For organizations whose knowledge carries responsibility.
We help institutions and enterprises unify the knowledge trapped in their documents and systems, and run AI on it inside an environment they control.
Manufacturing
Turn drawings, specifications and quality records into governed data for engineering and operations. OCR, private models and deterministic methods are chosen for each task, with experts confirming what critical decisions depend on.
Unlock complex document data
Extract critical information from scans, tables, diagrams, engineering drawings, material certificates and other complex content.
Create structured enterprise knowledge
Transform fragmented content into consistent metadata, relationships and reusable structured data.
Enrich the systems you already use
Put structured knowledge to work across existing platforms and workflows, without replacing your technology stack.
Institutions, education and research
Connect research outputs, policies and records under institutional control. Make processing, administration and model choices explicit, with documented systems and skills your teams can operate themselves.
Connect institutional knowledge
Bring repositories, archives and records into one governed knowledge graph.
Keep sensitive data inside
Run private models on premise, in a private cloud or hybrid, within an approved environment.
Respect roles and permissions
Access follows your existing identities, faculties and services.
Professional services
Reuse project files, contracts and technical studies while protecting client confidentiality. Access rules follow the data into every answer, and existing document, project and matter systems stay in place.
Reuse project knowledge
Find studies, clauses and precedents across projects and matters by meaning.
Access by practice and matter
Permissions follow your teams, practices and engagement walls.
Answers you can cite
Every answer links back to the document and the page it came from.
FAQ
Your questions, answered.
Why can't our existing AI tools analyze our documents?
Generic tools read text, but engineering knowledge sits in drawings, tables, scans and the relationships between documents. AI can only be trusted with information that has been connected, classified and controlled first.
How can we trust extracted data for critical decisions?
Every value keeps a link to its source location and a review status, and human review is configured where accuracy matters most, so any field can be checked against the document it came from.
Can sDEN handle complex documents, not just PDFs and text?
Yes. The pipeline combines OCR, private open-weight models and deterministic methods to read scans, dense tables, engineering drawings, data sheets and diagrams.
Do we need to migrate documents or replace our systems?
No. sDEN connects to your existing repositories, keeps your permissions and controls in place, and delivers structured data to the systems your teams already use.
Can our data stay in an approved environment?
Yes. sDEN deploys on premise, in a private cloud or in a hybrid setup, and the boundary is defined with you before any model is chosen.
Does it work with our identity provider?
Access follows your existing identities and permissions, with single sign-on and multi-factor authentication.
Can we keep using external models?
Where your policy allows it, requests pass through one governed gateway that applies policy and records what happened, so sensitive data stays on approved paths.
Who operates the system after delivery?
Your teams. We transfer the configuration, the documentation and the skills to run it.
Put your knowledge to work.
We help institutions and enterprises unify the knowledge trapped in their documents and systems, and run AI on it inside an environment they control.