TeXperience develops AI-driven control systems for extrusion manufacturing, enabling manufacturers to reduce development time, cut production costs, and scale new products more efficiently. Its system combines smart sensing with a machine learning control layer that retrofits to any extruder, creating a self-optimizing line that adjusts parameters in real time.
By linking real-time ingredient profiles, machine parameters, and product targets in a closed-loop architecture, TeXperience reduces reliance on trial-and-error R&D and expert intervention. The platform is designed to support sustainable, low-waste manufacturing aligned with the goals of Industry 5.0
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TeXperience Climate Tech relevance
TeXperience helps decarbonize food manufacturing by reducing waste, cutting energy use, and accelerating the scale-up of low-carbon products. Its AI-driven control system retrofits to any extruder, turning it into a self-optimizing line that adapts in real time. Manufacturers typically cut ingredient waste by ~25%, avoiding the emissions tied to unused raw materials and food loss. Optimizing parameters like screw speed and temperature also lowers electricity use by 10–15% per kg of output—reducing Scope 1 and 2 emissions. TeXperience also speeds up development of plant-based meats, which emit up to 89% less CO₂ than animal products, cutting scale-up time from months to weeks. By combining process efficiency with climate-aligned product enablement, TeXperience delivers real impact in the transition to a more sustainable food system.