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Coverage of Jemba and our work bringing industrial machine learning to the people on the shop floor — no data scientist, no rip-and-replace.

Machines Production
68.6% → 78.1%
process yield, +9.5 pts — a French materials manufacturer

Feature · August 2026

Machines Production — Software feature — by Jérôme Meyrand — 3 Aug 2026

Deploying AI without a data scientist or an IT project

France’s leading manufacturing-industry magazine covers how Jemba puts anomaly detection and process optimisation directly in the hands of production teams — connecting to existing machines, sensors, CSV files and OPC-UA without new infrastructure. In one deployment, a materials manufacturer lifted process yield from 68.6% to 78.1% (+9.5 pts), isolating the ten variables that mattered where classic Six Sigma tools had found none.

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