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TrustDecision
About the Organisation
TrustDecision is a global leader in risk decision intelligence, providing enterprises with an integrated platform for fraud prevention and credit risk management. Headquartered in Singapore, TrustDecision helps organizations across banking, lending, e-commerce and other digital platforms to make faster, more accurate and secure decisions in a complex business environment. Guided by the vision - Where Trust Powers Prosperity, TrustDecision empowers organizations with technology to make every decision secure and trustworthy, helping to strengthen trust across the digital economy.
Products and Services
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TIP Anti-Fraud Product System
TIP (Trust Intelligence Platform) delivers unified, AI-powered fraud decisioning for global markets. It connects identity, device, behavioral, transaction, and relationship signals, and enriches them with risk intelligence from OTIN, the Open Trust Intelligence Network, to power real-time decisions across account security, promotion abuse prevention, transaction risk, and chargeback management.
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Metis Credit Decision Product System
Metis (Credit Decisioning Platform) delivers unified, AI-powered credit risk decisioning for global markets. It brings together identity verification, multi-lender borrowing data, device risk, relationship graphs, and other data sources, and combines strategies, models, and AI agents into an intelligent decisioning system that spans the full credit lifecycle. Metis supports decisions and operations across customer identity verification, application fraud prevention, loan origination, credit limit and pricing, account monitoring, collections, and portfolio management.
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ARGUS Fraud Management System
Unify fraud detection, decision automation, and model testing in one platform. Connect signals across your ecosystem, deploy customized strategies using no-code tools, and adapt fast with AI-powered insights and explainable actions. 1. Build and Deploy Fraud Strategies in Minutes: Drag-and-drop interface lets teams customize logic, control execution modes (e.g., first-match, worst-match, weight mode), and trace every decision with full audit logs - all without writing code. 2. Make the Right Decisions Instantly: Automate low-risk transactions and trigger actions like block, MFA, or manual review based on dynamic rules, risk scores, and user behavioral data. Resolve escalated events with full customer context, histories, risk signals, and event timeline. 3. Detect New Fraud Using Explainable AI Models:Deploy pre-trained or custom ML models tailored for synthetic IDs, mule chains, login anomalies, and more with explainable logic, full control, and audit readiness. 4. Test and Simulate Fraud Strategy with Live Data: Optimize every strategy before going live. Simulate rule impact, compare versions, and tune performance with confidence - battle-test every rule before launch.
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PISTIS Credit Management System
From onboarding to repayment, manage credit risk dynamically across all loan stages. Screen faster, assess smarter, and respond to changes with full control and explainability - powered by real-time data and automation. 1. End-To-End Credit Risk Control Across All Products: Support consistent credit risk control across the full customer lifecycle - onboarding, underwriting, pricing strategy, and early delinquency detection. From personal loans to BNPL, manage diverse products with unified policies, explainable decisions, and seamless deployment in one platform. 2.Launch Better Credit Strategies in Days: Empower your credit risk team to run A/B tests, backtests, and shadow validations with no-code tools. Simulate risk outcomes in a sandbox before going live, adjust strategies in real-time, and scale confidently without long development cycles or vendor lock-in. 3. Spot Risk Signals Sooner, Act Before it Escalates: Track portfolio health across segments, loan types, and geographies. Identify early signs of delinquency, risk spikes, or policy inefficiencies. Use timely insights to recalibrate strategies - adjust credit limits, repricing, or user targeting in real time. 4. Configure Everything Under Your Control: Customize rules, models, and decision flows to your credit policies using intuitive tools. Instantly deploy changes, meet compliance needs, and adapt to market shifts - without waiting for development cycles. Every decision is logged, auditable, and explainable.
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THEMIS Anti-Money Laundering System
THEMIS Anti-Money Laundering System integrates AI Agent, Knowledge Graph, and Real-time Decision Engine technologies to build a next-generation intelligent anti-money laundering risk control system. This empowers the transition of AML risk management from "passive defense, rule-driven" to "active hunting, intelligent cognition." 1. Flexibly Build and Deploy Anti-Fraud Strategies: Drag-and-drop interface, no coding required to customize logic, select execution modes (first match, worst match, weighted, etc.), and track every decision with a complete audit log. 2. AI and Knowledge Graph Dual-Core Drive Accurate False Positive Reduction: Dual-core driven by "AI Agent + Knowledge Graph," the system elevates investigation focus from "individual transactions" to "relationship networks." Instead of only looking at "what" a transaction is, it also examines "who it is related to." Through knowledge graph-based association analysis, it automatically rules out transactions that appear abnormal but are actually legitimate due to normal business interactions, allowing your team to concentrate on genuine threats. 3. Millisecond-Level Real-Time Blocking and In-Flight Intervention: The millisecond-level real-time decision engine completes "cognitive-level" risk assessment during the transaction authorization phase, performing graph traversal and AI inference simultaneously within tens of milliseconds of the transaction occurring. For confirmed high-risk transactions, it enables real-time blocking; for suspicious transactions, the AI Agent generates an investigation summary in real time, transforming "post-event tracing" into "in-flight intervention" to maximize fund security. 4. AI Agent-Driven Human-Machine Collaboration Boosts Efficiency: The AI Agent acts as a "super assistant" for analysts, automating 80 percent of tedious tasks such as customer background checks, transaction flow analysis, and drafting preliminary suspicious activity reports. Analysts can focus solely on reviewing and making judgments, enabling junior analysts to perform at the level of senior experts and increasing team productivity by 3-5 times. 5. Knowledge Graph-Based Explainable AI and Evidence Chain: Leveraging the reasoning paths of the knowledge graph, the system provides a clear, visualized evidence chain (relational evidence network) for every AI decision. When regulators ask "why," the system can automatically generate reports containing complete relationship paths, key entities, and reasoning logic, making the AI decision-making process transparent and traceable - enabling easy responses to regulatory inquiries.
