Every claim traced to its primary source. Every score you can take apart and audit.
The verification layer that runs on top of your data stack — making entity assertions defensible for regulated decisions.
AI-powered entity discovery across jurisdictions. Multi-source search with intelligent deduplication and mandate-fit scoring.
Government registry verification plus cross-source claim validation. Every claim tagged by source tier — registry, press, web.
Deterministic confidence scoring. Users see the evidence, not just the conclusion. Auditable by design.
Every registered company in Singapore — live registry verification via ACRA.
LiveEvery active company in the United Kingdom — Companies House REST API.
LiveEvery SEC filer in the United States — EDGAR integration, zero-cost, no auth required.
LiveEach vertical is a configuration — not a separate product. New verticals ship without pipeline changes.
Gamut is not a destination portal or a closed data graph. It is a single, auditable record that sits between your data stack and your applications. Whether verifying a private company for a cross-border venture investment or tiering litigation risk for an underwriting decision, the architecture is identical: source-attributed claims, reproducible scoring, and a verdict you can trace end to end. Same engine. Three verticals.
No LLM in the scoring path. Pure deterministic Python. Every point traceable to an observable fact.
Verified startup landscapes, auto-generated from pipeline output.
Every claim traceable to its source.
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The three-layer content authenticity pipeline that powers Gamut's signal filtering is available as a standalone open-source tool. Monitor any topic, filter AI-generated noise, and surface only what's credible — with your own LLM and your own search provider.
Request access to run a live verification. No demo theater — real queries, real registries, real confidence scores.