Ai-accelerated discovery of tio2-free whitening and opacity systems
Polymerize offers an AI-native materials-informatics platform to accelerate the discovery of TiO2 replacements. By modeling whiteness and opacity of candidate chemistries, the platform enables the development of food-grade, non-nano systems matching TiO2 performance.
Overview
Polymerize's AI-accelerated platform revolutionizes the search for titanium dioxide (TiO2) alternatives in the whitening and opacity domain. Using an AI-native materials-informatics platform, it combines data-driven modeling with an integrated lab prototyping network to discover and validate TiO2-free systems. This solution is designed to match the performance of TiO2 at practical dosages for both coating and mass whitening applications, ensuring compliance with regulatory standards for food-grade materials.
Technical specifications
The platform models key properties such as whiteness and opacity by assessing candidate mineral and organic whitener chemistries, alongside particle size, morphology, and formulation. Through an active-learning design-of-experiments (DoE) approach, it identifies optimal non-nano systems that meet stringent criteria including vegan, kosher, and halal standards. Lab prototyping of shortlisted candidates includes thorough checks of opacity, whiteness, dispersion, stability, and sensory attributes, providing a comprehensive validation of the proposed materials.
Technology readiness level
Currently at Technology Readiness Level 3, Polymerize's platform is in the active research and development phase. It has proven its capabilities in other domains, reducing R&D timelines significantly and enhancing model accuracy. The platform is poised to advance further through ongoing partnerships and scale-up efforts, with a clear path toward higher readiness levels.
About Polymerize
Polymerize is an AI-native platform specifically engineered to transform materials research and development. It operates as a system of intelligence that integrates a unified data foundation, domain-specific AI models, and explainable insights to accelerate the discovery, development, and scaling of new materials. By digitizing experimental workflows, the platform replaces manual, spreadsheet-based processes with a centralized, data-driven backbone. The solution features over 35 domain-guided models trained on polymers, chemicals, and advanced materials, which allow R&D teams to predict material properties, optimize formulations, and gain scientific explanations for AI-driven recommendations.
The platform serves global R&D teams across industries such as automotive, specialty chemicals, coatings, and packaging, helping them reduce failed experiments and shorten go-to-market timelines. By capturing and leveraging institutional knowledge, Polymerize enables organizations to turn years of trial-and-error into targeted innovation, ensuring that data from past experiments informs future research. Customers use the platform to achieve significant ROI through increased discovery speed and streamlined operational forecasting, with security compliance standards like SOC 2 and ISO 27001 integrated to protect sensitive intellectual property. Founded in 2020 and headquartered in Singapore, the company maintains a global presence with offices and strategic collaborations spanning Asia, Europe, and the United States.
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