A Calculated Decision: How Pittsburgh Forged Lovelace AI's Advantage
By Carlos J. Queirós
From a modest office in Pittsburgh’s Bakery Square neighborhood, Andrew Moore leads a company whose software will decide—within seconds—where a rescue helicopter flies or which cargo vessel requires an inspection for smuggled materials. The former Google Pittsburgh site lead and Carnegie Mellon dean has spent three decades translating academic breakthroughs into operational systems. His latest venture, Lovelace AI, turns floods of satellite imagery, sensor readings, and text reports into usable answers for military commanders, investors, risk managers, and other high-stakes users.
Andrew Moore. Lovelace AI’s Co-founder and CEO
Moore’s standing among technologists rests on decades of foundational work that influenced a generation of computer scientists.
“If you're a PhD in computer science over the past three decades, you were either taught by Andrew Moore or you read his work,” as one colleague puts it.
“After every tragedy you hear, ‘if only someone had connected the dots’,” Moore says. “Today there are trillions of dots. Humans alone can’t keep up.”
Moore's answer is analytic technology that makes sense of overwhelming data before it's too late. It has to work because lives depend on it, and that requirement is why he built Lovelace in Pittsburgh rather than Silicon Valley.
In that sense Moore resembles the city he works in: more concerned with getting things right than getting attention.
Pittsburgh: The World’s Serious AI City
"I don't want Pittsburgh to be known as the world's AI city. I want it to be known as the world's serious AI city."
For a company whose technology is used when lives hang in the balance, the distinction is practical, not rhetorical.
"I'm going to tell you about something that really frustrates me: those YouTube videos showing a robot successfully doing something cool. What we're actually seeing is the best take out of a hundred attempts. The robot screwed up on the other 99 occasions, but we never see those failures."
For Lovelace AI's defense applications, demonstration bias of that kind is dangerous.
"The places where we can put automation in responsibly are only ones where our AIs do the right thing. Not 90% of the time, not 99% of the time, but 99.99% of the time," he says.
Moore's path here began with a childhood dream. Growing up in England, he was captivated by artificial intelligence and assumed Silicon Valley was where it lived. Then he came to America to work at MIT and learned what was actually happening at Carnegie Mellon:
“My dream quickly became, is there any chance I could become a faculty member at Carnegie Mellon? And that's what I was obsessed about. Computer science as a discipline is artistic and it's creative. You're playing with mathematics and abstractions," Moore explains. "And when you start to read what's possible behind all of that, all arrows keep pointing back to Oakland and Carnegie Mellon. It really is the place, if you truly love the beauty of computer science.”
That reputation is why Google established its first engineering office outside the Valley, with Moore hired to run it. In 2014 Moore left Google to return to CMU as Dean of Computer Science, returned to Google in 2018 to lead their Cloud AI team, and in January 2023 founded Lovelace AI. Each of these positions was based in Pittsburgh.
"I'm really proud of our careful understatement in Pittsburgh, where the research groups at Pitt, CMU and around the city are very careful about asking, ‘Is this realistic, ready for prime time?’ as opposed to ‘Is this going to be a demo which wows our investors?’ "
Pittsburgh’s Cafe Culture Advantage
Moore's confidence in Pittsburgh comes down to how many world-class specialists work within walking distance of each other.
The advantage becomes concrete when Lovelace AI tackles problems like real-time data fusion, combining satellite imagery, drone footage, intelligence reports, and structured databases into actionable intelligence. Rather than hiring across disciplines or consulting remote experts, Moore can draw on the city's concentrated expertise.
"I have so many friends around who I can just call,” he says. "I know a lot about AI, but all the things that I'm slightly fuzzy on, I know the world expert, and I can walk to them in 15 minutes."
Within that short walk sits Carnegie Mellon's School of Computer Science, the U.S. Army's AI Integration Center, and more than 20 AI startups like Duolingo, Hellbender, and Strategy Robot. The result is a cafe culture where a computer-vision PhD, a distributed-systems veteran, and a former Navy cryptologist can argue over model latency at lunch and prototype the fix that afternoon.
