AI Post-Training via User Edits… Trajectory Platform Launched
Original headline이용자 수정으로 AI 사후 학습…트라젝토리 플랫폼 공개
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Trajectory has launched a self-service platform that turns user edit and correction logs from live services into post-training data for AI models, moving beyond its previous close partnerships with a select group of collaborators to a model where qualified companies can sign up directly. The platform went live on the 2nd (US Eastern Time), according to Crypto Briefing, which reported the news at 6:27 a.m. Korea time on the 3rd. Companies connect their AI services to the platform via an SDK, feeding usage signals generated during product use into the model improvement process. The launch matters because it opens Trajectory's human-feedback-based post-training pipeline to a broader enterprise customer base, positioning the company in the growing market for AI model refinement using real-world usage data. Watch for early adopter announcements, enterprise onboarding terms, and whether the platform expands beyond edit-based signals to other usage data types.
Muhabbit's AI wrote this summary in its own words from TokenPost's report and translated it from Korean. It can get details wrong, so check the source.
Named in this story
Trajectory, Crypto Briefing