Polymerize has been selected among the Top 50 startups in NTT Startup Challenge 2026 from more than 1,700 applicants. We support materials and chemical R&D through an AI-native platform, expert guidance, and co-development services.
Polymerize has been selected among the Top 50 startups in NTT Startup Challenge 2026, a startup collaboration program hosted by the NTT Group.
The program connects startups with the NTT Group to explore collaboration and create new business opportunities. In 2026, it brings together 15 NTT Group companies and welcomes startups from Southeast Asia, South Korea, Taiwan, Hong Kong, Australia, and India.
Materials and chemical R&D teams face challenges such as fragmented experimental data, knowledge held by individual researchers, and repeated trial and error when balancing multiple performance requirements. Polymerize addresses these challenges through an AI-native integrated R&D platform that supports data management, property prediction, formulation design, and process condition optimization.
Beyond the platform, Polymerize One combines expert guidance with an external network for experiments, prototyping, and testing. This co-development service also supports finished-product manufacturers seeking to develop their own materials but lacking the data, expertise, or facilities needed to move forward.
The NTT Startup Challenge website introduces Polymerize’s capabilities in experiment management, machine learning-based property prediction, and AI-guided formulation optimization, alongside its growing presence across the Asia-Pacific region.
Encouraged by this recognition, Polymerize will continue to expand collaboration with companies, research institutions, and partners. By combining AI with scientific expertise, we work alongside customers to address development challenges and turn materials innovation into new product value.
View the NTT Startup Challenge 2026 Top 50
For interviews, images, or comment, email the Polymerize communications team. We reply within one business day.
Polymerize is the AI-native platform for materials R&D. Teams use it to centralise experimental data, predict material properties, and design formulations faster, cutting failed experiments and time to market.
