Trajectory Labs raises $60M and launches a model fine-tuning platform
Overview
Trajectory Labs has launched a developer platform for post-training models, according to a repost by developer Santiago (@svpino) of the company's announcement.
Users supply tasks, data and evaluation criteria, and the platform handles post-training, evaluation and deployment. The company also released two research previews, Continual grading and GS1.
The company says it raised $60M in a round led by Sequoia at a $300M valuation. TechCrunch reports a different figure, describing a $45M Series A at the same $300M valuation, and says the platform lets nontechnical experts such as lawyers and doctors give feedback used to retrain open-source models. Harvey and Rogo are named as customers.
Written by AI from the articles below · updated Nov 2, 6:33 PM ET
Check the sources:
Developments
2 developments
- Nov 2, 6:13 PM ET · 1 articleTrajectory raises $45M Series A at $300M valuation for AI post-training platformTechCrunch · AI: Trajectory raises $45M to automate continual learning for specialized AI models
- Nov 2, 4:24 PM ET · 1 articleSantiago describes Trajectory Labs' fine-tuning developer platform for post-training, evaluation, and deploymentSantiago: Trajectory Labs launches a fine-tuning platform after raising $60M at a $300M valuation
Article timeline
The articles in this story. Times are ET.
- TechCrunch · AINewsTrajectory raises $45M to automate continual learning for specialized AI models
AITrajectory raised a $45 million Series A at a $300 million valuation, led by Sequoia, to help businesses improve AI models on specialized tasks. Its platform lets nontechnical experts such as lawyers and doctors give feedback that is used to retrain open-source models, and Harvey and Rogo are already customers.
Santiago@svpinoXTrajectory Labs launches a fine-tuning platform after raising $60M at a $300M valuationAITrajectory Labs has launched a developer platform for post-training models, according to Santiago's repost of the company's announcement. Users supply tasks, data, and evaluation criteria, and the platform handles post-training, evaluation, and deployment. The company also released two research previews, Continual grading and GS1, and said it raised $60M in a round led by Sequoia at a $300M valuation.
Heat Trend
- Current comparable heat
- 19
- Peak comparable heat
- 19Nov 2, 7:00 PM ET
- Change in past 24 hours
- –
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.