Faculty

McIntire’s Brendan Richardson Puts Satellite Imagery to Good Use

Richardson believes that, among many other benefits, his company has the potential to help mitigate or slow the rate of global warming.

The company co-founded by Brendan Richardson, with seed funding from the University’s Licensing & Ventures Group, makes satellite images more useful to researchers. (Photo illustration by Emily Faith Morgan, University Communications)

The company co-founded by Brendan Richardson, with seed funding from the University’s Licensing & Ventures Group, makes satellite images more useful to researchers. (Photo illustration by Emily Faith Morgan, University Communications)

When Russia began invading Ukraine in February, Commerce School Professor Brendan Richardson (McIntire ’98) and his team acted quickly. In less than a week, the Co-Founder of Astraea—a geospatial analytics startup company based in Charlottesville—spearheaded an effort to provide a free satellite imagery platform that could be used by the Ukraine Ministry of Defense, as well as civilians and a host of humanitarian organizations working in the country.

This platform was no ordinary one.

Built with Astraea’s patented EarthAI technology, which uses machine learning, big data computing, and Earth-observing satellites to collect massive amounts of satellite data that even the likes of Google Earth have yet to reel in, it enabled Ukrainians under attack to view high-resolution images that were taken as recently as just the day before.

There is no telling how many lives the cloud-based platform—called the “Ukraine Observer”—saved, and continues to save, as the war continues.

“It was incredibly personal for us to find a way to help the country at large,” said Richardson, a longtime entrepreneur who teaches Entrepreneurial Finance & Venture Capital Investing and the Entrepreneurship Capstone courses at McIntire, “but also people we work with and talk to every day and care deeply about, since we have a significant number of our engineering staff who are in Ukraine or are Ukrainian.”

It wasn’t the first time that Astraea used its incredible tech for good.

Among many endeavors, Astraea has helped a global conservation nonprofit company go back more than 10 years and millions of square miles to measure environmental impact; assisted a carbon-credit startup company by monitoring timber acreage; and helped the U.S. solar industry determine its growth rate and scale capacity.

“Because satellite imagery covers such large geographic scale and repeats that coverage every few days or even every day in some cases, you can do things—monitor, search, measure, track—at a scale that would be impossible or cost prohibitive from the ground,” Richardson explained.

Brendan Richardson co-founded Astraea in 2016. (Contributed photo)

Brendan Richardson co-founded Astraea in 2016. (Contributed photo)

Similar to Google Earth, Astraea’s platform allows users to see images of any location on the planet. But what makes Astraea more powerful than competitors, according to Richardson and Co-Founder Daniel Bailey, is its ability to show all of the imagery captured over a given area—as recently as yesterday and in some cases, retrieving imagery from as far back as 15 years. And more importantly, all of that imagery data can be analyzed with machine learning and computer vision techniques.

This is what has tech insiders, business leaders, and environmentalists alike so excited, as evidenced by Astraea winning funding in the 2022 Galant Challenge, the annual “Shark Tank”-type pitch competition hosted by McIntire’s Galant Center for Innovation and Entrepreneurship. Further still, the startup was oversubscribed in its most recent investment round.

In participation from Tydall Investment Partners and existing investor UVA Licensing & Ventures Group Seed Fund portfolio company, Astraea also represents the first investment in a Public Benefit Corporation (PBC) by UVA affinity not-for-profit club CAV Angels. The group of private investors, entrepreneurs, and executives made up of UVA alumni, faculty, parents, students, and friends who aim to elevate the University’s venture ecosystem, CAV Angels acted as a prominent investor in Astraea’s $6.5 million Series A funding round led by Aligned Climate Capital and Carbon Drawdown Collective.

Richardson notes that despite the newness of the relationship, CAV Angels has been a fitting and supportive investor.

“A lot of Astraea’s DNA is intertwined with UVA and the local tech community, so when we started discussing an investment from a CAV Angels syndicate, it just made a lot of sense. It’s an incredibly efficient way for us to connect with the breadth and depth of the UVA investment and angel community,” Richardson says.

