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Trace is an AI-powered risk and compliance platform built to combat document fraud, identity manipulation, and compliance failures across financial services and enterprise ecosystems. With fraud-related losses exceeding hundreds of billions annually, organizations face growing pressure to verify customers, partners, and employees with speed, accuracy, and regulatory confidence. Trace integrates advanced machine learning, computer vision, and proprietary fraud intelligence to detect forged documents, synthetic identities, and high-risk entities in real time. Our platform goes beyond traditional KYC/AML tools by offering multi-layered verification, continuous monitoring, and global compliance adaptability—designed for high-trust industries. Key differentiators: - Fraud Prevention at Scale: Detects document forgery and synthetic identities with precision. - Comprehensive Compliance: Automated due diligence across customers, suppliers, and employees. - Plug-and-Play Integration: APIs and SDKs for rapid adoption into existing workflows. - Market Reach: Serving financial institutions, BPOs, Tech services, Retail, Fast Commerce, medium to large enterprises, and digital platforms in fast-growth, fraud-prone regions. With deep expertise in fraud detection, compliance, and AI-driven automation, Trace empowers organizations to minimize losses, meet regulatory demands, and build trust with customers and partners. We are actively engaging with investors and strategic partners who share our vision to build a global leader in fraud risk intelligence.

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Pinaki Datta is the Chairman, CPO and Co-founder of Trace.

31 people are employed at Trace.

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