Finally, an easy way tofine-tune models you own.
Alchemy turns the data your Empromptu apps capture into custom-trained models you own — fine-tuned for your tasks, deployed wherever you want, and continuously improved every time they run.
Real outcomes
40–80%
Inference cost reduction. Custom fine-tuned models replace API spend across high-volume tasks — internal benchmarks across early customers.
25–30%
Accuracy gain. Task-specific fine-tunes outperform generic frontier models on customers’ real workloads, with continuous improvement compounding from there.
30%
Ascent Health, first run. Ascent Health increased accuracy on their learning application by 30% on the first training run — no MLE team, no manual labeling.
Why hire contractors to collect data from contrived workflows?Capture data from your actual workflows.
Your data, your moat
Every interaction your Empromptu apps handle becomes proprietary training data. The more your AI runs, the stronger your moat grows.
Custom models you own
Fine-tune on your data against the base model that fits your task. The trained weights are yours — portable, exportable, never locked in.
Deploy wherever you want
Hosted on Empromptu’s vertically-integrated stack by default. Move it to your own cloud, on-prem, or any provider that runs the base architecture.
Continuous optimization
Once your custom model is in production, the orchestrator keeps capturing edge cases and improving accuracy with each cycle. Your model gets sharper the more it runs.
Built for your vertical
Custom models, tuned toyour industry's reality.
Healthcare
Clinical-grade models trained on de-identified records you already control.
HIPAA-compliant by design. BAA available. Deploy inside your hospital's own cloud or on-prem.
- Intake triage tuned to your specialty, acuity profile, and patient mix
- Claims review models that learn your payor mix and denial patterns
- Documentation assistants trained on your clinicians' actual notes
Production-ready
Governance, audit, deployment —built in, not bolted on.
Empromptu was designed for regulated environments. Train, deploy, and monitor custom models inside your own controls — never compromise on compliance to ship AI.
Governance policies
Codify data-handling and model-behavior rules at the platform layer. Every request validated against your policy set.
Audit logs
Every prompt, model call, and training event is captured with full lineage — replayable for compliance review.
Environment controls
Run training and inference in your cloud (AWS / GCP / Azure) or on-prem. Your data never leaves your boundary.
Evaluation pipelines
Automated evals score every model version against your task-specific criteria before promotion to production.
Drift monitoring
Continuous monitoring flags accuracy regressions and distribution shifts in real-world usage, before they reach users.
Rollback paths
Promote and revert custom models with one click. Every prior version stays deployable; no orphaned training runs.
Right now, most companies are renting intelligence — sending their proprietary data into someone else's model and hoping the economics and policies stay favorable. Alchemy gives them another option: build and own the intelligence behind their products.
Shanea Leven
CEO, Empromptu