Project knowledge is spread across documents, repositories and decisions whose latest approved version is hard to identify.
Ava AI
byAnswers with evidence. Context with history.
A permission-aware knowledge workspace that turns approved documents into cited answers and versioned context for people and AI tools.
Request a technical walkthrough →Which data snapshot was approved for the April evaluation?
Snapshot eval-2026-04-17 was approved after the access-control rerun.
Evaluation plan §4.2 · 17 AprReview record #184 · 18 Apr- Used by
- Engineering leads, support specialists and internal knowledge owners
- Inputs
- Approved PDFs, project documentation and repository documents with source ownership and access rules
- Produces
- Cited answers, source timestamps, searchable snapshots and a reviewable account of what changed
What happens when Ava AI is in the loop.
Ava retrieves only from permitted sources and attaches the exact passage, owner and snapshot date to every material claim.
People and agents receive an answer they can verify, while access rules and source history remain intact.
Inside Ava AI
Six visible stages connect the source to the operator. Nothing important disappears inside a single model call.
- 01Allowlisted source connectors
- 02Immutable context snapshots
- 03Retrieval with paragraph citations
- 04Read-only typed tools
- 05Evaluation and tracing
Acceptance targets
These are validation criteria for a scoped pilot. They are not presented as observed customer results.
- 01
At least 90% of factual claims supported by cited passages on the agreed evaluation set
- 02
No cross-role disclosure in the access-control test suite
- 03
Every source change appears in a traceable snapshot
- 04
Every unanswerable case is declined or clarified