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A few of the production systems we have built — what we shipped, in what timeframe, and what it changed for the business.
A top-20 European bank was running fraud and risk decisions on a nightly batch — leaving an 18-hour window of exposure. We replaced the batch with a streaming feature platform and an online inference layer, with full lineage from decision back to source events. The team now ships new risk policies in days instead of quarters.
A multi-line insurer needed to compress claims cycle times without sacrificing audit. We built a document intelligence pipeline plus an operator console for first-notice-of-loss — confidence-scored extraction, deterministic routing, and human review where it mattered. Routine claims now resolve in minutes; complex claims reach the right adjuster on the first hop.
A specialty manufacturer was losing weeks of production a year to unplanned downtime. We built edge telemetry, a lakehouse, and forecasting models — surfacing failures 11 days ahead and integrating directly into the work order system. Maintenance shifted from reactive to scheduled, with full traceability per asset.
A specialty retailer was overstocking long-tail SKUs and stocking out on hits. We built a hierarchical forecasting system tied to the merchandising and replenishment workflows — improving in-stock rates while reducing working capital tied up in slow movers.