AI Startup Trajectory Raises $45 Million to Automate Model Post-Training

Trajectory, an AI startup founded by former Google DeepMind and Apple researchers, has secured $45 million in a Series A funding round. The company is valued at $300 million following investment from Sequoia, Nvidia, Bessemer Venture Partners, and Bain Capital Ventures. Trajectory aims to democratize AI model training through 'continual learning,' allowing non-technical specialists like lawyers and doctors to improve AI performance without needing specialized engineers. The platform enables businesses to connect open-source models to their applications, using real-world feedback to automate the retraining process. Early adopters include legal and financial AI firms such as Harvey and Rogo, as well as companies like Decagon and Mercor. By focusing on human-in-the-loop training, Trajectory seeks to provide a safer alternative to fully autonomous recursive self-improvement while making specialized AI deployment faster and more cost-effective.

By Marina Temkin · TechCrunch ·

AI Startup Trajectory Raises $45 Million to Automate Model Post-Training

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Topics: AI startup funding Artificial Intelligence Continual Learning Series A

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