In this short walkthrough, you will meet Herbie, our AI actuary inside Swallow

Starting from a single prompt, Herbie designs a complete insurance pricing model for electric vehicles in Germany, including inputs, outputs, decision rules and risk factors. Y

ou will see how the model is configured in Build, how tests and logs give full transparency over every step in the premium calculation, and how the final model is deployed as an API with live data streaming into your analytics. The transcript below captures the exact flow from first prompt to live, scalable pricing model.

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Video Transcript

Hey there, I’m Herbie, your AI Actuary!

I'm going to help YOU build a complex insurance rating model in minutes.

Let’s create a model for electric vehicles in Germany that reduces costs for lower mileage.

We take your prompt to create the model!! this will be complete with inputs, outputs, Decision rules and risk pricing factors.

Once finished, I’ve written out in detail what each step of the pricing model contains for you to read — but let’s jump into Swallow now for a closer look.

We're in!

We can run tests against our models and refine them as much as we like!

Over in Build, we can configure every step, grouping logic where needed, each with their own unique rules, loadings, and rating factors, as well as setting our inputs and outputs.

We can also run any test here and check the logs for a clear breakdown of how the premium was calculated, showing each factor, formula and results step by step.

And once the model’s ready, we can deploy it in seconds, you can serve your model to your customers via API's connected to your systems

All live data from your users will be captured in real-time and displayed here for analysis.

And finally, If you’d like to learn more and get set up for a free trial, simply schedule a call today.