Custom Training
Replace API costs with domain expertise.
Custom models trained on your governance frameworks, deployed on your infrastructure, with reasoning patterns that match your operational context.
- Eliminate recurring API costs with one-time training investment
- Models that understand your frameworks, not generic instruction-following
- Private deployment — your data stays on your infrastructure
- QLoRA fine-tuning for efficient domain adaptation
The Hidden Cost Problem
Off-the-shelf models don't understand your frameworks. You pay per token to fight against their training — re-explaining your governance protocols, your operational vocabulary, your decision boundaries, every single session.
- Recurring API costs scale linearly with usage — no efficiency gain over time
- Generic models require extensive prompting to approximate domain knowledge
- Sensitive operational data sent to third-party inference endpoints
- No institutional learning — the model forgets everything between sessions
Domain Expertise, Not Generic Fine-Tuning
We don't just fine-tune on your data. We train models that implement your operational frameworks — Multi-Clock decision cadences, governance protocols, trust boundaries. The result is a model that reasons the way your organisation reasons.
Training data comes from your operational documents, decision logs, and governance artefacts. en-quire structures these documents for precise extraction. The model learns your vocabulary, your escalation patterns, your domain boundaries.
What custom training delivers
Cost Elimination
Replace ongoing API costs with a one-time training investment. Local inference at a fraction of the per-token cost.
Domain Performance
Models trained on your governance frameworks outperform generic models on domain-specific tasks — fewer hallucinations, better reasoning.
Privacy by Design
Local deployment. Private model repositories. Your operational data never leaves your infrastructure for inference.
QLoRA Efficiency
Quantised low-rank adaptation means efficient training on modest hardware. Domain expertise without data centre requirements.
Research Integration
Training incorporates our published decision science and governance frameworks. Your model benefits from our research programme.
Ongoing Refinement
Models improve as your operations evolve. Periodic retraining on updated governance artefacts keeps domain expertise current.
How it works
Discovery
We map your operational context — frameworks, decision patterns, governance boundaries, domain vocabulary. This shapes the training strategy.
Training
QLoRA fine-tuning on your operational documents and governance artefacts. Evaluation against domain-specific benchmarks, not generic metrics.
Deployment
Model deployed to your infrastructure — private HuggingFace repositories or on-premise. Integrated with your existing agent workflows.