Evidence systems for
consequential work.
Design verification workflows that fit your sources, review policies, teams, and decisions instead of forcing high-stakes work into a generic automation template.
Start with the decision, not the model.
We help organizations define what a useful review must preserve, who should inspect it, and where automation should stop.
Infrastructure that remains accountable as volume grows.
Engagements can cover workflow design, evaluation, source and citation policy, provenance signals, structured outputs, and review queues for evidence-sensitive operations.
Map the workflow
Identify inputs, owners, source constraints, escalation paths, and the consequence of getting a result wrong.
Evaluate in context
Measure retrieval, citation quality, calibration, and reviewer agreement against the work your team actually does.
Keep judgment visible
Make uncertainty, unresolved evidence, and human review part of the record rather than exceptions hidden behind a score.