Luci AI Agent vs CLEAR Investigate (agentic AI investigations for government, risk and fraud teams)

Luci AI Agent (Lucinity) and CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) (Thomson Reuters) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset. Only CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) is tagged for TX-RAMP.

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Field Luci AI AgentCLEAR Investigate (agentic AI investigations for government, risk and fraud teams)
Vendor LucinityThomson Reuters
HQ Iceland · EuropeCanada · North America
Primary category RiskRisk
Also listed in Risk, ComplianceRisk, Compliance
Summary Explainable AI agent for financial-crime investigations that prepares cases, runs triage and supports SAR-oriented workflows while institutions keep governance decisions.Agentic investigation tool built on Thomson Reuters CLEAR public-records data. From a plain-language question it plans and runs searches across CLEAR data and the open web, resolves conflicting records and returns concise cited findings with a record of the searches it ran, for AML, fraud, program-integrity and law-enforcement investigators.
Framework tags (Agent Index) —TX-RAMP
Frameworks (vendor-claimed) —FedRAMP (In Process)
Capabilities / tasks aml, case investigation, kyccase investigation, aml, fraud detection, government compliance
Pricing (as published) Not verifiedNot published
Pricing model quotequote
Primary source https://lucinity.com/https://legal.thomsonreuters.com/en/products/clear-investigate
Last checked 2026-10-182026-10-18
Official site https://lucinity.com/https://legal.thomsonreuters.com/en/products/clear-investigate
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

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