Startup profile: Interos.ai
- Founded by: Jennifer Bisceglie
- Year founded: 2005
- Headquarters: Arlington, VA
- Sector: Supply chain management
- Funding and valuation: $309,367,579 million raised to date, valuation undisclosed
- Key ecosystem partners: Department of Defense, Freddie Mac
Managing supply chains is a complex process, and a Northern Virginia company with an AI tool to help streamline it just landed $20 million in new investment.
Tech unicorn Interos.ai, founded in 2005 and headquartered in Arlington, tracks products ranging from software for commercial financial systems and uniforms for the US Navy.
The new funds, from existing investors Blue Owl Capital and Structural Capital, will let it lean more into AI, according to CEO Ted Krantz.
Interos.ai will now collect data directly from customers and develop models that can provide suggestions on how to mitigate risk.
The technology, which compiles data from public and private sources to flag potential hazards, focuses on six core risks related to supply chains. That includes cyber, financial and geopolitical considerations, Krantz said — like extreme weather, data leaks and unrest in places like Russia and China.
Interos.ai will now collect data directly from customers and develop models that can provide suggestions on how to mitigate risk. Currently, the company just maps and compiles the data.
“It’s not a full new product,” Krantz told Technical.ly, “but it will provide substantially more value to draw upon that action ability, versus teams having to assess their data sets, to really determine now what to go do.”
Interos.ai is in the early stages of gathering data from its 100 public and private customers — including enterprises like Freddie Mac and government agencies like the Department of War — which will feed into product development.
The goal is that these predictive AI models will get smarter and more precise in recommendations as more is inputted and used, creating a more helpful tool.
“Some of the world’s best Fortune 1000 customers, as well as big federal programs,” Krantz said, “are leaning on our product to provide insights that match up with their data to basically use as decision support.”
Pivoting, and breaking even, over the 20 years
Since its founding, Interos.ai has raised about $310 million, including $40 million from Blue Owl Capital and Structural Capital in 2025.
Outside of boosting the product, part of the reason for pooling this new investment is an effort to break even by the end of 2026, per Krantz. That’s been one of his main goals since he joined the company in 2024, where he’s also shifted Interos.ai’s business model to focus on its software tools rather than its original professional services angle, he said.
“It’s a big milestone for us,” Krantz said.
Interos.ai will have some “modest” hiring this year, but he declined to share a specific number. The company currently has 150 staff members, including contractors, per Krantz.
Several software companies specialize in supply chain management, including nearby Exiger in McLean. But according to Krantz, Exiger does not cover as many risk potentials as Interos.ai, and the new predictive AI feature will set the firm apart even more.
“Anything in the supply chain is fair game,” Krantz said. “That’s what makes the product so powerful, is that it’s extremely comprehensive in … how we bump up against their supply chain data with these risk factors.”
