Why Pauhu
Pauhu connects a user's task to source-backed information, governed processing and inspectable evidence.
Evidence you can inspect. Where supported by the product, outputs can carry source identity, provenance, currentness and verification evidence. Pauhu is designed to show what a result is based on, and where the evidence limits the claim.
Built to last. What you rely on – your sources, rights and approvals – stays constant even as the technology behind it changes, so you are never tied to one AI vendor.
European data built for AI. Pauhu's European language and legal data portfolio is designed around identifiable sources, multilingual use and evidence that can be traced and reviewed.
Two ways to work with Pauhu
AI TECHNOLOGY → pauhu.ai
The AI-facing layer: MCP/API access and governed capabilities for search, translation, terminology, code, data and source-based work.
Designed around:
- controlled actions
- no lock-in to a single AI provider
- portable evidence you can keep
EUROPEAN LANGUAGE DATA → pauhu.eu
The portfolio shows what you need to judge the data itself:
- sources
- language coverage
- provenance
- rights
- freshness
- access
- known limitations
Evidence before assertion
Product-specific proof is available with the relevant product.
SOURCE → PROCESSING → RESULT → EVIDENCE
Depending on the product and accepted deployment, a result can be accompanied by its supporting evidence, relevant state or limitations, and explicit control boundaries.
Clear results. Each check comes back as one of four plain states – passed, failed, unknown, or not applicable – so you always know where a result stands.
Built for work that has to hold up
Pauhu is built for organisations that require explicit control over their data, sources and consequential actions.
- government and public-sector organisations
- regulated and high-trust enterprises
- compliance, procurement and policy teams
- financial and regulated organisations
- energy and industrial organisations
- health and life-sciences organisations working with qualified human review
- research and education organisations working across languages and sources
Typical work includes evidence retrieval, policy and regulatory analysis, multilingual research, terminology, technical-document analysis and controlled knowledge workflows.
Built to adapt
No lock-in. Your results and evidence do not depend on any single AI provider.
You stay in control. Consequential actions happen only with your explicit authorisation – the AI cannot act on its own.
Runs where you need it. Can run under your own control where the product supports it.
Traceable results. Results can be traced back to the exact sources they are based on.
Your work, your choice
The customer-owned parts specified in your offer remain yours: use, change, combine, build on, sell or transfer them. Pauhu retains its own intellectual property. Ownership and licence scope are defined for the specific offer.
Built for multilingual Europe
The portfolio is designed around the 24 official EU languages. Coverage varies by underlying source and document.
W3C DCAT 3, DCAT-AP 3.0.1, LanguageDCAT-AP 0.9.5.
Conformance is stated only for resources that have passed the applicable validation.
Evaluate the product
Pauhu is evaluation-led. Evaluations begin with a defined use case, authoritative source set, deployment requirements and explicit acceptance criteria.
- product and deployment definition
- source and provenance information
- evaluation criteria
- known limitations
- applicable rights information
- identity and configuration
- citations and evidence behaviour