Sayari provides a SaaS platform that combines a proprietary Commercial World Model of 1.5 billion entities and an ontology of investigative tradecraft to deliver AI‑native risk workflows. Its Superconductor engine automatically resolves entities, maps ownership chains, and generates audit‑ready evidence for compliance areas such as sanctions, AML, ESG and supply‑chain monitoring, giving enterprises traceable, regulator‑ready insights.
Funding
$235M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TFounders
Product
Problem
Enterprises face fragmented, unreliable risk data when trying to verify counterparties, trace ownership, and monitor supply‑chain exposures across sanctions, export controls, AML, ESG and forced‑labor regulations. Generic AI tools provide confident answers but lack traceable evidence, making it impossible to explain decisions to regulators and risking costly compliance failures.
Solution
Sayari delivers a judgment infrastructure that combines a proprietary Commercial World Model—covering over 1.5 billion entities, 3 billion relationships and 250 + jurisdictions—with domain‑specific tradecraft encoded in an extensive ontology. This data substrate powers AI‑native workflows that automatically resolve entities, map ownership chains, and generate audit‑ready evidence for a full spectrum of risk domains. The platform’s Superconductor engine orchestrates these workflows, scoring outputs against expert‑defined rubrics and routing results to the appropriate users in real time. Clients can continuously monitor signals such as sanctions lists, export‑control changes, and adverse media, while the system records performance metrics for ongoing accountability. By embedding judgment into every step, Sayari enables trusted, explainable AI decisions for high‑stakes economic‑security use cases.
Target Audience
Primary customers are compliance, risk, and procurement teams at Fortune 1000 enterprises—especially banks, insurers, manufacturers, and technology firms—that need verified ownership data and AI‑driven risk intelligence across multiple regulatory domains.
Features
- Unified Commercial World Model with 1.5 B+ resolved entities, 3 B+ relationships and 11 years of longitudinal records across 250+ jurisdictions
- Ontology of investigative tradecraft (650 K+ ontology lines, 67 K+ labeled decisions) that encodes “right” judgment for economic‑security analysis
- AI‑native Superconductor engine that automates signal monitoring, decision‑tree scoring, and routing of risk outputs without manual prompting
- Real‑time entity resolution and ownership‑chain mapping that reduces false positives and uncovers ultimate beneficial owners through multi‑layer shell structures
- Integrated risk modules for KYC/beneficial ownership, sanctions & export controls, AML, forced‑labor, ESG, and supply‑chain visibility within a single SaaS interface
- Continuous performance scoring and audit logs that provide traceability and regulator‑ready documentation for every AI‑generated insight
- Scalable cloud deployment with API and FHIR‑compatible integrations for embedding risk intelligence into existing compliance workflows