← Latest news 
Empromptu launches Alchemy letting enterprises fine tune custom AI from live workflows without ML teams
Technology
Published on 14 May 2026

Expert corrections are automatically recycled into model training
Empromptu AI says most enterprises waste the most valuable training signal: the corrections experts make to outputs from AI apps already in production. Its new Alchemy Models captures validated responses, routes them into a continuous fine-tuning pipeline, and produces small task-specific “Expert Nano Models.” Customers own the resulting weights, but the approach is tied to Empromptu’s platform.
- Alchemy turns validated subject-matter expert feedback into continuous fine tuning
- It differs from RAG by updating model weights rather than just adding context at inference
- Early customer Ascent Autism cut documentation time from 1–2 hours to 10–15 minutes
- Weights are portable and exportable for a fee, while early training depends on data volume
Read the full story at Venture Beat
This summarization was done by Beige for a story published on
Venture Beat
