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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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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.