Most companies hand their data to big tech and hope for the best. We help you structure, own, and control your knowledge infrastructure.


The problem

Your company has decades of knowledge locked in PDFs, emails, contracts, internal wikis, and shared drives. AI could transform how you access and use that knowledge — but only if the data is structured, searchable, and under your control.

Most AI vendors want you to upload everything into their cloud. That means:

  • Vendor lock-in — your knowledge is trapped inside their system
  • Data sovereignty risk — your confidential data sits on someone else’s infrastructure
  • No portability — switching providers means starting from scratch
  • No transparency — you cannot see how your data is processed or stored

We take the opposite approach.


What we do

We help you build knowledge infrastructure that you own and control — structured for AI, independent of any single vendor.

Data structuring

Your unstructured data becomes a searchable, AI-ready knowledge base.

  • Document parsing — contracts, policies, reports, correspondence → structured, indexed, searchable
  • Knowledge graph construction — map relationships between documents, topics, entities, and concepts
  • Metadata enrichment — tagging, classification, and cross-referencing across your entire document corpus
  • Multilingual processing — DE, FR, IT, EN — all indexed in parallel

Tool-agnostic architecture

We build systems that work with any AI model — today and tomorrow.

  • No vendor lock-in — your knowledge base works with Claude, GPT, Llama, Mistral, Qwen, or any future model
  • Standard formats — embeddings and indexes in open formats you can take anywhere
  • API-first design — integrate with your existing tools, workflows, and document management systems
  • Model-agnostic retrieval — the retrieval layer is independent of the generation layer

Data sovereignty

Your data stays yours. Full stop.

  • On-premise or Swiss cloud — you choose where your data lives
  • No third-party access — your knowledge base is not used to train anyone’s model
  • Encryption at rest and in transit — military-grade protection for sensitive documents
  • Full audit trail — who accessed what, when, and why

How it works

1. Audit

We assess your current data landscape: what you have, where it lives, how it is structured (or not), and what is missing. We deliver a clear map of your knowledge assets and a structuring plan.

2. Structure

We parse, index, and cross-reference your documents into a structured knowledge base. This includes embedding for semantic search, metadata extraction, and relationship mapping.

3. Connect

We connect your structured knowledge base to the AI tools your team already uses — or set up new ones. The architecture is model-agnostic: switch providers without rebuilding.

4. Own

You own the infrastructure. The data stays on your systems. We hand over documentation, training, and ongoing support. No dependency on us or anyone else.


Who this is for

Law firms — Structure decades of contracts, briefs, and precedent into a searchable knowledge base that works with any AI research tool.

Financial institutions — Organize compliance documents, client files, and regulatory submissions. Keep everything on your infrastructure.

Corporate legal departments — Build an internal knowledge system across contracts, policies, and board materials. No data leaves the company.

Healthcare organizations — Structure clinical protocols, research papers, and regulatory filings. Maintain patient data sovereignty.

Any organization with valuable internal knowledge — If your competitive advantage lives in documents and expertise, we help you make it AI-ready without giving it away.


Why this matters now

AI is moving fast. The companies that structure their knowledge now will:

  • Adopt AI tools faster — any model, any provider, plug and play
  • Avoid lock-in — switch providers without losing your investment
  • Maintain sovereignty — keep sensitive data under your control
  • Build lasting advantage — structured knowledge compounds over time

The companies that wait will spend years catching up — or find their data trapped inside a single vendor’s ecosystem.


Get started

Tell us about your data landscape. We will scope the assessment and get back to you within one business day.

Request an AI readiness assessment