Multi-model review
Vera routes one answer through every model selected for the session. Each selected reviewer performs its assigned check, so no single external model has the final word.
About IamVera.ai
IamVera: a multi-model AI verification layer for professionals
AI answers should be verified, not just trusted.
IamVera helps professionals inspect, challenge and verify AI-generated answers through multi-model AI verification, live source checking and privacy-preserving document workflows.
What Vera is
What IamVera is
Vera is not a single chatbot and not a standalone language model. It is an AI answer verification layer that makes AI-assisted work more inspectable.
Source verification
Factual claims can be checked against live sources, with corrections and uncertainty exposed instead of hidden.
Inspectable output
The final answer includes the visible trail behind it: model feedback, corrections, disagreements and source checks.
Why it exists
Why AI answer verification matters
AI models can sound convincing even when they are incomplete, outdated or wrong. For professionals working with legal, medical, journalistic, compliance or research material, that creates risk.
Vera reduces that risk by turning one model answer into a transparent verification workflow. It does not guarantee truth. It makes the process behind an answer visible, so the user can make a better professional judgement.
Verification chain
How multi-model verification reduces the risk of undetected errors
The chain is configurable per session. Claude produces and consolidates the answer; every selected reviewer is then used for its assigned factual, adversarial or source-verification step before final synthesis.
1. Answer and audit
An initial answer is generated, then independently reviewed for factual claims, weak assumptions and missing context.
2. Challenge and verify
Another model challenges the reasoning, while live source verification checks whether claims can be grounded.
3. Surface disagreements
If models disagree, Vera shows the conflict instead of smoothing it away. Disagreement can be useful evidence.
4. Final synthesis
Confirmed corrections and source checks are synthesised into a final answer with the verification trail still visible.
Sources and transparency
AI source verification and inspectable output
AI source verification is part of Vera’s wider review process. Live sources, model findings, corrections and disagreements remain visible so professionals can inspect how the final answer was built.
Live source checking
Claims can be checked against current, citable sources rather than accepted solely because a model presents them confidently.
Visible verification trail
Vera exposes the reviews, corrections, disagreements and sources behind the final answer instead of reducing the workflow to a hidden confidence score.
Privacy
Privacy-preserving AI for confidential documents
Vera is built for professional workflows where sensitive documents cannot simply be copied into public AI tools. The Semantic Privacy Shield supports local transformation and verification before approved context reaches external models.
Preserve context. Shield identity. Verify before exposure.
Dehydrate
Sensitive values such as names, dates, minors, medical details and case identifiers can be replaced inside the customer-isolated Vera environment with synthetic equivalents before external model calls.
Analyse
The AI chain analyses the synthetic version, preserving enough context for useful reasoning while reducing direct exposure.
Rehydrate
The final answer can be restored inside the protected Vera environment with the original values after the verification workflow completes.
Who it is for
Who IamVera is designed for
Vera is designed for people who use AI in work where accuracy, confidentiality and accountability matter.
Lawyers
Notaries
Occupational physicians
Journalists
Compliance teams
Researchers
Security-sensitive organisations
Principles
Honest claims and visible limitations
No truth guarantee
Vera does not claim to eliminate hallucinations or guarantee correctness.
No hidden certainty
Weaknesses, disagreements and missing sources are shown rather than hidden.
User responsibility
Vera supports professional judgement. It does not replace it.
FAQ
Questions about IamVera
Direct answers about the product, its purpose, its limitations and the professionals it is designed for.
No. IamVera is a multi-model AI verification layer, not a standalone chatbot or language model. It coordinates selected models to review facts, challenge reasoning, verify sources and expose the verification trail behind the final answer.
IamVera was founded by Victor Angelier and is a product of The Coding Company B.V. The product is built and operated in the European Union.
No. Vera does not guarantee truth or eliminate hallucinations. It reduces the risk of undetected errors by making independent review, corrections, disagreements and source checks visible. Final professional judgement remains with the user.
IamVera is designed for professionals who use AI in work where accuracy, confidentiality and accountability matter, including legal teams, notaries, health services, journalists, researchers, compliance teams and security-sensitive organisations.
Start verifying AI answers
Vera replaces blind trust with structured inspection: model review, adversarial challenge, source verification and privacy-aware document handling.