Question: How can I streamline the testing and validation of insurance pricing models?

If you're trying to streamline the testing and validation of insurance pricing models, Swallow is a powerful platform to evaluate. Swallow accelerates the launch of insurance products with a no-code builder for pricing model creation and management. It also includes automated testing with hundreds of test cases, real-time publishing of pricing changes and collaboration tools for stakeholders including actuaries, compliance teams and finance teams.

Another option is Conjointly, an integrated survey research platform. Although it's not focused on pricing model testing, it offers sophisticated tools for product and pricing research, including conjoint analysis and other types of survey testing. That can help you gather data to validate and improve your insurance pricing models by listening to what lots of consumers have to say.

For automating data science workflows, Obviously AI is a no-code AI platform that makes it easier to create and deploy machine learning models. It supports predictive outcomes like dynamic pricing, so it's a good choice for insurance companies trying to use AI for better pricing.

Last, Statsig is a full-stack feature management and experimentation platform that can help you accelerate experimentation velocity and optimize AI use. It's not specifically for insurance pricing, but its feature flags and analytics tools can help you manage and optimize feature rollouts, which is a key part of validating and refining insurance pricing models.