 
in these scenarios. 

874
00:48:02,840 --> 00:48:06,080
People need to know that they 
are have the potential exposure.

875
00:48:06,800 --> 00:48:09,440
They, a lot of people probably 
have been living in the 

876
00:48:09,440 --> 00:48:13,160
surrounding areas for decades 
and don't even know that there's

877
00:48:13,320 --> 00:48:17,200
an issue or they're the, that 
the property that's 2 miles from

878
00:48:17,200 --> 00:48:20,200
them or a mile from them. 
And, and you know, all along it 

879
00:48:20,200 --> 00:48:22,160
hasn't really affected their 
property value anyways. 

880
00:48:22,160 --> 00:48:23,520
So they're probably. 
A. 

881
00:48:24,200 --> 00:48:27,760
Big issue with it, but you know,
I think it's, it's a good, good 

882
00:48:27,760 --> 00:48:30,600
question and, and I'm glad you 
are concerned about it. 

883
00:48:30,680 --> 00:48:33,520
When you look ahead, you know, 
what's the future vision here? 

884
00:48:33,520 --> 00:48:36,360
What, what you know, look, five 
years from now, what do you 

885
00:48:36,360 --> 00:48:39,000
think Toximax going to become? 
You think it'll become a 

886
00:48:39,000 --> 00:48:42,560
standard part of real estate 
transactions or mandatory 

887
00:48:42,560 --> 00:48:46,000
diagnostic tools in the medical 
field or, you know, for primary 

888
00:48:46,000 --> 00:48:47,280
care? 
What do you, what do you, what 

889
00:48:47,280 --> 00:48:50,800
do you see this going? 
Yeah, that's a beautiful 

890
00:48:50,800 --> 00:48:53,360
question, So thank you for that 
one as well. 

891
00:48:53,840 --> 00:48:57,760
Our vision is really to provide 
the environmental intelligence 

892
00:48:57,760 --> 00:49:02,680
infrastructure that can be used 
across all industries wherever 

893
00:49:02,680 --> 00:49:04,920
it's it's needed. 
You know, that could be health 

894
00:49:04,920 --> 00:49:08,720
insurance, could be risk 
insurance, underwriting 

895
00:49:08,720 --> 00:49:12,040
medicine, healthcare, real 
estate. 

896
00:49:12,680 --> 00:49:15,840
We're really democratizing 
access to this information to 

897
00:49:15,840 --> 00:49:18,480
the general population and and 
across all industries. 

898
00:49:18,480 --> 00:49:21,720
So we don't limit it just to 
real estate or healthcare. 

899
00:49:22,080 --> 00:49:25,680
It's data that's pertinent to 
all kinds of business and 

900
00:49:25,680 --> 00:49:27,840
municipal government decision 
making. 

901
00:49:27,840 --> 00:49:33,520
So we are providing that we have
the infrastructure that the data

902
00:49:33,520 --> 00:49:37,000
asset itself and we hope to make
it ubiquitous. 

903
00:49:39,120 --> 00:49:42,600
That's pretty awesome. 
You know, I think, I think you 

904
00:49:42,600 --> 00:49:45,320
guys are on track the feature 
wise. 

905
00:49:45,320 --> 00:49:49,280
I think you've got so much in 
the road map that you could 

906
00:49:49,400 --> 00:49:52,160
deploy on, and I think that your
biggest challenge is going to be

907
00:49:52,320 --> 00:49:56,000
what do I prioritize? 
Yeah, 100%. 

908
00:49:56,000 --> 00:49:57,320
Yeah. 
We talk about a lot of things. 

909
00:49:57,320 --> 00:49:57,600
Really. 
Yeah. 

910
00:49:57,600 --> 00:50:01,520
Wouldn't it be great if you had 
a Toximap app on your phone so 

911
00:50:01,520 --> 00:50:04,400
that you got just like you get a
lightning, a lightning strike 

912
00:50:04,400 --> 00:50:08,440
proximity alert, you're like, 
hey, you're, you're within 1/4 

913
00:50:08,440 --> 00:50:11,560
mile of a Superfund site. 
Yeah, OK. 

914
00:50:11,640 --> 00:50:15,400
That's good to know. 
Another really interesting use 

915
00:50:15,400 --> 00:50:18,520
case could be institutional 
investors, you know, 

916
00:50:18,520 --> 00:50:23,840
mortgage-backed securities and 
even financial market data 

917
00:50:23,840 --> 00:50:27,440
platforms, you know, having this
data feed, you know, as a 

918
00:50:27,520 --> 00:50:30,040
decision part of their 
regression models or whatever. 

