Atidot developed the first-ever programming language for insurance. Our DSL (Domain Specific Language) takes insurance terms and turns them into code.
Querying "premium paying policies" could involve at least a month of research or a phrase that the compiler analyzes for you. The scenario you build with LIA is human-readable, it can be compiled into flow charts and can be used to explain the model to your team, to your client and to your regulator.
There are no black boxes!
This code allows us to benchmark behavior between products, companies and channels, and model the most accurate interaction between the client and the policy.
Micro segmentation and lookalikes
Our models generate micro-segments of people who interact with insurance in the same way. The concept of lookalikes allows you to better understand your customers and their risk profiles.
We all intuitively know, for example, that not all your classmates are like you even though you are the same age and gender. Some have more or fewer children, some have more or less money, some like to travel, some take care of their parents.
If you can segment your customers according to 500-1000 parameters you will achieve the most accurate prediction of customer behavior.
Risk, profit, EV, LTV, premium, face amount
Data scientists will talk to you in their language - accuracy, precision, recall, true positive, beta errors, feature importance.
It's is all very important but it's not what you need to run your business. Atidot has built a platform dedicated to the insurance industry. We are committed to translating highly technical data science terminology into a language you can easily understand.
We can transfer prediction into lapse assumptions, premium payment patterns, under insurance amounts, product suggestions and customer simulations by EV or face amounts.
Business users can easily read our dashboards and run their business using state of the art models and technology.