Automating the first pass on vehicle insurance claims
On-device photo guidance plus damage extraction, deployed across insurers in the US and India.
- Insurance
You hand over the work that has to happen before anyone can decide: the packages to be checked against a hundred regulations, the encounters to be audited, the meters to be inspected, the collection to be catalogued. Work that is mechanical, high in volume, and consequential when it is done badly.
We hand back a system that does that first pass inside your environment, validated against your own historical data and deployed into the workflow your team already uses — along with the training to retrain it yourselves. The system ranks what to look at. Your people determine what it means.
Machines should take the work that is repetitive, mundane, and consequential — the work where attention runs out before the task does. Not the judgment on top of it. Most of this industry has that backwards.
How engagements run
Discovery against your historical data, a scoped pilot with a measurable target, then production deployment and handover. Fixed scope, defined end, your team trained to maintain what we build.
How we work →Selected work
All 3 case studies →On-device photo guidance plus damage extraction, deployed across insurers in the US and India.
Error-likelihood models that route the right encounters to a medical billing company's audit team.
A tagging pipeline that took first-pass indexing from ten people for two weeks to three researchers for two days.