Uncensored AI for insurance fraud investigation
The claim is about arson, and the model will not discuss arson
A fraud investigator spends the day on deliberate fires, faked injuries and staged collisions. Every one of those is a topic a hosted model treats as dangerous rather than as the job.
Why the mainstream APIs fail here
Summarise a fire investigation report and the model balks at the accelerant detail. Ask it to list the ways a collision can be staged, so you can check the file against them, and it declines to help with fraud, which is precisely backwards: the list is the detection method. Investigators end up doing the pattern work from memory.
How Wild West API is used for this
The model reads the report, the photographs and the claim history together, and it will name the method rather than talk around it.
A working loop
- Mint a key for the unit with a monthly cap.
- Send the adjuster report and claim history and ask for the inconsistencies.
- Ask for the fraud methods that fit the evidence, and check the file against each.
Details are on the privacy page. Per-model prices are on /models and the pricing model is on /pricing.