We recently caught up with Pittsburgh native Richardson—who has been involved in early-stage endeavors as a venture capitalist, angel investor, board member, and entrepreneur for more than 25 years—to learn more about Astraea, as well as his passion for teaching.

What makes Astraea so unique and differentiates it from competitors?

Most of our competitors started out before we did and were fortunate to find early customers with what seemed like compelling use cases. Many of these customers were big agricultural companies, oil and gas majors, and government agencies—organizations with substantial resources and identified needs. Our competitors built very impressive but often expensive single applications from end to end to solve one question or address one use case. These applications were very useful, but often highly custom solutions. Hence, it was often impossible to scale them easily—either to other customers or to different end uses.

We were more fortunate. Early on, we did not or could not find an early customer or even a use case that seemed big enough or lucrative enough to focus the entire company on. At the time, it was very frustrating. But it turned out to be a significant advantage. We went in a different direction, which is we built an “application” platform—with all of the tools, algorithms, and programming interfaces that a customer would need to build their own applications. Without getting too technical, this approach inspired us to build in a lot of flexibility and scalability into this platform, since we didn’t exactly know what customers wanted to build. We ended up building in pretty much anything and everything they might possibly need, and we architected the platform to be enormously scalable in the sense that it could handle any type of data and nearly any amount of data—insane amounts of data, you might say. It turns out that this is an enormous advantage now because we—or our customers—can build incredibly powerful applications very, very quickly and at a fraction of the cost that would be required to build it from scratch.

This allows us to build solutions for really interesting but narrow use cases or for small organizations and nonprofits doing important work against climate change that might never be able to afford satellite imagery or analytics previously. Of course, we work with those big customers too—large multinationals, global nonprofits, and Fortune 500 companies are all represented in our customer base.

What types of information can someone who is not technically savvy glean from using the platform? 

Well, that’s a really important and interesting question. It’s not as simple as Google Earth, but it’s a lot more powerful. For instance, by using just free satellite imagery and signing up with just an email at no cost to the user, one can draw a box around any spot on Earth and instantly see all of the publicly available satellite imagery from as recently as yesterday and stretching back in time up to 15 years in some cases.

If you’re a data scientist or a survey expert, there is a ton more you can do with this data on our platform, but even the casual user can see and compare satellite imagery of anything they have an interest in. A friend of mine who is a big fisherman uses our EarthonDemand interface to look at lakes in his region, Colorado, to see when or if they’ve frozen over in the late fall/early winter, and then when they thaw again in the spring.

I know of one person who casually uses it to monitor when ships are in port in Charleston, SC. Because satellite imagery is constantly being collected, you can get the most recent image through our platform. Most of the images you see on Google Earth are somewhere between three months and three years old. That’s not super useful if you’re trying to monitor lake ice [laugh].

What are some examples of really big problems facing the world that you think Astraea has the potential to solve in the future?

I don’t know exactly how this all plays out, but I think the big challenge of this generation is climate change and all its known and still unknown effects. Satellite imagery is a running data feed of the changes that are happening at global scale. We’ve only just begun to really interrogate that data persistently, but my hope is that embedded in that exponentially growing data set are key insights and answers about how to mitigate or slow the rate of warming and how to mitigate or deal with the consequences that are already inevitable.

I also know that this data can be used to protect invaluable natural resources from illegal activity—harvesting, mining, and poaching. If you think about it, with more than 1,000 satellites constantly in orbit and imaging every spot on the ground every day, it will be increasingly difficult to hide illegal activity anywhere. There are no borders when it comes to satellite imagery. The remotest places in the world are accessible to view at the touch of a button. That’s bad news for bad actors.

How can Astraea help companies make more informed business decisions?

