MATERIALSIN, INC.
Turning manufacturing data into materials intelligence
materialsIN, Inc., a University at Buffalo spinout, enables manufacturers to use their own data to make better materials and manufacturing decisions.
The company’s platform combines artificial intelligence and machine learning with materials science expertise to uncover relationships in manufacturing and materials data that conventional analysis often misses. Those insights allow manufacturers to optimize processes and accelerate development of better-performing materials and manufacturing methods. With support from UB’s Center of Excellence in Materials Informatics (CMI), the company has strengthened its software architecture and is working with manufacturers in industries including semiconductors, advanced materials and electric vehicle (EV) batteries.
How materialsIN collaborates with UB
Accelerates R&D
Licenses Technology
Recruits Talent
Collaborates with Experts
Uses High-Tech Equipment
Obtains Funding
Receives Mentorship
CHALLENGE & OPPORTUNITY
Manufacturers struggle to use complex materials data
Manufacturers face pressure to cut costs, reduce waste and improve performance while managing large amounts of operational data from sensors, equipment, production systems and quality checks.
That data is often disorganized, sparse or scattered across systems that do not easily work together. Even large manufacturers may keep data science and materials science teams separate—making it difficult to connect what is happening in production with why a material or process is performing a certain way.
Traditional AI tools can create additional uncertainty. Black-box models and overwhelming data volumes may be untrustworthy in manufacturing environments where quality, reliability and efficiency shape key decisions.
SOLUTION & OUTCOME
Materials informatics turns data into decisions
materialsIN blends machine learning with materials science to give clients a clearer view of the data behind their materials and manufacturing challenges.
A manufacturer may need to know why certain batches are failing quality checks, which variables are causing defects, or how to reduce waste without compromising performance. materialsIN identifies complex relationships within manufacturing and materials data so companies can make better decisions faster and with greater confidence.
The company’s proprietary methodology powers a family of software products designed for recurring industrial needs, including process optimization, quality monitoring, materials selection and development. Its approach reduces the trial and error often required to solve materials and manufacturing challenges.
UB SUPPORT
FIAR awards helped faculty spinout build for scale
materialsIN grew out of research by Krishna Rajan, ScD, a SUNY Distinguished Professor in UB’s School of Engineering and Applied Sciences. To move that research toward industrial use, two consecutive Faculty-Industry Applied Research (FIAR) awards from UB’s CMI advanced materialsIN’s technology so the company could better serve manufacturers.
Phase I created a user-friendly interface for the company’s materials informatics platform, while Phase II added back-end capabilities needed for industrial use — including security, real-time data pipelines and anomaly detection. FIAR funding supported UB students who carried out key parts of the projects.
CMI has also connected the company to speaking opportunities, conference participation and business-development introductions.
materialsIN was co-founded by Krishna Rajan, E. Frits Abell, and Chitra Rajan. Krishna Rajan serves as Chief Scientific Officer, E. Frits Abell as Chief Executive Officer, and Chitra Rajan as Chief Operating Officer.
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