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CLAIR FRAML analyzes both on-chain and off-chain data using ontology-based intelligence to surface risk and compliance signals. AI-driven analytics deliver structured insights and regulatory-ready reports for AML, fraud, and risk monitoring.
Ontology-based integration of on-chain and off-chain data for consolidated fund flow analysis.
Real-time tracking of fund movements and and relationship analysis for anomaly detection.
Automated case summaries and regulatory reporting to reduce manual effort and improve timeliness.
Centralized monitoring of AML and fraud risks using large-scale, real-time transaction data.

Consolidated on-chain and off-chain data structured to support AML, Travel Rule, and supervisory data requirements.
Multi-hop asset tracing to establish clear provenance and movement of funds for AML investigations and regulatory review.
Standardized fraud and AML scenarios aligned with Travel Rule obligations and institution-specific compliance policies.
Single analytical baseline across blockchain data and internal systems to ensure consistency in monitoring and reporting.
AI-assisted generation of investigation summaries and regulatory reports to support timely and accurate submissions.
Configurable to jurisdiction-specific regulatory frameworks and investigative requirements.
Configurable to jurisdiction-specific regulatory frameworks and investigative requirements.


CLAIR is an ontology-based blockchain data intelligence platform designed for FRAML (Fraud Risk and Anti-Money Laundering) use cases. By structuring on-chain and off-chain data into a unified knowledge graph, CLAIR enables institutions to trace asset flows, detect anomalies, and generate regulatory-ready reports with AI-assisted analysis.
CLAIR is used by AML and FDS teams at banks, securities firms, and card companies; compliance teams at VASPs; investigative and supervisory authorities; and institutions preparing stablecoin or tokenized securities operations. CLAIR is deployed by investigative authorities in 10+ countries as a white-labeled solution.
CLAIR connects on-chain transaction, wallet, contract, and event data with off-chain KYC, customer, and transaction information through an ontology layer. It performs multi-hop asset tracing, wallet clustering, suspicious transaction scenario matching, and FDS rule-based detection.
CLAIR is differentiated by its ontology-driven architecture that connects fragmented on-chain data through semantic relationships, enabling institutions to understand fund flow and transaction context. Built on Lambda256's data infrastructure, CLAIR supports real-time monitoring, investigation workflows, and compliance decision-making. Global transaction tracing is supported through data partnerships such as CertiK and Crystal Intelligence.
Submit a request through the "Request a CLAIR demo" button or the contact form on the page. A demo environment and use case briefing will be provided.