Company comparison
Adept vs Augment Code
Radar profile, momentum bars, and stack placement side by side.
Adept
Not scored
momentum
Augment Code
Not scored
momentum
Adept capital
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Augment Code capital
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No radar series.
Momentum head-to-head
Attribute tape
| Field | Adept | Augment Code |
|---|---|---|
| Category | Developer and agent infrastructure | Developer and agent infrastructure |
| Stack | Layer 6 | Layer 6 |
| HQ | San Francisco, CA, United States | Palo Alto, CA, United States |
| Founded | 2022 | 2022 |
| Status | Acquired | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Adept was an ML research and product lab building AI agents that could operate software on a user's behalf by interpreting natural-language instructions and executing multi-step workflows across apps and interfaces. Following a June 2024 talent-and-licensing arrangement with Amazon, its founders and most staff joined Amazon's AGI team, with remaining employees and technology assets winding down or retained under the Adept shell. | Augment Code is an AI-native coding platform for enterprise software engineering teams that combines agentic task execution, deep codebase intelligence, and automations. Its proprietary Context Engine semantically indexes entire codebases, documentation, and dependencies to deliver context-aware assistance across large, complex repositories. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Adept was an ML research and product lab building AI agents that could operate software on a user's behalf by interpreting natural-language instructions and executing multi-step workflows across apps and interfaces. Following a June 2024 talent-and-licensing arrangement with Amazon, its founders and most staff joined Amazon's AGI team, with remaining employees and technology assets winding down or retained under the Adept shell. | Augment Code is an AI-native coding platform for enterprise software engineering teams that combines agentic task execution, deep codebase intelligence, and automations. Its proprietary Context Engine semantically indexes entire codebases, documentation, and dependencies to deliver context-aware assistance across large, complex repositories. |
