Trajectory raises $45M Series A at $300M valuation
Trajectory, a startup founded by three Stanford alumni with backgrounds at Google DeepMind and Apple, has announced a $45 million Series A funding round. The company values at $300 million and is led by Sequoia, with participation from Nvidia, Bessemer Venture Partners, and Bain Capital Ventures. The 18-person team aims to automate the post-training of AI models, allowing them to learn from…
Key points
- Trajectory raised $45 million in Series A funding at a $300 million valuation.
- The platform automates post-training, allowing AI models to learn from user feedback.
- Customers include Harvey, Rogo, Decagon, Mercor, and Nvidia for specialized model tuning.
The platform uses an approach called continual learning, where businesses connect open-source models to their applications to collect performance feedback. Trajectory then uses this data to retrain the models. Co-founder Ronak Malde described the goal as creating AI that acts like an experienced professional rather than a new graduate. Current customers include Harvey, Rogo, Decagon, Mercor, and Nvidia, who use the tool to enhance models for legal and financial analysis.
Trajectory distinguishes itself from recursive self-improvement by keeping humans in the loop to ensure safety. The startup competes with Thinking Machines Lab, Applied Compute, and Prime Intellect. It recently made its post-training platform publicly available, emphasizing a user-friendly interface designed for non-technical experts in fields like law and medicine.
Trajectory raises $45M to make AI model training accessible to nontechnical experts
TechCrunch AI · 2 November 2026
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