InsureThing helps carriers, MGAs, and insurtechs build products, improve underwriting and pricing, and apply AI to real insurance workflows.
CA Workers' Comp Pre-Clearance combines public-data enrichment, opinionated underwriting rules, broker communication, and human review. It demonstrates how an insurance workflow can be faster without becoming a black box.
Turn a market opportunity into a product that can be filed, explained, implemented, and operated.
Connect risk appetite, pricing, segmentation, and operating practice to the performance of the book.
Use models where they improve the work, with evaluation, controls, and human judgment designed in from the start.
LLMs can accelerate the work, but the client's team still needs to know what was done, why decisions were made, and where judgment and controls matter.
Every engagement includes knowledge transfer at the level the team needs—from executive rationale and underwriting practice to analytical methods and technical implementation. The goal is a system the team can understand, challenge, operate, and extend.
InsureBench V1 is live — a public benchmark scoring model-plus-harness combinations on insurance work. The headline finding: the best model depends on the job, and a low-cost model beat the frontier on actuarial tasks at roughly 1/400th the cost.
A cheap, open, self-hostable model reads real insurance forms at ~96% for about $1.50 per 1,000. What makes it deployable isn't the model — it's the model-and-harness pairing, guided by a human expert who knows which errors are safe, which to refer, and which are dangerous.
Generative AI is reshaping underwriting. Here are practical approaches for using it without losing control.