Trajectory raises $45M for AI model training platform

The one-year-old Stanford-founded firm, now valued at $300 million, is opening post-training tools so specialists can improve AI models without research teams.

Trajectory raised $45 million in a Series A round at a $300 million valuation.

Sequoia led the round; Nvidia, Bessemer Venture Partners and Bain Capital Ventures also took part.

The 18-person startup’s AI model training platform helps open-source models improve from real feedback.

Customers already include Harvey, Rogo, Decagon, Mercor and Nvidia; the platform is now publicly available.

Co-founders Ronak Malde, Michael Elabd and Arjun Karanam previously worked at DeepMind and Apple.

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