ASI Raises $325 Million at $3 Billion Valuation on FAA and Army Wins

ASI, the Boston-based artificial intelligence company formerly known as Air Space Intelligence, has raised $325 million in a Series C round at a $3 billion valuation, cementing its position at the intersection of AI, industrial software and national security.

Spark Capital led the financing, with participation from affiliates of Citadel Securities, Meritech Capital, Craft Ventures, Energy Impact Partners and Andreessen Horowitz, the company said. The round ranks among Massachusetts' largest venture financings of the year.

The raise follows two federal contract wins that anchor the company's revenue base. Bloomberg reported that ASI secured a 12-year, $875 million program of record from the U.S. Department of Transportation and the Federal Aviation Administration to help modernize the National Airspace System (NAS), beating out rival bidders including Palantir and Thales. Separately, the U.S. Army awarded ASI a five-year, $99 million contract tied to its Next Generation Command and Control program.

What does ASI actually build?

Unlike the generative AI startups that dominate venture headlines, ASI builds software for managing physical systems operating in real time. Its models run continuous simulations of complex operations, looking ahead hours, days and weeks to identify emerging problems before they become costly disruptions.

The company does not rely solely on large language models (AI systems trained to process and generate text). Instead, it combines probabilistic forecasting — statistical methods that estimate the likelihood of future outcomes — with deterministic systems, whose outputs follow fixed rules. The goal is to help operators anticipate congestion, sudden demand spikes and logistical bottlenecks across fleets, power grids and other infrastructure.

Founder and CEO Phillip Buckendorf, who previously worked at Uni Robotics, framed the company's positioning as a deliberate contrast with the broader technology industry's focus. The industry has poured vast sums into teaching machines to work with text, he said, while ASI concentrates on AI that can help run aircraft, vessels, power networks and other physical assets.

Why the valuation reached $3 billion

For venture backers, the appeal is operational control rather than insight alone. ASI sells software for sectors where even small delays or forecasting errors carry outsized consequences — a narrower and more consequential focus than consumer applications, in a market crowded with generative AI startups.

The FAA contract carries particular weight. A 12-year program of record (a funded, formally approved government commitment) gives ASI a long-duration revenue stream tied to the National Airspace System's modernization effort, and the competitive win over Palantir and Thales signals that the company's technology cleared a high procurement bar. The Army's $99 million Next Generation Command and Control award extends that defense foothold across a five-year term.

That combination — an FAA program of record, an Army command-and-control contract and a $3 billion private valuation — places ASI among the most highly valued private technology companies in the Boston region.

Where the capital goes

ASI plans to deploy the new funding across three fronts:

• expanding deployments in energy, logistics and defense;
• growing its research and engineering base in Boston;
• scaling the operational software that underpins its federal and commercial contracts.

What changes for airspace operators?

The financing and the FAA program together point to a shift in how airspace capacity problems get solved. If ASI's forecasting models deliver, airspace and fleet operators gain a tool that anticipates congestion and bottlenecks before they disrupt schedules — with the FAA itself now committed to the approach for the next 12 years.

The test ahead is execution: converting an $875 million federal mandate and fresh venture capital into software that demonstrably improves how the National Airspace System and its operators perform under real-world load.