919
00:50:30,560 --> 00:50:35,400
The data are so pertinent to so 
many levels of society and 

920
00:50:35,400 --> 00:50:38,040
business. 
So it's it's really exciting. 

921
00:50:38,320 --> 00:50:39,400
No, no. 
OK. 

922
00:50:39,400 --> 00:50:42,920
So one thing we didn't cover 
though was how much does it cost

923
00:50:42,920 --> 00:50:44,800
to be a user? 
We got to go through there. 

924
00:50:44,800 --> 00:50:47,120
I mean, we can't end the program
without that. 

925
00:50:49,600 --> 00:50:54,840
So, yeah, yeah, sure. 
We for right now the pricing 

926
00:50:54,840 --> 00:50:59,320
model is very simple. 
And for now the cert the to 

927
00:50:59,320 --> 00:51:04,440
search 1 address is about 1999 
and we have bundles for 

928
00:51:04,440 --> 00:51:07,400
organizations or individuals 
depending on what the purpose is

929
00:51:07,400 --> 00:51:10,640
to have higher volume searches 
at a lower price. 

930
00:51:10,960 --> 00:51:14,440
So it goes up. 
And of course we'll we also have

931
00:51:14,840 --> 00:51:18,800
licensing kind of options as 
well that will be individually 

932
00:51:18,800 --> 00:51:21,000
priced according to the the 
partnership. 

933
00:51:21,520 --> 00:51:25,080
So that's the basic right now. 
And yeah. 

934
00:51:26,120 --> 00:51:30,600
Well, I think there's a few lab 
contacts I want to connect you 

935
00:51:30,600 --> 00:51:33,840
with that could be good for you 
that, you know, you might be 

936
00:51:33,840 --> 00:51:37,360
able to use them as plug 
insurance at some point to offer

937
00:51:37,880 --> 00:51:39,520
the service. 
I mean, unless you already have 

938
00:51:39,520 --> 00:51:41,760
them, but there's some people 
that are probably interested in 

939
00:51:41,760 --> 00:51:43,920
that. 
Yeah, environmental consultants,

940
00:51:43,920 --> 00:51:47,920
I mean, if there is a consulting
firm that feels they're going to

941
00:51:47,920 --> 00:51:51,880
use our data or platform to I 
know with Peter, he, you know, 

942
00:51:51,880 --> 00:51:56,680
using one address search on 
Toxie map could save him 4 to 8 

943
00:51:56,680 --> 00:51:59,240
hours and searching for that 
data for a client. 

944
00:51:59,240 --> 00:52:02,440
So you know, if there's a 
consulting firm that needs, you 

945
00:52:02,440 --> 00:52:06,560
know, just a lot high volume of 
address searches for sure that 

946
00:52:06,560 --> 00:52:10,440
could save them, you know, save 
them a lot of money on their 

947
00:52:10,440 --> 00:52:16,120
back on their PNL. 
So we come up with deals that 

948
00:52:16,120 --> 00:52:19,720
benefit everybody, right? 
We want to help our B to B 

949
00:52:19,720 --> 00:52:22,920
customers really benefit from 
the product. 

950
00:52:23,440 --> 00:52:26,360
Have you started to attend any 
conferences, environmental 

951
00:52:26,360 --> 00:52:28,880
conferences, to present this 
product anywhere? 

952
00:52:28,880 --> 00:52:32,040
Because that's where your 
audience is going to be going 

953
00:52:32,400 --> 00:52:35,560
for the most part to. 
I mean, Peter, you know this as 

954
00:52:35,560 --> 00:52:39,520
well as I do, but you know these
guys, they, they go to a lot of 

955
00:52:39,520 --> 00:52:43,400
conferences, they listen and see
presentations. 

956
00:52:44,320 --> 00:52:49,000
You know, the sale cycle of a 
lot of this takes time, but you 

957
00:52:49,040 --> 00:52:53,640
know that could be a really good
venue for you expanding into the

958
00:52:53,640 --> 00:52:57,040
environmental market. 
Yeah, it's on the, it's in the 

959
00:52:57,040 --> 00:52:58,960
plans as well as healthcare 
conferences. 

960
00:53:00,440 --> 00:53:01,440
Yeah. 
So you're right. 

961
00:53:01,440 --> 00:53:04,640
So I know there's, you know, 
there's an annual brownfields 

962
00:53:04,640 --> 00:53:09,920
conference that we were looking 
at going to, you know, this sort

963
00:53:09,920 --> 00:53:14,280
of functional functional 
medicine and, and other unique 

964
00:53:14,280 --> 00:53:18,840
ways of of sort of holistically 
addressing health issues. 

