AI & RAG: governed intelligence over your data.
Internal retrieval, document analysis, and operational assistants that surface answers across your records — with governed access.
Core Engine: Retrieval / LLM
Architecture: Modular / Governed
We put AI to work on your own knowledge — grounded in your data, with permissions and auditability built in.
Retrieval-augmented answers
Answers grounded in your own documents and records, with source citations and permission-aware retrieval — no hallucinated facts.
- ›Grounded in your documents
- ›Source citations
- ›Permission-aware retrieval
Operational assistants
Natural-language access to your operational knowledge — query, summarise, and draft across contracts, records, and reports.
- ›Natural-language queries
- ›Workflow copilots
- ›Report drafting
Knowledge & governance
A unified, permissioned index over your records with a full audit trail — your data never leaves your governed boundary.
Unified index
One searchable knowledge layer across documents, contracts, and records.
Access control
Retrieval respects the same permissions as your source systems.
Audit trail
Every query and answer is logged and attributable.
No data leakage
Runs on private or self-hosted models — data stays inside your boundary.
Back-End / Logic
Python
Vector Store
pgvector
Models
Open / Private LLM
Access
RBAC / Audit
Technological sovereignty
We use exclusively open technologies and frameworks, ensuring full independence from foreign vendor licences and cloud providers.
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Knowledge search
Instant retrieval across documents, contracts, and operational records.
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Document analysis
Extraction, summarisation, and comparison over large document sets.
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Operational copilots
Assistants embedded in workflows to speed up analysis and drafting.
Layer 01 / Ingestion & Index
Parsing, chunking, and embedding of documents into a permissioned index.
Layer 02 / Retrieval
Permission-aware retrieval that grounds every answer in your sources.
Layer 03 / Reasoning & UI
Private LLM reasoning surfaced through search, chat, and workflow copilots.
10x
0
100%
+40%
Governed intelligence
AI is only safe when it is governed. Retrieval respects your permissions, models stay private, and every answer is cited and logged.
Permission-aware retrieval
Answers respect the same permissions as the source systems — no over-exposure.
Private models
Runs on self-hosted or private LLMs; your data never trains third-party models.
Grounded & cited
Every answer is grounded in your documents with verifiable citations.
Full audit trail
Every prompt, retrieval, and answer is logged and attributable.
Ready to go deeper?
Tell us what you're trying to structure, connect, or control — we'll map the right architecture for your team.