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TNO Launches polySCOUT: Dutch AI Company Designs New Polymers To Specification, In Weeks Instead Of Years

Textile World 新闻2026-10-11 00:37查看原文 ↗

✦产业研判

产业概括：荷兰AI公司推出按规格设计聚合物平台

荷兰TNO于2026年10月9日推出独立AI公司polySCOUT，利用专有数据库和AI模型，根据目标性能和法规约束设计聚合物，将传统需数年的设计筛选阶段缩短至数周。该技术自2022年在TNO内部研发，TNO成为新公司股东。背景是欧盟对双酚A、微塑料和PFAS的监管持续收紧，迫使材料替代。该平台每周可合成并测量25种物理材料，向客户交付经实验室验证的候选材料而非预测结果。

原料方向中性强度弱周期长期

关键观察变量

polySCOUT商业化进展与客户采用率、欧盟PFAS限制最终范围与时间表、替代材料在纺织纤维中的性能验证、新材料成本与传统材料对比、下游品牌对合规材料的需求变化

判断边界原文仅介绍polySCOUT公司及其技术，未提及纺织服装产业链中纤维、纱线、面料、服装或流通环节的具体应用案例或影响数据。当前不能推断该技术对纺织批发市场、商户经营或租金客流有任何直接或间接影响。

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AMSTERDAM — October 9, 2026 — TNO today launches polySCOUT, an independent Dutch AI company that designs polymers to specification. Target properties and regulatory constraints go in; lab-validated candidate materials come out. Where the design and selection phase of a new polymer typically takes years, polySCOUT brings it down to weeks. The technology has been developed within TNO since 2022, and TNO becomes a shareholder in the new company. To mark the launch, the founders ring the gong at Euronext Amsterdam this morning.

Why now

Plastics are everywhere: 431 million tonnes were produced worldwide in 2024 (PlasticsEurope). Yet the molecules the industry relies on are largely a century old, and regulation is now changing faster than the chemistry. Since 20 July 2026, bisphenol A has been banned in food contact materials in the EU. The European microplastics restriction phases out synthetic polymer microparticles category by category through 2035. A broad PFAS restriction is in preparation. Every deadline means the same thing: a material has to go, and its replacement has to perform at least as well.”Forced substitution is a performance problem with a deadline,” says Michaël van der Jagt, co-founder and CEO of polySCOUT. “Conventional polymer development succeeds in five to ten percent of cases. Not because chemists lack skill, but because the search space is unimaginably large: more than 1060 possible polymer structures. We don’t make R&D faster. We make it start in the right place.”

How it works

polySCOUT turns the classical development process around. Instead of making a molecule and then measuring what it can do, the customer specifies what the material must do: for example a glass transition temperature above 105 degrees, clarity, dishwasher resistance and no bisphenol. polySCOUT’s AI models are trained on a proprietary, verified database with thousands of data points on polymer properties, built up over four years of research and manually checked back to the source. With it, the models search tens of thousands of possible copolymer combinations of industrially available, REACH-registered building blocks for materials that meet the specification, weighing safety, cost and end of life along the way. The most promising candidates are synthesised and measured in a high-throughput laboratory: 25 physical materials per week. The customer receives not a prediction, but a measured material. Because polySCOUT can select building blocks that are already REACH-registered and available at industrial scale, a candidate it finds is directly scalable. No exotic lab chemistry, but materials a producer can make in the near term.

Polymer-native, and deliberately not broad

In a year in which generalist AI materials companies in the United States and the United Kingdom raised hundreds of millions of dollars to search “all materials”, polySCOUT deliberately chooses depth. The company does one thing: poly