Solutions / Confidential knowledge & research

Your questions are
confidential too.

CloseVector implements a private AI search system for your team. Put internal research to work without disclosing your next question to an outside AI processor.

Seal qualification researchLocal processing
Prior internal trial
“Leakage observed at 85°C.”
Follow-up“Repeat with revised seal.”Pending
Search record savedIllustrative interface. Invented records.
Review the earlier test before commissioning the next one.

Begin with what your organization already knows

Find the work your organization already has, without revealing what you are investigating next.

Search internal research, technical records and correspondence without first deciding what is safe to disclose to an outside AI service.

Keep your attention on the research. Keep control of the question.

CloseVector searches the authorized collection on infrastructure your organization controls, with source links that let researchers inspect the original work.

Your next experiment can begin with the earlier finding and the still-open follow-up in view.

Which collection would become more useful if your team could search it this way?

Discuss Your Project

From question to source

Find the result.
Understand when it applies.

Private organizational search

Bring related work together.

Keyword and semantic retrieval help find relevant passages across the authorized collection, including different language for the same idea.

Keep versions visible.

Compare versions of a record: their dates and the assumptions behind each finding. A newer document is not automatically the right source for every question.

Preserve the open question.

Show conflicting findings and limits in the available record. Your researchers and engineers decide what follows. A search of your own records is not an exhaustive prior-art search or a patentability opinion.

Make earlier work useful to the next team.

Choose a recurring research question or an internal collection that is difficult to use. We agree on the access, versions, integration and representative questions needed for a useful first implementation. Connections to existing repositories are scoped, not assumed.

How an engagement works

What your team gets

  • A source-linked review of what supports a finding, what limits it, what’s missing and what to ask for next.
  • The system, installed on hardware you own, with training and support.

Which collection would you like to put to work?

Discuss Your Project