For teams shipping AI into regulated, high-stakes workflows — banking, pharmacy, healthcare, public sector.
AI writes your reports, answers your customers, and runs your workflows. VeriVeri checks every claim against your source data — so you know what's accurate before anyone else sees it.
The technology scales. Your trust process does not.
Read the storyYour teams are deploying AI across the organization — customer interactions, financial analysis, reporting, internal workflows. The outputs are often impressive. But "often" isn't good enough when a wrong number ends up in a board report, or a hallucinated policy detail reaches a customer.
Manual review doesn't scale. You can't hire enough people to check every AI output. And every time a new model rolls out — every few months — the error patterns change and your review process starts over.
The real challenge isn't whether AI makes mistakes. It's building a systematic process to catch them.
Add one API call to your app. Every claim in AI-generated text is checked against your source data — errors surface with evidence before the user sees them.
terms-of-service-v3.1.pdf §4.2
Your chatbot answers from RAG sources — but the AI can still get it wrong. VeriVeri checks every response against your source documents and flags errors with evidence before the message is sent.
Q3-2025-interim-report.pdf p.4Q3-2025-interim-report.pdf p.12Q3-2025-interim-report.pdf p.9Q3-2025-interim-report.pdf p.6AGM-2025-board-proposal.pdfQ3-2025-interim-report.pdf p.8Q3-2025-interim-report.pdf p.9AI drafts financial reports in seconds — but a single wrong number can reach the board. VeriVeri verifies every claim inline against your source documents and surfaces only the issues that need human judgment.
A chatbot drafts a response. A model writes a summary. An agent completes a workflow step. Business as usual.
Send the AI output and your source data to the API. Every factual claim is cross-referenced against your ground truth.
POST /v1/verify-lite
Each claim returns verified, disputed, or unverifiable — with confidence scores and reasoning. Route results into your workflow.
"verified" | "disputed"
Choose the right level for your use case. verify-lite covers breadth. verify goes deep on financial data.
Fast, general-purpose fact-checking for any AI output. Customer support, agentic workflows, content generation — anywhere AI talks to your users or feeds into a decision.
Deep verification for high-stakes domains. Currently evaluated on financial data — reports, audits, internal controls. Where numbers must be right.
Every verification request logged. Full traceability for compliance and internal review.
LiveUsage analytics, verification stats, and claim distribution monitoring.
LiveDesigned for regulatory documentation and internal control requirements.
BetaWe're expanding deep verification to additional regulated industries.
We build every process to meet the standards our customers require. Our data handling, security practices, and AI governance are aligned with leading frameworks — certifications are in progress.
VeriVeri doesn't generate content — we verify it. Our APIs use multi-LLM consensus and domain-specific evaluation to deliver accuracy that no single model can match.
Deployment notes from inside regulated industries — what breaks, what scales, what we built VeriVeri to fix.
“The technology scales. Your trust process does not.”
How deploying generative AI across banking, pharmacy, and grocery at one of Sweden's largest retail groups revealed a universal bottleneck — and why we built VeriVeri to eliminate it.
Read the full storyLeave your details and some context — we'll get back to you.