Verification-as-a-Service

AI fact-checking is the process of verifying claims made in AI-generated content against real data sources. LLMs hallucinate facts, invent statistics, and cite sources that don't exist. Our service runs every claim in your document through multiple independent AI agents that cross-reference against SEC filings, patent databases, government records, academic papers, and 20 years of consumer discussions across forums and review platforms. Each claim gets a status: Verified, Incorrect, Unverifiable, or Needs Context.

Any document with factual claims: market research reports, competitive analyses, investment memos, marketing content, regulatory filings, press releases, whitepapers, board presentations, grant proposals, and custom research reports. If someone is going to make decisions based on it, we can verify it's accurate before it goes out.

Our verification system catches significantly more errors than single-pass review. Every claim requires independent confirmation from multiple sources before it's marked Verified. When sources conflict, the claim gets flagged for additional review. The advantage over human fact-checkers is speed and coverage: we check every claim, not just the ones that look suspicious. Human fact-checkers typically verify 20-30% of claims due to time constraints.

No. A single AI model cannot reliably verify its own output because it uses the same knowledge and biases that generated the errors. Effective verification requires cross-referencing against external databases and primary sources. Every claim gets independently traced to its origin. This is the same principle as independent auditing: you don't ask the author to review their own work.

Standard turnaround is 24 hours for documents up to 50 pages. Rush service (4-8 hours) is available. A typical 20-page market research report with 150-200 factual claims takes our system about 2 hours to fully verify. You receive the original document annotated with verification status, source links, and corrections for every claim.

You get your original document back with inline annotations: green for Verified (with source link), red for Incorrect (with correction and correct source), yellow for Unverifiable (with explanation), and blue for Needs Context (claim is true but misleading without additional context). Plus a summary scorecard showing overall accuracy rate and the most critical errors found.