We can provide insight that is simply impossible in scale or cost to achieve otherwise. A great example is an application we developed recently to enable a state-level government agency to monitor more than 140 ongoing construction projects simultaneously from a desktop—with update satellite imagery refreshing every day and the ability to order high-resolution imagery over any of the projects to be taken in the next 24-48 hours. The previous method was to send one of a group of four site inspectors to these projects for an on-the-ground inspection. That’s still done, but now those individuals can be deployed to the sites that require it based on the persistent view they’re getting from satellites. This will likely save them hundreds of thousands of dollars per year in inspection costs.

Another example is an application we’ve developed for an industrial real estate investor. We provide a satellite-based view of a metropolitan area, overlayed with real estate parcel and building information. The investor can sort through millions of land and building parcels to find the top dozen or so that meet their criteria—from their desk—and then focus the acquisition teams on those. This saves months of on-the-ground work for these teams.

I’ll go back to the Google Earth analogy. Our platform is a bit like having a Google Earth, but one that you can ask any question of and it returns the answers: “Show me all of my active projects in these 10 states on a map and then let me know when each of them reaches 50% completion.” Or, “Show me all of the new solar farms that have broken ground in the last 12 months in Virginia.” Or, “Sort all of the commercial and industrial building rooftops greater than 10,000 square feet in Richmond, which also have black membrane roofs suitable for solar installation.” There are quite literally thousands or even more of potential use cases. It’s not quite as simple of a voice query to Siri or Alexa, but for a data scientist familiar with raster and imagery data, it’s about as easy.

What are the biggest challenges Astraea faces as it continues to grow?

Well, this is still an emerging sector that is not widely understood or known about. At times, it’s been a struggle to attract investors who are not paying attention to the future of Earth observation. But that’s improved dramatically in the last three years as COVID forced everyone to think differently and work remotely. All of a sudden, the potential for satellite imagery and geospatial intelligence was front and center. Now, I think our challenge is more in communicating these powerful solutions to potential customers in their language and not our “technology” language. Customers don’t care much or at all about the underlying technology. They care about whether it solves a need for them better than any other available solution. We know that it does—and we need to craft our communications and marketing in that way.

What courses do you teach, and what is it about teaching that you enjoy so much? Why do you still do it?  

I’ve taught a few different courses over the years, but the one that’s been consistent has been Entrepreneurial Finance & Venture Capital Investing. I spent about 15 years in Silicon Valley investing in startups as a venture capitalist. I started at the bottom of the ladder as an Analyst in a firm and eventually learned the business, changed firms, and became a Partner in a trans-Atlantic fund. I spent about eight years traveling between San Francisco and Europe investing in compelling early-stage startups in the U.K., France, Finland, Sweden, Ireland, Switzerland. I learned the venture business from the ground up and in particular about the unique startup culture that exists in the U.S. I try to take the students in the course through the same journey in 14 weeks.

I really enjoy taking complex and nuanced subjects and trying to find the most compelling, efficient way to convey them to people who are interested in them. To me, that’s teaching in a nutshell. This past semester was my 13th year, and I love it on so many levels. I get to walk down the Lawn a couple of times a week—that never gets old. I get to interact with incredibly bright and motivated students who are really interested in venture capital, startups, and entrepreneurial endeavors. Their enthusiasm keeps me motivated to stay on the cutting edge of all of this.

Personally, I’m deeply fascinated by the entrepreneurial process and how and why it gets funded—despite the fact that the majority of startups actually fail and the vast majority of venture capital funds underperform. The venture-backed successes we all read about in the media—Snap, Facebook, Apple, Twitter, Tesla—are built on top of a mountain of failures in Silicon Valley and elsewhere that most people never hear about. And yet, it’s those failures that propel a few on to incredible success. There are a lot of layers to this, of course, but I’m convinced that this is an important metaphor for a well-lived life. Your ultimate success in life, however you want to measure it, is a direct result of your inevitable failures, stumbles, miscues, heartaches and losses, and, more importantly, how you respond to them. A long-winded answer, but that’s what keeps me motivated to teach.

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