Posts on what we actually think.
Essays on conformal prediction, social inflation, and where generative AI helps and where it doesn't. Written by the team.
Showing 11 posts · Product · Tal Knafo
Clear filtersBuilding Forecasts When Comparables Report Verdicts
Legal analytics tools often fail because they treat public jury awards as ground-truth prices. Building a reliable claims forecasting system requires isolating the selection bias of trials from the reality of private settlements.
From Demo to Deployment: Onboarding a Carrier
A sales demo runs on pristine data, but real claims environments run on massive files and legacy mainframes. Transitioning a carrier from pilot to full deployment exposes the gap between software that looks good and software that works.
Latency vs Depth: Engineering Real-Time Case Analysis
Processing thousands of unstructured claims documents requires an architectural choice between speed and depth. Building a system that actually informs reserves means accepting that text extraction is slow and math is fast.
Calibration Monitoring in Production
A single point prediction for an insurance settlement is a lie. We monitor the boundaries of our predictions, ensuring a 30 percent probability of nuclear escalation means exactly 30 out of 100 cases will explode.
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