Multi-Model Claim Verification for Investigators and OSINT Professionals
Investigators: verify claims across 5 AI models with full evidence chains and exportable audit trails. Structured verification for OSINT and due-diligence work.
Who this is for
Investigators — Investigative researchers, OSINT analysts, due-diligence professionals, and intelligence researchers
The problem
Investigative work depends on the integrity of evidence chains. When a claim is wrong early in an investigation, it shapes every subsequent question you ask, every source you pursue, every conclusion you reach. A single false premise can redirect months of work.
The problem with using AI for investigative research is that AI models are trained to be helpful — which means they generate plausible-sounding outputs even when evidence is thin. In an investigative context, a plausible-sounding claim that isn't well-grounded is worse than no claim at all. It's a confident pointer in a potentially wrong direction.
OSINT and due-diligence work also requires documentation. You need to show not just what you found, but how you verified it, what counter-evidence you considered, and why you reached the conclusions you did. A single AI response provides none of that structure.
How ConvergePanel helps
ConvergePanel's structured multi-model output gives investigators two things: a cross-verified assessment of factual claims and an exportable audit trail documenting the verification process. When five models with different training data and reasoning approaches agree on a claim, you have stronger grounds to build on it. When they split, the disagreement map tells you where to apply skepticism.
How it works
- 1Identify the specific factual claims that are load-bearing in your investigation
- 2Paste each claim into ConvergePanel's Claim Verification mode
- 3Review the consensus score as a reliability signal — treat anything below 60 with elevated scrutiny
- 4Read each model's evidence separately, looking for which models cite specific sources vs. general reasoning
- 5Export the structured verification output as documentation for your evidence chain
- 6Flag unverifiable claims explicitly in your working notes rather than treating them as unverified background
Use cases
- Cross-checking biographical claims about a subject under investigation
- Verifying financial or corporate claims that will inform further inquiry
- Testing the strength of a claim before building additional investigative threads on it
- Documenting the verification process for claims that will appear in a published investigation
- Triaging a large set of tips or claims by reliability before committing investigative resources
Verify investigative claims with 5 models — start free
Get started →Free tier available. No credit card required.
ConvergePanel provides AI-assisted verification for informational purposes only. Not forensic analysis. Not legal evidence.
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