Services · AI & ML
Answers from your data.
Retrieval, evaluation, private inference and MLOps — the engineering that turns a demo into a system you can run in production, with every answer traceable to its source.
- 4areas
- 20Services
- EUdata residency
- 0external calls, if you need it
From your documents to a cited answer
Each stage is a service you can buy alone; together they are the reference architecture behind most engagements.
Four disciplines, from data to production
AI projects fail on plumbing and proof, not on model choice. We build the retrieval, the evaluation and the operations around the model — and can run the whole thing on hardware you control.
Data & Retrieval
Getting your own content into a form a model can answer from — reliably, and with citations.
- Data pipelines
- Chunking & embeddings
- Vector search
- Hybrid retrieval & reranking
- Grounded answers
Models & Evaluation
Choosing a model, shaping its context, and proving it works before it ships.
- Model selection
- Prompt & context engineering
- Fine-tuning
- Evaluation harnesses
- Guardrails
Private & On-Premise Inference
Models running on hardware you control, so regulated data never leaves the building.
- On-premise deployment
- Data residency
- GPU sizing
- Throughput tuning
- Air-gapped operation
MLOps & Operations
Keeping a model in production long after the demo is over.
- Model serving
- Monitoring & drift
- Inference cost control
- Retraining pipelines
- Model registry
Regulated data never has to leave the building.
Ollama or vLLM on your own servers and GPUs, residency documented for audit, and — when you need it — no third-party API calls and no egress at all.
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