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Greater Than
Predicting car accident probability and Co2 impact per driver, based on AI-powered real time data analytics
- AI, Fintech
- Series A
Location
Stockholm, Sweden
Revenue size
EUR 500,000+
Year founded
2004
Funding raised
EUR 25 Million
Founders
Sten Forseke, Anders Lindelöf
Most relevant investors
Sten Forseke, Keel Capital, Carn Capital, Virali
Team size
60
Problem
Car insurance premiums calculations normally rely on historical datasets for pricing risk. This lack of instant, predictive and individualized risk understanding prevents insurers from providing individually tailored products, and does not mitigate risk.
SOLUTION
Greater Than’s AI system Enerfy use sophisticated Machine Learning algorithms based on Deep Learning layers. Enerfy provides individualized predictions on car accidents and CO2 emissions per trip, and in real-time. This enables for dynamic premiums that reflect actual risk of the individual driver of the car, no matter how many drivers per car. The Enerfy AI has been trained with driving data since 2004 and identifies real-time driving patterns with 99,98% accuracy to factual risk and level of accident probability. The Enerfy AI system and insurtech platform is protected by seven patents.
KEY CUSTOMERS & INTERNATIONAL PRESENCE
Greater Than offers their services to clients within the automotive as well as such as insurance industries including, Toyota Kinto, Zurich Insurance, MSIG, CoverCube, TRYG. Greater Than currently has activities in 108 countries.
Team
The management team behind Greater Than has extensive experience from the global automotive, insurance, fleet, telecom, fintech and consumer goods industry.
Unique selling point
Greater Than AI provides accurate loss predictions and CO2 impact per driver at minimal cost, generating a solid ROI.
Asia Connection
Greater Than is already providing predictive, AI powered motor risk insights for insurance companies in East and South East Asia, and are currently looking for distribution partners, clients, and new talents to join their team.
Pitch
