Enterprises are training their own AI models from production workflows — without a machine learning team

Empromptu AI launched Alchemy Models, which converts validated outputs from live enterprise workflows into continuous training data.

The system fine-tunes small, task-specific models over time and lets customers own the resulting weights.

The product is positioned as an alternative to separate fine-tuning pipelines and RAG, aiming to reduce reliance on external model providers.

It could help enterprises build governed, domain-specific AI systems from real usage while lowering inference costs.