Writing on prediction, claims, and the science behind the platform
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 4 posts · Product · Tal Knafo
Clear filtersSecurity and Data Handling for Sensitive Claim Records
Handing thousands of pages of raw medical and legal records to a third-party AI pipeline is a CISO's nightmare. Building a forecasting platform for insurance claims requires treating data as a liability and engineering for pessimism.
Designing for Traceability: Every Forecast Links to Evidence
A forecast is useless to a claims professional if they cannot defend it. Traceability requires engineering the system to link every predicted outcome directly to the source document that generated it.
Ingesting Thousands of Pages Per Claim Without Losing Signal
A claim file is a chaotic data swamp of pleadings, medical records, and emails. Extracting the structural reality of a case from this mess requires treating ingestion as an engineering discipline, not a generic text-parsing task.
Inside the Canotera Pipeline: From Case File to Forecast
Processing multi-gigabyte case files requires strict architectural boundaries. We separate the language models that read medicals from the mathematical models that calculate settlement ranges.
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