Code & Chain · Signal Desk

Trajectory Raises $45M to Let Non-Technical Experts Participate in Post-Training

Original sourceTechCrunch

Summary

Trajectory closed a $45 million Series A led by Sequoia, with participation from Nvidia, Bessemer, and Bain Capital Ventures, at a valuation of about $300 million. The platform can connect to open-source or foundation models, collect real-world usage feedback, and automatically retrain, enabling do…

Key points

  • Enterprises wanting to improve models with domain expert feedback without building ML teams can understand the positioning and customer profile of such platforms from this.
  • Moving post-training from ML teams to domain experts could compress the adoption time for specialized AI applications.
  • Enterprises can use existing expert feedback loops to improve models and reduce reliance on external frontline engineers, but need to establish feedback quality and safety review processes.

Editorial note

This page is Code & Chain's editorial summary of public sources. It may be prepared with AI assistance and published through an automated workflow. Refer to the original sources; this content is not investment, legal, or tax advice.