# tongdun > AI\-driven decision intelligence and fraud prevention for financial services ## At a glance | Field | Value | | --- | --- | | Category | Data & Analytics | | Type | Solutions Provider | | Region | APAC | | Headquarters | Hangzhou, Zhejiang, China | | Founded | 2013 | | Stage | Growth | | Employees | 501-1000 | | Funding | Series D+, USD 246M+ raised | ## Overview Tongdun Technology is an AI-driven risk management and decision intelligence platform for financial institutions, headquartered in Hangzhou, China. Founded in 2013 by Tao Jiang (former technical director of risk management and anti-fraud at Alibaba) and Bryan Zhang, the company developed the AaaS (Analytics-as-a-Service) model for applying machine learning and big data to financial risk scenarios. The platform delivers fraud detection, credit risk assessment, and anti-money laundering capabilities through a suite of modular products spanning identity verification, behavioral analytics, graph computing, and federated learning. Solutions are deployed via API and cloud integrations, supporting the full customer lifecycle from onboarding and pre-loan screening through transaction monitoring and post-loan management. Tongdun serves over 10,000 enterprise customers globally -- including approximately 5,000 financial institutions and 5,000 internet companies -- with client retention rates around 95%. The company operates under two brand identities: Tongdun Technology in China and TrustDecision (launched June 2022) for international markets in Southeast Asia, the Middle East, and North America. Tongdun achieved unicorn status (USD 1B+ valuation) following its Series C round and has raised USD 246M+ total across seven funding rounds. ## Products & services ### Zhice \(AI Decision Intelligence Platform\) End-to-end decision automation covering identity verification, fraud detection, credit scoring, and behavioral analytics across the full risk lifecycle. **Key features:** - Retail credit, SME credit, and customer value management modules - Anti\-fraud and intelligent risk control workflows - Configurable decision policies for different risk scenarios *Target users:* Banks, consumer finance companies, insurance carriers ### Tianke \(Decision Engine\) Rule-based and ML-powered decision engine for configurable risk policy deployment. **Key features:** - Transaction, credit, mid\-loan, and merchant variants - Supports custom rule configuration and model integration - Real\-time and batch processing modes *Target users:* Risk management teams at financial institutions ### Mingmo \(Model Platform\) Risk model development, training, and deployment platform. **Key features:** - Standard scorecards and custom model development - Model lifecycle management and monitoring - Integration with Zhice for production deployment *Target users:* Data science and risk modeling teams ### Yuntu \(Knowledge Graph\) Graph computing technology for entity relationship mapping and fraud ring detection. **Key features:** - Maps relationships between individuals, devices, and addresses - Detects synthetic identities and organized fraud rings - Real\-time graph traversal for risk scoring *Target users:* Financial institutions with complex fraud exposure ### Zhibang \(Privacy\-Computing Shared Intelligence Platform\) Federated learning platform for cross-institution data collaboration without exposing raw data. **Key features:** - Multi\-party joint modeling with data privacy preservation - Regulatory compliance\-focused architecture - Supports shared fraud intelligence across clients *Target users:* Banks, insurers, fintech platforms ### ApexDB High-performance distributed KV database (Redis-compatible) for real-time risk decisioning. **Key features:** - Million\-level TPS with sub\-millisecond latency - Share\-Nothing architecture for horizontal scaling - Computation\-storage integration for risk platforms *Target users:* Platform architects and DevOps teams at large financial institutions ### Insurance\-Specific Applications Claims fraud detection, insurance pricing support, and policyholder lifecycle management. **Key features:** - Real\-time claims submission analysis using behavioral, device, and network signals - Risk scoring and customer segmentation for underwriting and pricing - Acquisition risk screening and ongoing policyholder monitoring *Target users:* P&C and life insurers, insurance carriers ## Category & focus - Subcategories: Fraud Detection, Credit Risk, Anti\-Money Laundering, Decision Intelligence, Risk Scoring - Insurance verticals: P&C Commercial, Life & Annuity, Specialty/E&S - Target customers: Carriers, MGAs/MGUs ## Notable customers - China Pacific Insurance \(CPIC\) - Sunshine Insurance - Huawei - 360 Security - VIPKID - Major Chinese state\-owned banks and financial institutions ## Links - Website: - Directory profile: - Digital insurer profile: - Global brand \(trustdecision\): --- *Last updated: 2026\-05\-18*