Kirontech
AI-powered fraud, waste, and abuse detection for health insurers and medical payers
Overview
Kirontech is a claims and payment risk intelligence platform serving health insurers and medical payers across EMEA and Latin America. The company uses AI and machine learning to detect and manage fraud, waste, and abuse (FWA) in health insurance payments, helping insurance teams identify and act on payment integrity risks in real time. Founded in 2015 by Omar Chebli and Tom Nygren, Kirontech addresses a significant market problem: nearly half a trillion dollars are lost annually through inefficiencies and fraud in healthcare.
The platform connects to existing claims systems and analyzes claims operations data combined with deep medical domain expertise. Kirontech's AI system is trained on more than 80 million reviewed records to identify clinical and financial risks through advanced pattern analysis. The company combines machine learning algorithms with expert validation to detect fraud and payment errors at scale.
Kirontech has demonstrated strong market traction with customers including Bupa, NHS, AXA, Asisa, and other leading health insurers. Clients typically achieve 4-10x ROI, with documented cases including EUR 2.5M+ in annual savings on unnecessary procedures and GBP 500K-1M in fraud prevention per engagement. The company raised USD 3.25M in Series A funding from investors including Plug and Play Insurtech, Leap Ventures, B&Y Venture Partners, and Start Ventures.
Products & Services
The Heat Map
Kirontech's diagnostic assessment tool that maps clients' claims operations across five interconnected dimensions: financial, patient, brand, control, and data. This assessment provides the foundation for optimization and identifies key risk areas.
Key Features
- Multi-dimensional claims operations analysis
- Visual risk mapping
- Diagnostic insights across financial, patient, brand, control, and data dimensions
Target Users: Health insurance claims teams, medical payer operations managers
AI-Enabled Risk Platform
Core SaaS platform that connects to clients' existing claims systems and leverages machine learning trained on 80+ million reviewed records to identify clinical and financial risks through pattern analysis.
Key Features
- Seamless integration with existing insurance systems
- ML-based detection of clinical and financial anomalies
- Expert validation layer for high-confidence flagging
- Real-time risk scoring and alerts
- Pattern recognition across large claims datasets
Target Users: Medical underwriters, claims analysts, payment integrity teams
Claims and Payment Risk Intelligence
Full-service advisory combining claims operation diagnostics, risk analysis, and actionable recommendations for payment integrity improvement.
Key Features
- Comprehensive claims operations review
- Clinical and financial risk analysis
- Remediation roadmaps and action plans
- Implementation support and ongoing optimization
Target Users: Health insurance executives, claims directors, payment integrity officers
At a Glance
- Founded
- 2015
- Headquarters
- Cambridge, United Kingdom
- Employees
- 11-50
- Funding
- Series A
Category & Focus
- Category
- Claims Technology
- Subcategories
- Fraud Detection Payment Integrity Risk Intelligence
- Insurance Verticals
- Health
- Target Customers
- Carriers, TPAs
Customers
- Bupa
- NHS (National Health Service, UK)
- AXA
- Asisa
- Multicare
- Southern Cross
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Last updated: 2026-06-14