Risk Pricing and Actuarial Modeling

Cheetah discovers hidden patterns and identifies new variable combinations to increase risk detection for insurance products.

Risk Calculation

Cheetah merges domain expertise with collective artificial intelligence to generate beyond human calculations.

See Big Picture

Cheetah is ready to implement and can be installed with
its set-up wizard within minutes.

Easy to Implement
How it works?
Machine Learning
Cheetah is a Risk Modeling Tool with multiple advanced machine learning algorithms for today’s challenging world. Cheetah discovers hidden patterns and enhances risk detection for insurance risk modeling.
Advisory Capabilities
With ML, Cheetah includes automated & manual variable grouping, factor & interaction advice, statistical results for all factors and models, model comparison modules & automated reporting to increase user experience when building complex risk models.
Sophisticated Actuarial Modeling
Supports GLM, XGBoost, and other widely used machine learning algorithms.
Cheetah’s trademark distinctive AI technology and methodology enable insurance companies to effectively use their capabilities at maximum efficiency through automated (rather than manual) search and trial of all possibilities.
Cheetah, with its geographical visualization capability, enables the user to make decisions and run analyses on the embedded maps.
Transparency for All ML Algorithms
Lumnion has developed its own methodology to bring transparency into machine learning algorithms available in Cheetah. Results of all algorithms can be converted into base price and coefficients, allowing for transparency and operational usability.
How we are different?
User Friendly Interfaces
Transparency for All ML Algorithms (conversion into base price and coefficients)
Availability of Comperative Analysis with Multiple Algorithms (GLM, GBMs, Random Forest, Decision Trees)
In built Reporting Module
Easy to Manage Licencing System, Eliminating Physical Dongles
Affordable Hi-Tech
Contact Us
Get in touch with our team
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