965
00:53:19,040 --> 00:53:20,760
There's some great conferences 
about that. 

966
00:53:20,760 --> 00:53:24,440
Of course, we hear it in the 
news about people thinking about

967
00:53:24,520 --> 00:53:26,960
PFAS, if you think about 
healthiness, all sorts of 

968
00:53:26,960 --> 00:53:30,400
things, right. 
So I think the sort of ground 

969
00:53:30,400 --> 00:53:35,000
level consciousness of these 
things is really is rising and 

970
00:53:35,320 --> 00:53:38,400
we're here for it. 
Well, this is great. 

971
00:53:38,440 --> 00:53:41,480
You know, Deb, Peter, thanks for
coming on to the show. 

972
00:53:41,480 --> 00:53:44,040
We really appreciate your time 
today. 

973
00:53:44,040 --> 00:53:49,400
And, and I like what you guys 
are doing with Toxie Map and you

974
00:53:49,400 --> 00:53:52,600
know, hopefully the listeners 
will dive into this and and take

975
00:53:52,600 --> 00:53:57,360
a look at the the application. 
We welcome your or any of their 

976
00:53:57,360 --> 00:53:59,200
feedback. 
If any of your listeners want to

977
00:53:59,200 --> 00:54:03,280
test it out and ask, ask 
questions or share ideas and 

978
00:54:03,280 --> 00:54:07,080
feedback, they find some bugs. 
We welcome it all. 100%, yeah, 

979
00:54:08,200 --> 00:54:10,200
yeah, absolutely. 
Well, that. 

980
00:54:10,400 --> 00:54:12,200
That's great. 
Yeah. 

981
00:54:12,440 --> 00:54:15,560
Well, yeah, I mean it does. 
It takes, it takes a lot to go 

982
00:54:15,560 --> 00:54:19,880
through and identify, you know, 
workflows and user experience 

983
00:54:19,880 --> 00:54:21,680
and you know, all that good 
stuff. 

984
00:54:21,720 --> 00:54:23,160
So. 
Yeah, we have an exciting 

985
00:54:23,160 --> 00:54:26,760
version 3 coming out in the next
few weeks, which is really, 

986
00:54:26,760 --> 00:54:33,000
we're adding landfills where 
we're making the UUX way simpler

987
00:54:33,000 --> 00:54:36,000
and you basically get a whole 
dashboard on one screen instead 

988
00:54:36,000 --> 00:54:37,520
of having to click back and 
forth. 

989
00:54:37,520 --> 00:54:41,480
That has a lot of very exciting 
to us features. 

990
00:54:41,480 --> 00:54:43,120
So we'll let you know when that 
comes out. 

991
00:54:44,040 --> 00:54:47,480
Please do and, and maybe tag me 
when you hit a release and we'll

992
00:54:47,480 --> 00:54:50,120
push it out to to our audience 
as well. 

993
00:54:50,120 --> 00:54:53,800
But you know, this is great. 
I, I wish you guys the best of 

994
00:54:53,800 --> 00:54:56,320
luck on this. 
And you guys are got something 

995
00:54:56,440 --> 00:54:59,320
here that I don't know. 
I haven't come across another 

996
00:54:59,320 --> 00:55:02,160
product like it yet. 
So, and I've been seeing, I see 

997
00:55:02,160 --> 00:55:06,000
a lot of technology, you know, 
and tools and, but this is a 

998
00:55:06,000 --> 00:55:09,440
good one that caught my eye and,
and thanks for meeting with me 

999
00:55:09,440 --> 00:55:11,400
today. 
Thank you and thank you for your

1000
00:55:11,400 --> 00:55:13,200
great work with this podcast. 
It's a great. 

1001
00:55:13,280 --> 00:55:13,840
Thanks so much. 
Yeah. 

1002
00:55:14,600 --> 00:55:16,600
Well, thank you very much, Dad. 
Appreciate that. 

1003
00:55:16,600 --> 00:55:18,720
OK, we'll talk to you guys soon.
Thank you. 

1004
00:55:18,720 --> 00:55:20,560
All right. 
Thanks for listening and 

1005
00:55:20,560 --> 00:55:22,880
watching the show. 
If you enjoyed the show then 

1006
00:55:22,880 --> 00:55:25,560
please share it with your 
friends and coworkers on social 

1007
00:55:25,560 --> 00:55:27,720
media and tell somebody in 
person. 

1008
00:55:28,240 --> 00:55:30,080
Thanks for being with us, ET 
Nation.

