Boston-based artificial intelligence startup ASI said on Tuesday it has raised 325 million dollars in a Series C funding round that values the company at 3 billion dollars, a sign of how strongly investors are backing AI built for the physical world rather than for chatbots. The round was led by Spark Capital, with participation from affiliates of Citadel Securities, Meritech Capital and Craft Ventures, among others, Reuters reported.
ASI, formerly known as Air Space Intelligence, develops simulation and monitoring software that helps operators forecast disruptions hours, days or weeks in advance across complex systems such as air traffic, power grids and military operations. Its systems combine continuous simulations with monitoring and optimization tools, pairing deterministic modeling, which tests outcomes under defined conditions, with probabilistic modeling, which accounts for uncertainty, so operators can weigh scenarios before a problem spreads through a real network.
Founder and chief executive Phillip Buckendorf framed the company as a deliberate contrast to the language-model race. "While the broader tech ecosystem spent hundreds of billions teaching AI to manipulate words and generate text, ASI is deeply focused on AI systems that can manage and control physical assets," he said. The company describes its technology in similar terms in its own announcement, calling its models world models that simulate physical operations ahead of time so the people running air traffic control, the electric grid and military operations can catch problems early.
The customer list explains the valuation. ASI says its systems already support the Department of Transportation, United Airlines, Delta Air Lines, the United States Army, the United States Air Force and National Grid. Two government contracts anchor the business: a five-year, 99 million dollar Army contract secured in October covering military command systems, and a much larger 12-year, 875 million dollar Federal Aviation Administration contract awarded in June to modernize air traffic management in the national airspace system.
The new capital is earmarked for expansion rather than experimentation. ASI said it will use the proceeds to expand deployments in energy, logistics and military environments, including tactical edge settings, and to add to its research and engineering teams in Boston. The company is headquartered there, with offices in Washington, Denver and Europe, giving it a footprint close to both its federal customers and the utilities and airlines it serves.
The raise also fits a broader shift in AI funding. After years in which the largest checks followed large language models and the data centers behind them, investors have been moving toward applied systems with paying customers, long contracts and measurable operational stakes. A delayed flight network, a strained power grid or a disrupted logistics chain carries costs that are easy to count, which makes software that claims to see those disruptions coming easier to justify than another general-purpose assistant.
That promise still has to hold up in operations where mistakes are not an option. Air traffic and grid operators work under strict safety and regulatory regimes, and simulation tools earn trust slowly, deployment by deployment. ASI now has the capital, the contracts and the customer roster to prove its forecasts at a larger scale, and a 3 billion dollar valuation that assumes it will.