The workspace behind the evidence

A control and evidence layer for AI workloads.

DTL gates decide what may proceed, pause uncertain work and preserve signed evidence so another person can reproduce the decision.

The evidence you need, every time. Learn more

Get the app Take the workspace tour

For researchers, builders and teams testing what comes next.

Inside EcoKureIllustrative workspace
Illustrative EcoKure workspace: a sample project keeps checks, review decisions and source files together. Example entries show pass, review and blocked outcomes.
One place to test. A record you can follow.

From question
to evidence.

  1. 01
    Bring your workA question, dataset or system output.
  2. 02
    Put it to the testChoose checks. Inspect exceptions.
  3. 03
    Make it checkableSave the method, result and sources.
Lighthouse public library map linking a project to its checks, review and shared record.
Lighthouse connects work to evidence · illustrative project

Lighthouse / Public library

A public library
where shared knowledge grows.

Find the project behind a result. Trace its sources, cite a saved version, and add your questions to the discussion.

Your workspace connects projects, topics and checks. Choose what to share and invite others to review it.

See how research connects

Start with one real question

Build the case
for what comes next.

Bring a study or company workflow. Agree what success looks like, run the checks, and invite a partner to review the evidence.

Get the app ↗Discuss a pilot →

You control access to your workspace. Publishing a result invites scrutiny; it does not establish correctness, medical benefit or readiness for deployment.