01 · OFF-THE-SHELF AI

Systemic risk.

Hallucinated answers about your own policies. Customer data leaking into public models. If the AI is not yours, the risk certainly is.


  • Uncontrollable hallucinations
  • Confidential data leakage
  • Dependence on third-party APIs

Do not hand your core to a third party

02 · YOUR OWN ENTERPRISE LLM

Absolute control.

Your own model, trained on your data and hosted on your own on-premise server. Maximum performance without giving up control.


  • Total data sovereignty
  • Zero external dependency
  • Military-grade privacy

Bespoke · Pro

03 · RAG ARCHITECTURE

Scale the context.

Do not train from scratch. Retrieval-augmented generation so your model answers from your private document base, instantly.


  • Private, isolated document base
  • Extreme precision, no hallucination
  • Vector semantic search

Surgical precision

04 · THE DIAGNOSIS

Roadmap to ROI.

We identify inefficient processes and hand you a 12-week technical plan. 47+ companies already run on our stack.


  • Audit and strategy session
  • Guaranteed technical implementation
  • Predictable benefit scaling

€1,500 · 3 slots per month

generic_ai({ hallucinations: 'frequent', privacy: 'compromised', data_control: false // Legal exposure });
enterprise_llm({ training: 'your_own_data', hosting: 'on_premise', ownership: 'exclusive' });
rag_pipeline({ vector_db: 'isolated', context: 'internal_docs', precision: '99.9%' // 0 hallucinations });
roi_diagnostic({ phase_1: 'process_audit', phase_2: 'onpremise_rollout', outcome: 'competitive_edge' });
On-Premise Zero Data Leakage Report in 12 Weeks

What you’re actually buying

Three commitments, not three features

Data
Sovereignty

Your data never trains public models. Complete sovereignty, inside your own firewall.

Precision
Engineering

No generic API wrappers. Resilient backend systems on a high-performance stack.

Business
ROI Focus

Every architectural decision tied to strict business logic, not to novelty.

The engineering layer

What the deployment is actually built on

Air-gapped LLM instances and RAG architectures that live inside your firewall, wired to your own SQL, NoSQL and private documents. Built in the agentic paradigm — fleets of specialised agents across the full delivery lifecycle.

Agentic AI

  • Multi-Agent Orchestration
  • Tool Calling & Hand-offs
  • MCP

RAG & Retrieval

  • Vector Search
  • Context Engineering
  • LlamaIndex · LangChain

AI Safety

  • Reliability & Guardrails
  • Evaluation Harness
  • Audit Trails

Model Operations

  • vLLM Inference
  • PyTorch
  • On-Premise Hosting

Zero Lock-in

  • You own the infrastructure
  • Built to self-operate
  • No license resale

Fixed Pricing

  • Exact investment up front
  • No hour-pools
  • No surprise surcharges

From diagnosis to production

A 12-week technical plan — 3 slots per month
01

Audit

Technical evaluation of your corporate infrastructure and a strategic session.

02

Spec

The 12-week deployment roadmap for private RAG, written down before anything is built.

03

Deploy

Air-gapped LLM instances and RAG architecture inside your firewall.

04

Scale

Guaranteed technical implementation and predictable benefit scaling.

Your company. Your AI.

The competitive edge is not in the model, it is in your data. Start your diagnosis and scale today.

Book a session · €1,500 →