AI & knowledge systems

AI grounded in your own knowledge, sources and workflows.

RHUDE builds AI systems around material that already has value: documents, archives, research, media, calls, collections and operational knowledge. The goal is not to add a chatbot everywhere. It is to make information easier to retrieve, trace and reuse while automating the repetitive parts that can be automated safely.

Why the architecture matters

Generic AI becomes unreliable when it lacks context, sources and clear boundaries. Useful organisational AI needs controlled ingestion, retrieval, permissions, traceability and an explicit path from answer to source.

Services

What RHUDE can build

Domain-specific AI assistants
RAG and source-aware retrieval
Document and archive intelligence
Transcription and media indexing
Classification and metadata enrichment
Controlled agents and workflow automation
Approach

From idea to a deployable system.

01

Frame

Identify the knowledge and workflows worth connecting

02

Architect

Design ingestion, metadata, permissions and source traceability

03

Prototype

Build retrieval and interfaces around real user questions

04

Deploy

Add automation only where review, logging and ownership are clear

Selected work

Relevant experience

Project

Immersive Archaeology Finland

WebXR, AR, spatial data and provenance-aware immersive archaeology with University of Oulu.

Coming soon
Project

CCIAA Sassari — Multimedia Hub

Technical systems design for a multimedia hub, podcast studio and digital reading environment.

Coming soon
Questions

Practical questions

What is a RAG knowledge system?

RAG combines a language model with retrieval from your own approved sources so answers can use organisation-specific information and point back to the material they came from.

Can the system use video and audio?

Yes. Media can be transcribed, segmented, indexed and enriched so relevant moments can be retrieved alongside documents and structured data.

Do you build fully autonomous agents?

Only where autonomy is justified. For higher-risk actions RHUDE favours approvals, logging and explicit business rules rather than uncontrolled automation.

New projects

Have a complex idea?

RHUDE is most useful early, when creative, technical and operational decisions still have room to align.

Discuss a project ↗