Solutions / Output Verification

Confirm AI outputs match their cited sources

Retrieval-Augmented Generation makes AI more grounded, but not immune to error. Documents get retrieved correctly and then summarized wrong. Meerkat verifies that the output is faithful to what was actually retrieved.

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The Problem

AI agents are fast, confident, and
wrong often enough to matter

Faithfully retrieved, unfaithfully summarized

The retrieval was correct. The LLM's summary of it was not. RAG does not solve hallucination, it changes where hallucination happens.

The fundamental output verification problem

Semantic collapse

As context windows grow, retrieval precision degrades. More documents retrieved means more opportunities for the LLM to conflate, merge, or fabricate across sources.

Precision silently collapses at scale

Source vs. summary

Meerkat transforms the problem from 'is this true?' (a knowledge problem) to 'does this match the source?' (a comparison problem). Comparison is solvable. Truth is not.

The architectural insight

How Meerkat Works

Two gates between the retrieval
and the response

Ingress Gate

Shield scans retrieved documents and user queries before the LLM processes them

Catches prompt injection hidden in retrieved documents
Prevents data exfiltration via crafted queries
Sanitizes content while preserving retrieved context

Egress Gate

Verify checks every claim against the retrieved sources

Faithfulness scoring for every claim
Numerical extraction and comparison with domain-specific tolerances
Claim-level grounding verification against source documents

Capabilities

What Meerkat delivers for RAG pipelines

Claim-Level Verification

Every factual claim in the output is individually checked against the source. Not a document-level similarity score. Per-claim, per-sentence grounding.

Numerical Fidelity

Numbers extracted from source and output via regex, compared with domain-specific tolerances. Revenue figures, dosages, dates, percentages. The errors that matter most.

Source Attribution

When the output cites a source, we verify the citation matches. When it does not cite a source, we flag the unsupported claim.

Contradiction Detection

When the output directly contradicts the retrieved source, that is not a missing fact. That is a fabrication. Different severity, different handling.

Deployment

Your source documents never
leave your environment

Cloud API

Send pre-chunked documents and outputs. Zero retention. 5 minutes.

Hybrid Sidecar

Verification runs inside your infrastructure. Source documents never leave.

Self-Hosted

Air-gapped. For proprietary knowledge bases and classified content.