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Polymerize releases the interactive AI agent feature 'Pixa' to accelerate data and AI-driven materials R&D - Making data and AI utilization more commonplace.
Polymerize has officially released "Pixa," the industry's first AI agent on its package-type Materials Informatics (MI) platform. "Pixa" is integrated into our unified MI platform, "Polymerize Labs," and consistently supports researchers through natural language interactions, from advancing machine learning and addressing data challenges specific to materials R&D, to guiding platform operations and resolving minor "stumbles" that arise in daily tasks. In addition to practical consulting support from a team of experts with advanced domain knowledge in materials development, we aim to create an environment where the use of data and AI naturally permeates the research field as part of "daily operations," allowing for a focus on idea generation and core business activities by leveraging the AI agent "Pixa," available 24/7 for consultation.
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![[Exhibition and Lecture Information] High-Performance Materials Week | 5th Sustainable Materials Exhibition](https://image.mono.ipros.com/public/news/image/1/2112762/IPROS5519543979386058134.jpg?w=280&h=280)
[Exhibition and Lecture Information] High-Performance Materials Week | 5th Sustainable Materials Exhibition
At our booth, our members with extensive experience in the chemical industry will respond to your concerns and questions regarding the use of MI, tailored to your challenges and interests. ▼ MI General Consultation Desk Staff with deep knowledge of the chemical industry will answer your individual questions and concerns about MI utilization. Pre-registration here: (https://calendly.com/contact_jp-polymerize/polymerize-clone-1?month=2025-11) ▼ Lecture Information "Pathway to Sustainable R&D — A Data-Driven Approach to Utilizing Recycled Materials" We will introduce Polymerize's AI-driven factor analysis and optimization methods for formulations and manufacturing conditions to address the challenges of quality variability among suppliers and lots when using recycled materials. Date and Time: November 14 (Friday) 13:30 - 14:15 Venue: Next Tech STAGE Seminar Room A Seminar Registration: https://biz.q-pass.jp/f/11224/mw_seminar_apply_tokyo25/seminar_register
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POLYMERIZE has started providing the all-in-one material development support service "Polymerize One."
POLYMERIZE has launched "Polymerize One," an all-in-one material development support service that combines three elements: support for material development through materials informatics, an MI platform, and a global network for prototype and evaluation testing, along with domain support from MI specialists. = Three Elements and Features of "Polymerize One" = 1. Integrated MI Platform By utilizing the capabilities of Polymerize Labs, data management, analysis, and AI analysis are conducted seamlessly, enabling more efficient and speedy achievement of goals. 2. Global Network for Prototype and Evaluation Testing Prototyping and evaluation can be conducted at our partner research institutions, allowing companies without their own experimental facilities or testing environments to generate experimental data and advance the MI workflow. 3. Domain Support from MI Specialists Throughout the entire project, we provide technical consulting for achieving goals, including the planning of approaches for MI-driven development and project management. With support from experts in material development and MI, faster and more accurate material development becomes possible.
AboutPOLYMERIZE
ポリマライズ日本法人
Innovating material development with AI.
Our company provides a materials informatics platform, PolymerizeLabs, and consulting services for the chemical and materials industries. PolymerizeLabs reflects the unique R&D processes and expertise specific to materials development, enabling seamless data management and AI utilization without the need for programming knowledge. It is the only all-in-one materials informatics platform in the industry that ensures AI prediction accuracy even with limited or sparse data. Based on a data management infrastructure specialized in organizing various materials development data and a highly flexible AI engine equipped with a diverse range of machine learning algorithms, we offer data-driven development processes across various materials fields. We contribute to addressing resource shortages, high cost structures, compliance with environmental regulations, alleviating supply chain bottlenecks, and responding quickly to market changes faced by all R&D departments, thereby enhancing corporate competitiveness and establishing a new standard for R&D processes in the AI era.





