Leidos and The Modern Data Company partner

Federal agencies are under pressure to deliver faster insights, stronger governance, and capabilities to support AI and analytics, but critical data often remains trapped across disconnected systems. Leidos and The Modern Data Company are partnering to help agencies connect, organize and apply that data without major system overhauls, Leidos announced June 25.

The collaboration brings DataOS, Modern Data’s AI-native data operating system, into Leidos’ HeadWay Mission OS — a modular AI platform built to enable agencies to unify data, generate insights and automate complex missions. Rather than replacing existing platforms, DataOS adds a secure layer that links data between cloud and on-premise systems, giving customers a consistent way to access and use it.

Leidos uses the integrated solution to help agencies turn fragmented data from disconnected environments into secure, reusable data products that teams can quickly put to work for AI and analysis. Built on open standards, the approach helps agencies create a more unified view of data while shortening implementation timelines. It also applies consistent rules, tracking and controls so data stays secure, compliant and reliable.

“Our customers need results now,” said Rob Linger, vice president, information advantage practice at Leidos. “This partnership gives agencies a practical path to becoming AI-ready without waiting years for migration projects to be completed. We’re helping them unlock data that’s been difficult to access and use while protecting the systems that already work.”

Leidos will embed DataOS at the core of HeadWay Mission OS to power repeatable mission solutions and shorten development cycles.

“Government agencies and enterprises don’t need to replace their infrastructure to apply AI at scale,” said Saurabh Gupta, president and CEO of The Modern Data Company. “This partnership with Leidos brings DataOS into mission-critical environments where it can activate data across legacy systems, accelerating AI deployment while reducing risk and cost.”

Source: Leidos

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