All the data you need, all in one place. The map that turns a country's worth of public records into a decision you can defend.
Above: the little marker that has quietly been sitting on top of America's data for nearly two decades.
It is Tuesday morning at a community bank in the Midwest, and an analyst has a question that should be simple: where, exactly, is the housing shortage in this county? The answer lives in a dozen federal databases, three proprietary feeds, and a spreadsheet somebody's predecessor left behind. By the time you assemble it, the meeting is over. Unless you open PolicyMap, type in the county, and watch the shortage draw itself - block by block - before the coffee gets cold.
PolicyMap is a Philadelphia software company that does one stubborn thing extremely well: it makes the United States legible.
The platform holds more than 75,000 data indicators pulled from over 170 public and proprietary sources - census figures, lending records, health outcomes, environmental hazards, economic indicators - and lets a person with no GIS training turn any of it into a custom map, a report, or a dashboard. More than 650 organizations pay to use it: banks, hospitals, universities, city governments, real estate firms, and nonprofits.
It is not, on the face of it, a glamorous business. There are no flying cars here. There is something harder: the unglamorous discipline of keeping thousands of datasets clean, current, and standardized so that everyone else doesn't have to.
Here is the irony at the center of the whole story. The country produces a staggering amount of public data, paid for by taxpayers, free to download. And almost nobody can use it. The numbers sit in incompatible formats, on different geographies, updated on schedules only a statistician could love.
So the people who most need the data - a nonprofit writing a grant, a hospital planning a clinic, a city deciding where to invest - either hire an expensive GIS consultant or guess. The information meant to make decisions fairer was, in practice, available mostly to whoever could afford a data team.
PolicyMap's founders looked at that gap and decided the bottleneck was never the data. It was the usability.
PolicyMap did not begin in a garage. It began in 2007 as a division of the Reinvestment Fund, a Philadelphia community development financial institution that lends in neighborhoods most banks ignore. The fund had spent years wrangling place-based data to make its own loans. The thought was simple: if this is useful to us, it is useful to everyone like us.
Maggie McCullough, who had worked in the federal government before joining the Reinvestment Fund, made the bet that you could package serious data analysis into something a non-specialist would actually open. She has been CEO and founder ever since. The project spun out in 2017, became PolicyMap, Inc. in 2019, and kept the Reinvestment Fund as its majority shareholder and closest believer.
CEO & Founder. Built PolicyMap from a CDFI side project into an independent company. Background in government and community-development finance.
Chief Product Development Officer. Nearly 25 years leading software, with roots in early online-mapping startups.
Chief Customer Success Officer. With the company since 2008, owns support, service, and product quality.
Board Chair & shareholder. Chief Economist at Moody's Analytics - economics meeting geography at the board table.
Caption: A ~29-person team that argues about census tracts the way other startups argue about pull requests.
There is no software to install and no data to hunt down. You type a place, choose an indicator, and PolicyMap layers it onto a map you can clip, compare, print, and share. Need to bring your own numbers? Upload them. Need it inside your own systems? License the underlying data instead.
Layered custom maps, on-the-fly reports, cross-geography comparison, analytics, and custom data uploads - all in the browser.
Millions of standardized U.S. socio-economic data points, cleaned and maintained, ready to drop into your own models.
Demographic, economic, and environmental layers combined to evaluate where to put a clinic, a branch, or an investment.
Tuned for academic, government, finance, health, nonprofit, commercial, and public-library users.
PolicyMap launches as a division of the Reinvestment Fund, built from the data the CDFI used to make its own loans.
Founder Maggie McCullough and early staff like Phil Vu set out to make public data usable by non-specialists.
PolicyMap becomes a wholly owned subsidiary, stepping out from under the Reinvestment Fund's roof.
Restructures from an LLC into PolicyMap, Inc., with the Reinvestment Fund as majority shareholder.
Closes a $3 million round on December 19 - led by the Reinvestment Fund, with Ben Franklin Technology Partners and Spring Point Partners - to expand data infrastructure and product.
Teams up with Moody's Analytics and the Urban Institute on the first comprehensive neighborhood-level U.S. housing shortage analysis.
PolicyMap's customers are the institutions whose decisions land on real neighborhoods. The mix tells you what the product is for: not vanity dashboards, but capital allocation, grant writing, community health assessments, and lending analysis.
Strip away the maps and PolicyMap is making an argument: that better decisions about housing, health, and money depend on who can see the data. When only well-funded teams can read the country, the country gets read in their favor.
PolicyMap's answer is to put the same 75,000 indicators in front of a small-town library and a national bank alike. That is a quietly radical thing for a piece of mapping software to do, and it is the reason a community-development lender built it in the first place.
The questions are only getting harder. Where is housing disappearing? Where do health disparities cluster? Where will climate risk reshape where people can afford to live? Those are all, underneath, the same kind of question PolicyMap was built to answer - and the Series A capital is pointed straight at more data infrastructure to answer them.
Back at that Midwest bank, the meeting hasn't ended. The analyst rotates the screen so the room can see it: the housing shortage, shaded across the county, sourced and dated and ready to defend. Nobody asks where the numbers came from. That is the point. The hard part already happened, quietly, in Philadelphia - so that on a Tuesday morning, a question that used to take a week takes about as long as it takes to ask it.