POLYMERIZE and KNiT Partner to Advance R&D in Material and Chemical Industries through Image Analysis

Partnership Announcement Between POLYMERIZE and KNiT

On February 2, 2026, POLYMERIZE LLC and KNiT Inc. have announced a strategic partnership to leverage advanced image analysis for acceleration in research and development (R&D) within the materials and chemical industries. This collaboration is designed to utilize unstructured data, specifically from microscope images, to enhance decision-making and optimize processes in R&D departments.

The Need for Advanced Analytics in R&D

In recent years, the application of Artificial Intelligence (AI) in the materials and chemical sectors has risen. The integration of Materials Informatics (MI) and Process Informatics (PI) into research practices marks a significant shift. However, there exists a wealth of unutilized image data, such as Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM) images, as well as photos of materials. Despite being critical, the quantification and utilization of these unstructured images in R&D workflows have remained a challenge.

Many research teams rely on manual assessments by experienced researchers, leading to issues such as the subjectivity of image analysis, increased workload, and inadequate data quantification. To address these challenges, this partnership aims to merge KNiT's high-speed, precise image feature extraction capabilities with POLYMERIZE's no-code platform that facilitates advanced AI data analysis. The goal is to develop a solution that effectively supports the entire workflow from image feature extraction to AI modeling and optimal material design.

Value Proposition of the Collaboration: Image Analysis AI × Data Management

The collaboration between POLYMERIZE and KNiT will enable a multitude of benefits:

1. Assetization and Reproducibility of Image Data: KNiT's AI technology will allow precise and fast quantification of image data, securing reproducibility across analyses. This transformation will convert previously underutilized image data into valuable resources.

2. Accelerated R&D through Structural and Property Correlation Insights: By integrating the image feature data extracted by KNiT into the Polymerize Labs™ platform, researchers can explore the relationships between manufacturing processes and the resulting material properties, thus advancing the understanding of how conditions affect outcomes like strength and quality.

3. Data-Driven Decision Making for Shortened Development Cycles: Artificial intelligence will recommend subsequent experimental conditions based on quantifiable data derived from images. This contributes to significant reductions in the number of trials needed to achieve desired material properties and improves manufacturing efficiency.

Anticipated Use Cases

- Dispersion and Aggregation Evaluations: Quantifying the dispersion and aggregation of particles in fillers and additives, correlating with strength and conductivity.
- Adhesive Residue Assessments: Quantifying adhesive residue post tape removal based on image data, leading to optimal formulation ratios and application conditions.
- Degradation and Failure Mode Estimation: Classifying breach patterns from failure images to inform better materials design for durability.

Executive Statements

Kunal Sandeep, CEO of POLYMERIZE, emphasized the importance of utilizing image data for achieving data-driven R&D, stating, “By partnering with KNiT, we can fully harness previously untapped image data as a powerful MI variable, significantly enhancing our clients' materials development speed.”

Masataka Kubonishi, CEO of KNiT, noted, “Image data holds numerous insights crucial to performance, and GeXeL can convert these images into actionable features. This collaboration will embed previously unused image data into MI and PI processes effectively.”

Future Directions

Both companies will focus on jointly developing client relationships and providing solutions, aiming to produce concrete success cases by blending image analysis with MI. They will also host collaborative seminars and share technical insights to foster data utilization in the material and chemical industries.

For more details on their upcoming webinar titled "Breakthroughs in Material Development Driven by Image Analysis AI and MI" scheduled for March 24, please visit their platform.

Company Overview

POLYMERIZE LLC

- Location: Minato, Tokyo, Japan
- CEO: Kunal Sandeep
- Services: Development and provision of the data management and AI analysis platform "Polymerize Labs™"
- URL: https://polymerize.io/

KNiT Inc.

- Location: Chuo, Osaka, Japan
- CEO: Masataka Kubonishi
- Services: Development and provision of the image analysis AI solution "GeXeL"
- URL: https://knit-itech.co.jp/

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