Accelerating Polymer Formulation with AI

Challenge

A $3 billion / Year in revenue and $10B Market Cap global leader in polymer solutions faced a pressing need to reduce R&D timelines for rubber sealant formulations. Traditional methods, which relied on trial-and-error experimentation, often spanned months, delaying customer projects and increasing costs. The company sought a faster, more efficient way to develop formulations that balanced performance, cost, and scalability.

Solution

The company adopted a custom-trained AI Formulation Agent, leveraging its proprietary data to predict optimal polymer formulations. This AI-driven solution enabled high-throughput computational simulations and optimization, drastically accelerating the R&D process.

Results

• Rapid Predictions: The AI system generated over 1,000 formulation predictions in seconds, providing a comprehensive view of potential solutions.
• Optimized Formulation: The AI identified the best-performing rubber sealant formulation that met technical specifications while optimizing for cost and commercial scalability.
• Accelerated Time-to-Market: Tasks that traditionally required 3-6 months were completed in just 3 days, reducing development time by over 95%.
• Enhanced Customer Responsiveness: Faster turnaround times allowed the company to complete customer projects weeks ahead of schedule, strengthening their market position.

Key Metrics

• 1,000+ predictions analyzed in seconds
• Development cycle reduced from 3-6 months to 3 days
• Over 95% reduction in R&D time
• Improved customer project delivery timelines by several weeks

Replicability

This success story highlights how an AI Agentic approach can revolutionize R&D for other companies in chemicals, materials, and industrial sectors. By leveraging AI to optimize formulations and streamline workflows, businesses can achieve faster innovation cycles, lower costs, and enhanced customer satisfaction.