Overview
FraudKeeper is an insurance fraud detection and prevention platform for insurance carriers, targeting underwriting and claims workflows across Latin America and beyond. Founded in 2019 by Daniel Gabas and Leandro Rios in Rosario, Argentina, the company delivers SaaS modules that combine machine learning, business rules, and generative AI to identify fraudulent activity in real time.
The platform includes modules for claims fraud triage (FK-Claims), underwriting risk assessment (FK-Underwriting), forensic document analysis (FK-Forensic), and pre-configured line-of-business playbooks (FK-Express). It integrates with core insurance systems such as Guidewire and Duck Creek, offers REST API and webhook connectivity, and can be deployed on-premise, in private cloud, or in public cloud. Document processing leverages OCR and large language model capabilities, and explainable AI (XAI) output supports regulatory compliance requirements.
In February 2022, Charles Taylor acquired a majority stake in FraudKeeper, providing capital and partnerships to expand beyond LATAM into the USA, Europe, Asia, and Africa. The company reports serving 50+ insurance carriers across Mexico, Guatemala, Chile, Argentina, and Uruguay, with claimed results including a 40% reduction in claims management time and an average ROI period of six months.
Products & Services
FK-Claims
Real-time automated triage and suspicion scoring for insurance claims. Validates and fast-tracks legitimate claims while flagging potentially fraudulent ones for investigation. Uses machine learning for pattern detection and network analysis across claims data. Includes an automated payment workflow for confirmed genuine claims.
Key Features
- Real-time suspicion scoring per claim
- ML-based pattern and network analysis
- Automated payment workflow for cleared claims
Target Users: Claims adjusters and fraud investigation teams at insurance carriers
FK-Underwriting
Risk assessment module for the underwriting stage, integrating real-time external data to identify inflated risks and fraudulent networks before policy issuance.
Key Features
- Real-time external data integration
- Fraudulent network identification
- Premium leakage mitigation
Target Users: Underwriters at insurance carriers
FK-Forensic
Forensic analysis of images and PDF documents submitted with claims. Detects digital manipulation, metadata anomalies, document cloning, and altered images. Uses OCR and LLM capabilities for data extraction.
Key Features
- Digital manipulation detection
- Metadata anomaly analysis
- OCR and LLM-based data extraction
Target Users: Claims investigators and fraud analysts
FK-Express
Pre-configured fraud detection playbooks organized by line of business (auto, health, property, etc.) for rapid deployment without lengthy configuration cycles.
Key Features
- Ready-made rulesets per insurance line
- Fast deployment
- Standardized fraud detection workflows
Target Users: Carriers seeking rapid onboarding
Identity Validation and AML Screening
Integrated PEP (Politically Exposed Person) screening, identity validation, and Anti-Money Laundering checks for regulatory compliance in the insurance workflow.
Key Features
- PEP screening
- Identity validation
- AML compliance support
Target Users: Compliance teams at insurance carriers
GenAI Operational Assistants
Generative AI-powered assistants that support claims adjuster decision-making and fraud investigation workflows.
Key Features
- AI-guided adjuster recommendations
- Investigation workflow support
- Generative AI integration
Target Users: Claims adjusters and fraud investigators
At a Glance
- Founded
- 2019
- Headquarters
- Rosario, Santa Fe, Argentina
- Employees
- 11-50
- Funding
- PE-Backed
Category & Focus
- Category
- Claims Technology
- Subcategories
- Fraud Detection Underwriting Risk Assessment Document Forensics AML/KYC Compliance
- Insurance Verticals
- P&C Personal P&C Commercial Health Specialty/E&S
- Target Customers
- Carriers
Customers
- 50+ insurance companies across Latin America (company-reported)
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Last updated: 2026-06-13