Kindbody
Reinventing fertility and family-building care through proprietary technology and high-touch clinical excellence.
FRISS is a globally recognized AI-driven fraud, risk, and compliance platform purpose-built for Property and Casualty (P&C) insurers. By 2026, its technical architecture has evolved into a hyper-connected ecosystem that utilizes a hybrid AI approach—combining expert industry rules with advanced machine learning models and network analysis. The platform's core value proposition lies in its 'FRISS Score,' a real-time risk indicator generated during underwriting, renewals, and claims processing. This score allows insurers to implement Straight-Through Processing (STP) for low-risk customers while instantly flagging suspicious activities for Special Investigation Units (SIU). Technically, FRISS excels in its ability to ingest and harmonize disparate data sources, including internal policy data, external vehicle history, social media signals, and a proprietary global shared database of fraudulent patterns. The platform is designed for deep integration into core systems like Guidewire and Duck Creek, ensuring that fraud detection is an invisible but omnipresent layer in the insurance lifecycle. Its 2026 market position is solidified by Explainable AI (XAI), which provides clear reasoning for every risk flag, ensuring regulatory compliance and operational transparency.
A numeric risk indicator generated by an ensemble of ML models and 600+ predefined industry risk indicators.
Reinventing fertility and family-building care through proprietary technology and high-touch clinical excellence.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
Agentic risk intelligence and automated underwriting for global real estate portfolios.
The intelligent property inspection platform for high-velocity real estate operations.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses graph database technology to identify hidden relationships between claimants, addresses, and vehicles.
An anonymized global database where insurers share fraud patterns without exposing PII.
Provides human-readable justifications for every risk flag using SHAP values or similar interpretability frameworks.
Real-time risk evaluation during the quote phase via API integration.
Identifies 'green' claims with extremely low risk for immediate automated payout.
Automated checking against PEP and sanction lists (OFAC, etc.) during every transaction.
Identifying claimants who intentionally cause accidents for insurance payouts.
Registry Updated:2/7/2026
Claim is routed to SIU for field investigation.
Detecting applicants using fake identities to secure low-premium policies.
Reducing cycle time for legitimate policyholders.