The Full AI Stack
Unlike regions that focus on software alone, Pittsburgh has the full infrastructure serious AI deployment requires. Moore's point is that useful AI depends on layers of specialists, most of whom are not AI engineers.
"Sometimes people do come to me and say, what does an AI engineer do?” Moore says, gesturing across his office of Lovelace employees. “They live on the shoulders of experts who get the underlying operating systems and distributed computing fast enough, who live on the shoulders of experts who get the chips and hardware working, who live on the shoulders of folks who provide the power and cooling for the compute. It wouldn't make sense to talk about an AI ecosystem with only one part of that stack. Above us are the people on the front lines keeping people safe. They need us.”
"None of us could be building here if we just relied on our own discipline,” says Moore. “We need the fact that Pittsburgh is one of the greatest engineering towns in history."
That stack extends below the software: natural gas powering current data centers, robotics, and advanced nuclear development aimed at next-generation facilities.
Sustaining the Advantage
Pittsburgh's economics make that full stack sustainable. Office space costs substantially less than Silicon Valley, and tech salaries run below West Coast levels. For Moore, what matters is what the savings buy.
"One of the things I think you see among people generally living and working in the Pittsburgh area is we take really interesting, fascinating things, but we get serious about them quite quickly," Moore observes.
Lower costs let a company spend years on reliability and mathematical precision before anything has to be demoed. That work needs a specific kind of graduate, and Carnegie Mellon produces them steadily: deep mathematical foundations, practical engineering experience. Moore's own team shows the pathways that bring and keep such people in the city: engineering graduates from CMU, machine learning engineers from Amazon and Google, and national security veterans.
Geography and Culture
Geography matters in defense contracting.
Pittsburgh sits within 400 miles of major East Coast defense contractors and government agencies, close enough for the relationship building that defense procurement runs on. For a company like Lovelace AI, that proximity to Washington and New York does work that Silicon Valley's density of capital cannot.
Culture points the same way as geography here. A defense customer needs mission accomplishment more than market valuation, and that ordering comes naturally to a city with Pittsburgh's industrial history.
"Here in Pittsburgh we've really been looking at the fact that there are great opportunities, but there are also great opportunities for evil people," he explains. "We have to be ready to defeat them."
"I love the fact that here we have a community of people who are thinking about these bigger questions rather than just maybe looking for a quick buck from the latest consumer product," Moore adds.
The money has followed. PitchBook records a $17.4 million seed round for Lovelace led by RRE Ventures, part of the $689 million the PitchBook-NVCA Venture Monitor counted flowing into Pittsburgh's tech ecosystem in Q1 2025. CMU holds $4.2 billion in major defense contracts. In defense AI, investors check the ecosystem around a company before they fund it, and Pittsburgh's now passes that check.
"And so the history of investment in Pittsburgh is actually greatly improving," says Moore. "And I think part of the reason is it's the place for serious AI, not just cool demos."
Physical infrastructure is arriving too. Parallax Advanced Research is developing a secure facility at Bakery Square designed to support classified government work, the kind of physical plant local companies need to compete for sensitive defense contracts.
In October 2024, NVIDIA named Pittsburgh its first "AI Tech Community," giving companies like Lovelace AI access to NVIDIA's latest frameworks, its Inception startup accelerator, and Joint Technology Centers.
A Longer Lineage
Moore traces the city's position back to the 1950s and 1960s, when Alan Newell and Herbert Simon, both professors at CMU, treated artificial intelligence as practical technology rather than academic curiosity.
"Ten years ago, I was very worried that people didn't know about Pittsburgh,” Moore says. “Now I can walk into a room and it's a badge of honor to say I'm from here because we do have all of these wins under our belts that prove Pittsburgh delivers."
“Pittsburgh is the place which I trust to be sober-minded and incredibly creative when it comes to using artificial intelligence to make the world safer."
Even from a hypothetical perch in Washington or New York, he says, "I'd come to Pittsburgh if I wanted something which exceeded my expectations and actually worked reliably."
The city that once powered America's industrial transformation is now engineering its technological defense. When the stakes are highest, when algorithms decide who gets rescued first, which threats matter most, how resources get deployed, reliability isn't a feature.
It's everything.
