Insight
Why we bet on ontologies
What we think Palantir gets right — and where we diverge.
On-Premise LLM
AI that never leaves your house: language models and decision systems in your own infrastructure — on-prem or in your cloud (Azure, AWS, GCP). Full data sovereignty, no data outflow to US providers.
- Cluster
- Operations
- Duration
- from 4 weeks
- Fee
- on request · project-based
On-premise LLM: AI that stays in-house, GDPR-compliant.
The moment personal or business-critical data is involved, the cloud AI of a US provider becomes a compliance risk. An on-premise LLM solves it at the root: the language model runs on your own server or in your cloud — no data outflow, full GDPR conformity.
We select the right open model (Ollama, Mistral, Llama), size the hardware, set up RAG on your internal data and hand over monitoring plus an operations handbook. Model-agnostic and free of vendor lock-in — you stay able to switch at any time.
What you concretely get
Concrete results as a hand-off artefact.
On-premise LLM deployment for data-sensitive sectors: locally operated language models (Ollama, Mistral, Llama) with RAG, monitoring and an operations handbook — GDPR-compliant, in your control.
Model selection and sizing: which open model solves your task, on which hardware.
Deployment in your infrastructure — on-prem or in your own cloud environment.
RAG on your internal data, without a single byte leaving the house.
Monitoring, update path and operations handbook — your team runs it itself.
Model-agnostic and free of vendor lock-in — you stay able to switch.
Approach
How we work.
Three phases, clear outputs. You see every step — and can exit after any one of them.
- 01
Assess
Clarify requirements, data classes and hardware; select the right open model.
- 02
Set up
Deploy the model and RAG in your infrastructure, validate on real data.
- 03
Hand over
Monitoring and operations handbook, team training — operations in your hands.
Pricing & Models
On request. Project-based. Individualised.
Every engagement is scoped individually based on scope, maturity level, and time horizon. We work project-based with fixed price, day-rate-based with transparent rates (junior to senior), or on a retainer model.
- Project-based
Fixed price per phase with a defined definition of done. Preferred for clearly scoped engagements.
- Day-rate
Rates tiered by seniority level — Junior, Mid, Senior, Principal. Transparent billing.
- Retainer
Fixed monthly hour budget. Useful for operate phases or fractional lead mandates.
Intro call
On-Premise LLM — let's talk about it.
At the end: a clear recommendation — or a reason why a different path fits better.