Complidata provides generative AI co-pilots to automate and optimize trade finance and financial crime compliance processes for financial institutions. Their solutions streamline documentary checks, sanctions screening, and transaction monitoring, significantly reducing manual effort and false positives. Clients achieve more efficient compliance operations and faster transaction processing while mitigating previously undetectable risks.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions and exporters must manually review trade documents and monitor transactions for compliance, a process that is labor‑intensive, slow, and prone to high false‑positive rates in both documentary checks and financial‑crime alerts.
Solution
Complidata delivers generative AI co‑pilots that automate trade‑document examination and financial‑crime risk assessment. The TradeSpeed module uses pre‑trained language models to perform over a thousand automated checks on letters of credit, generate discrepancy statements with UCP 600 references, and classify unstructured data into structured formats, cutting manual effort by more than 70 % while maintaining accuracy above 95 %. The Financial Crime Risk Reduction (FCRR) engine applies high‑accuracy machine‑learning models to score customers, transactions, and alerts, detect anomalous money‑laundering patterns, and predict sanction outcomes, reducing alert volumes by up to 70 % and false positives by over 50 %. Both solutions expose RESTful APIs for seamless integration with existing case‑management and transaction‑monitoring platforms, and they include continuous model monitoring to stay aligned with regulatory changes. This combination enables compliance teams to focus on decision‑making rather than repetitive data extraction.
Target Audience
Primary customers are banks, trade‑finance desks, and compliance units within financial institutions, as well as exporters that process high volumes of documentary trade and require robust financial‑crime monitoring.
Features
- Pre‑trained generative AI models on customary trade documents, delivering >95 % check accuracy
- Automated execution of 1,000+ documentary checks per transaction with ready‑to‑use discrepancy statements referencing UCP 600
- Unstructured document classification into structured data for contextual processing and downstream workflow integration
- Entity‑type specific screening against up‑to‑date sanction and watch‑list databases, achieving >70 % reduction in false positives for trade checks
- Risk‑scoring engine for customers, transactions, and alerts that prioritizes investigator workflow
- AI‑driven anomaly detection to uncover latent money‑laundering activity
- Predictive outcome analysis for sanctions and name‑screening, cutting false positives by >50 %
- Continuous model monitoring and automatic updates to ensure ongoing regulatory compliance
- Full REST API compatibility for integration with case‑management, transaction‑monitoring, and trade‑finance platforms