Market & RegulationInvestment · $45M
Trajectory raises $45M for automated AI continual learning
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Why it matters
- →Automates post-training for non-technical users, reducing reliance on specialized AI engineering teams.
- →Enables continual learning loops where domain experts directly influence model improvement via feedback.
- →Targets vertical-specific AI applications in regulated industries like law and finance with safer human-in-the-loop training.
Trajectory, a startup founded by former Google DeepMind and Apple researchers, has raised $45 million in a Series A round led by Sequoia Capital. The company provides a platform for automated continual learning, allowing businesses to fine-tune open-source AI models using feedback from non-technical domain experts. Investors include Nvidia, Bessemer Venture Partners, and Bain Capital Ventures, valuing the 18-person company at $300 million. Trajectory aims to replace expensive forward-deployed engineers with an interface that enables specialists in fields like law and finance to continuously improve model performance.
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How we got here
- 1Former DeepMind Researcher Raises $55M for Visual AI Startup
TechCrunch AI · July 16, 2026 · Background
- 2Nvidia's Circular Financing Fuels AI Lab Growth
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- 3Cognition Raises $2B in Series E Funding
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- 4DeepMind spinoff nears $4bn valuation
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- 5Crunchbase: Top 10 AI & Tech Funding Rounds
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- 6Flow Engineering raises $50M at $750M valuation for AI hardware design
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- 7ML-Intern: Autonomous AI Agent for Model Training
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- 8Ex-police chief's AI startup valued at $400m
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