Peraton vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Peraton

LeaderGovernment, Defense & Nonprofit

Government IT & National Security

National security-focused federal IT firm with $8B+ revenue and 17,000+ employees. Serves DoD, intelligence community, and NASA on space, cyber, and mission-critical programs.

About

Peraton is a national security and critical infrastructure technology company founded in 2017 through Veritas Capital's acquisition of Harris IT Services, headquartered in Herndon, Virginia. The company operates at the classified intersection of space, intelligence, cyber, defense, and civilian IT missions, generating over $8 billion in annual revenue with a workforce exceeding 17,000 cleared professionals.\n\nPeraton's portfolio covers space systems engineering, satellite communications, intelligence analysis, cybersecurity operations, digital transformation for federal agencies, and mission application development. The company has built deep experience supporting agencies such as NASA, NGA, NSA, DISA, and the military services. Its "enterprise IT at scale" strategy emphasizes complex, multi-year programs in the $500 million to $2 billion range—an area where its cleared workforce and program execution track record provide competitive advantages.\n\nFormed through the merger of Perspecta (a combination of DXC's government IT business, Vencore, and KeyW) and Northrop Grumman's IT and mission services division, Peraton rapidly became one of the largest pure-play national security IT contractors. Veritas Capital has positioned Peraton as a strategic consolidator in government IT, adding capabilities in autonomy, AI, and next-generation communications since 2021.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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