Every claim. Verified.
Verification architecture. Not a wrapper.
LIMMA is a deterministic verification engine that sits between the LLM and the end user. The LLM generates language. LIMMA verifies facts.
The LLM reads. LIMMA computes.
LLMs never do math. 50+ deterministic tools handle every computation — margin analysis, growth rates, full DCF models — with exact-precision arithmetic. The LLM identifies inputs; LIMMA's engine does the math.
Every claim independently verified.
A Unified Classifier extracts every factual claim and classifies it — numeric, percentage, entity, comparison. Each one verified against source documents using type-specific strategies.
Wrong answers corrected, not delivered.
The Reinjection Engine applies direct substitution first, then rebuilds with source data, then flags as unverifiable. Errors are never silently passed through.
Full traceability. Every number proven.
Every number traces to a source document or deterministic calculation with a proof string. Complete audit logs for compliance.
Failed claims don't get rejected. They get fixed.
Limma corrects hallucinations claim-by-claim, re-verifies each fix against source documents, and returns a clean response.
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Complete audit trail. Every decision.
Every verification produces a complete audit trail. Claim-by-claim results, source attribution, correction logs, and event history.
AAPL 10-K FY2024
Services grew 12% YoY
Services revenue was $24.97B
Claim reinjected with source context
LLM corrected to source value
Re-verified against source ✓
"Total net revenue for the three months ended September 28, 2024 was $89.5 billion. Gross margin was 46.2%. Services revenue was $24.97 billion. Services grew 12% year over year."
Every agent. Verified before it acts.
Governance layer for autonomous AI. Nothing reaches the user or triggers an action without verification.
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