USEReady Builds AI-Powered Materials Discovery Tool for Celanese

New York-based AI and data analytics firm USEReady has built Chemilleâ„¢, an AI-powered digital assistant for Fortune 500 specialty materials manufacturer Celanese, enabling engineers to navigate complex product portfolios through natural language queries. Launched in April 2025 after close collaboration between the two companies, Chemille addresses a critical pain point in materials-intensive industries: finding the right engineered material from vast, technical catalogues that typically require specialist expertise.

Transforming Materials Selection

Chemille allows users to search by specific properties—thermal resistance, mechanical strength, chemical compatibility—and identify alternatives with superior performance or required industry certifications. Beyond search, it provides a resource library of case studies, solution showcases, and 24/5 live engineer-to-engineer chat support, streamlining the design process significantly.

“Our collaboration with Celanese focused on building an intelligent assistant that goes beyond keyword search to deliver contextual, explainable guidance that supports faster and more confident decision-making,” said Uday Hegde, Co-founder and CEO of USEReady.

Domain-Specific AI Precision

USEReady engineered Chemille’s discovery layer with lexical and semantic retrieval, a custom Named Entity Recognition model trained on materials science terminology, unit normalization, and an explainable ranking system. This architecture ensures the AI correctly interprets technical queries where generic models fail—a small difference in terminology or measurement units can yield completely wrong results in materials selection.

Manufacturing’s Data Dilemma

Manufacturing generates abundant data locked in catalogues, datasheets, and documentation that’s difficult to search or action. Enterprise AI search investments target this gap precisely. The AI in manufacturing market, valued at $5.98 billion currently, is projected to reach $62.33 billion by 2032 as domain-specific tools like Chemille prove their value over generic solutions.

Celanese continues expanding the platform across customer engagement, product discovery, and internal knowledge access. USEReady targets similar specialised AI implementations in life sciences, financial services, and other data-intensive sectors where true domain understanding separates effective AI from mere technology.

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