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Trajectory raises $45 million to make AI model training accessible to non-experts
Trajectory raises $45 million in Series A to make AI model training accessible to non-experts
Key points
- The round was led by Sequoia, with participation from Nvidia, Bessemer Venture Partners and Bain Capital Ventures.
- Trajectory's platform retrains open-source AI models using feedback collected on how they perform in applications.
- Customers include Harvey, Rogo, Decagon, Mercor and Nvidia, and the company is now making its platform publicly available.
Why it matters. The approach could make deploying specialized AI faster and cheaper for businesses adapting models for fields such as law and finance.
Trajectory, an 18-person startup, has raised $45 million in a Series A round at a $300 million valuation, led by Sequoia, with participation from Nvidia, Bessemer Venture Partners and Bain Capital Ventures. Its platform lets businesses connect an open-source AI model to their applications, gathers feedback on its performance and retrains it, and Harvey and Rogo are already using it. Co-founder Ronak Malde told TechCrunch that lawyers and doctors can improve the models almost automatically themselves.
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Trajectory raises $45 million to make AI model training accessible to non-experts
Trajectory has raised $45 million and is now valued at $300 million, according to TechCrunch. The one-year-old startup is building tools to make AI model training accessible to nontechnical experts. Current AI models, including those from OpenAI and Anthropic as well as open-source alternatives, do not learn from their mistakes without further training. Businesses in fields such as law and finance typically adapt models through fine-tuning, which often requires internal research teams or costly consultants. Trajectory aims to lower that barrier.