Verify AI answers before you act on them.

Use independent checks for factual claims, reasoning and sources rather than relying on the original model alone. Vera automates this by routing the answer through a configurable multi-model AI verification chain and exposing each correction, disagreement and source. The result remains subject to professional judgement.

Vera does not claim to identify every hallucination. It reduces the risk of undetected errors by having independent models audit factual claims, challenge assumptions and verify live sources. Conflicts are surfaced rather than hidden, so unsupported claims and missing evidence are easier to inspect.

A single model produces and judges its own answer. Vera separates roles across independent models: one formulates, another audits facts, another challenges the reasoning and another verifies sources. No single model has the final word without review.

Yes. Vera runs every model selected for the session in its configured role and records the resulting findings, corrections, sources, token usage and cost. The exact models can be configured per session.

When source verification is selected, Perplexity checks current public sources and returns references for the claims under review. Claude then incorporates justified findings into the final answer. The sources and model steps remain visible for inspection.

No. It means the answer passed through independent factual audit, adversarial challenge and live source verification, with corrections, disagreements and sources shown. Vera does not guarantee truth; it makes the verification behind each answer inspectable.

Vera's Semantic Privacy Shield transforms detected sensitive values inside the customer-isolated Vera environment before approved context is released to external models. A local privacy gate checks the outbound text and blocks transmission if verification fails. This reduces exposure but does not guarantee that every indirect identifier can be detected.

Vera surfaces disagreement rather than collapsing it into a false consensus. The final synthesis can incorporate justified corrections, preserve unresolved uncertainty and show which model raised each issue. You can inspect the evidence and remain responsible for the decision.

PDF files are not permanently stored by Vera. They are processed temporarily in memory for the active chat run; only metadata is retained for session history. Model calls, including document content in the context, are sent to the configured AI providers via OpenRouter.

Yes. You configure the verification chain per session. You can choose which models participate, see the tokens and cost per model call, and decide how much verification depth each question deserves.