Services
Six services, two of which are the point.
On-premises AI engineering and agentic framework development are what we are for. The other four exist because those two do not succeed without them.
Flagship service
On-premises AI engineering
Production language-model systems running on hardware you own, in networks you control, integrated with the identity and monitoring you already operate.
- · Capacity model
- · Serving baseline
- · Retrieval layer
Research & development
Agentic frameworks
Agent systems with declared control flow, typed tool contracts, least-privilege access and a trace that can answer questions years after the run.
- · Task decomposition
- · Tool contracts
- · Policy layer
Service
AI strategy & discovery
A short, evidence-led piece of work that tells you what is feasible on your data and your infrastructure, what it will cost, and what you should not attempt.
- · Opportunity register
- · Data readiness assessment
- · Risk classification
Service
Data engineering & MLOps
The substrate everything else stands on: pipelines that fail loudly, retrieval that stays fresh, registries that record provenance, and releases that can be undone.
- · Data contracts
- · Ingestion & lineage
- · Retrieval pipeline
Service
Evaluation & assurance
Measurement designed before the system exists, and the evidence pack that lets your second line say yes.
- · Golden dataset
- · Rubric + agreement study
- · Offline suite
Service
Enablement & handover
Our success condition is that you do not need us. Everything here exists to make that testable rather than aspirational.
- · Exit criteria
- · Runbook
- · Architecture decision records
Start with the constraint.
Most of these projects are shaped by what you cannot do rather than what you want. Data that cannot leave the estate, a model you cannot host with a third party, a decision somebody has to justify to a regulator. Tell us yours and we will say honestly whether we can work inside it.