Service · Model deployment
P6Production Fine-Tune & Deployment.
Production is more than the fine-tune. It's the pipeline that can retrain, the serving stack that handles real traffic, the guardrails that catch regressions, the monitoring that spots drift, and the provenance record the auditor asks for. Delivered as a coherent build, with IP assigned to the client.
Outcomes
What changes when the engagement lands.
Production-quality model on production infrastructure
The pilot's shape, hardened for real traffic. Reproducible, monitored, guardrailed.
Multiple adapters, one stack
Different task variants share the serving stack. Efficient at scale.
Provenance for audit
Every artifact dated, every dataset versioned. Full lineage from source to model.
IP assigned to you
The model, the pipeline, and the adapters belong to the client at delivery. No lock-in.
Deliverables
What's in the engagement.
The full production build. Reproducible training pipeline, multiple adapters, serving stack, guardrails, regression testing, monitoring, provenance, and IP assigned to the client.
Reproducible training pipeline
Full pipeline for training and re-training. Configuration versioned, artifacts dated.
Serving stack
Production inference infrastructure. Load-tested, monitored, resilient.
Guardrails and regression testing
Safety layer. Regression suite that catches quality drops before deployment.
Monitoring and provenance
Live monitoring dashboard. Provenance record covering training data and model artifacts.
IP assignment
Legal transfer of model, pipeline, and adapters to the client on delivery.
How we deliver
Fixed scope. Named phases. Duration on the cover.
The engagement is priced against the outcome, not open-ended hours. Every phase has a duration, a named deliverable, and a check-out.
Total duration3 to 6 months
Sales cycle8 to 16 weeks
- 013 to 4 weeks
Production design
Architecture design for load. Guardrail specification. Monitoring plan.
- 024 to 8 weeks
Pipeline build
Reproducible training pipeline built. Adapters set up. Regression suite defined.
- 034 to 8 weeks
Serving and deployment
Serving stack deployed. Load-tested. Monitoring in place.
- 042 to 4 weeks
Handover
Documented handover. IP assignment. Team enabled.
Built for
Buyers this engagement fits.
Typical buyer
CTO, Head of AI, CIO
Businesses whose pilot proved the case
P5 delivered a working pilot. This is what makes it production.
Enterprises whose auditors need model lineage
The provenance record isn't optional. Build it in from the start.
Related services
Where this leads next.
Domain Adaptation Pilot
Dataset prep. LoRA or QLoRA fine-tune. Evaluation harness. Hosted pilot endpoint.
Private LLM Deployment
Inference stack on your infrastructure. Optimisation. Identity, network, observability. Runbooks.
Managed Private AI
Monitoring. Patching. Adapter refresh. Governance. Named support with SLA.
Talk to us.
45 minutes on your operation and the engagement you have in mind. No pitch, no deck.
By briefing only
This engagement is scoped one to one.
This engagement requires a delivery team assembled against your specific scope. Every engagement starts with a direct conversation, not an open form. Email us and we'll route it to the right lead.