SAIC vs Adept AI

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

SAIC

LeaderGovernment, Defense & Nonprofit

Government IT & Defense Systems Integration

NYSE-listed federal IT integrator delivering cloud, cybersecurity, and AI solutions exclusively to DoD and civilian agencies. ~$7.3B annual revenue and ~$23.8B contract backlog.

About

Science Applications International Corporation (SAIC) is a Fortune 500 defense and government IT company headquartered in Reston, Virginia, founded in 1969. SAIC provides technology integration, cybersecurity, software development, cloud adoption, and digital modernization services exclusively to U.S. federal government clients including the Department of Defense, military branches, intelligence community, and civilian agencies.\n\nIn fiscal year 2025, SAIC reported revenues of approximately $7.26 billion with a contract backlog of $23.8 billion. The company has more than 24,000 employees and holds a portfolio of large-scale prime contracts spanning enterprise IT, command-and-control systems, intelligence analysis, logistics technology, and mission engineering. SAIC emphasizes a customer-first delivery model combining proprietary platforms with off-the-shelf commercial technology to accelerate modernization timelines.\n\nSAIC has been expanding its AI, machine learning, and autonomous systems capabilities to align with DoD priorities around AI-enabled warfare and digital engineering. Its digital transformation portfolio supports customers transitioning legacy infrastructure to multi-cloud environments compliant with FedRAMP, IL4, and IL5 security standards. The company is traded on the NYSE under the ticker SAIC.

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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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