AI-Enhanced Specialty Chemicals Product Development

In the specialty chemicals industry, researchers face increasing pressure to develop innovative formulations that meet high-performance standards, improve sustainability and reduce costs. Achieving these objectives requires a shift from traditional trial-and-error experimentation toward data-driven approaches. Relying solely on manual synthesis and formulation techniques is no longer sufficient; modern digital tools such as electronic lab notebooks (ELNs) and laboratory information management systems (LIMS) are essential for accelerating research and development. These platforms streamline data management, improve reproducibility and leverage artificial intelligence (AI) to predict optimal formulations, suggest enhancements and generate actionable insights from experimental results.

However, despite the potential of AI and machine learning, one of the biggest challenges specialty chemical companies face is the lack of structured, integrated data. At a recent SupplySide West conference, 70 percent of attendees cited data silos as a significant barrier to AI adoption. Without a centralized system for data organization and accessibility, companies struggle to fully leverage AI-powered analytics and automation.

The expert speaker will introduce a comprehensive R&D data management solution that addresses this challenge by unifying and structuring research data, making it fully AI-ready. This platform enables seamless integration, analysis and evaluation of experimental data using advanced machine learning tools. By optimizing data preparation, companies can unlock the full potential of AI for enhanced formulation discovery, improved search capabilities, automation of repetitive tasks and more efficient experimentation.

AI-enhanced product development not only accelerates innovation but also enhances decision-making, improves regulatory compliance and fosters collaboration across teams. As the specialty chemicals industries increasingly demand high-performance, sustainable solutions, AI-driven ELN and LIMS platforms are becoming essential for competitive advantage.

In this webinar, attendees will explore how a robust end-to-end software solution can revolutionize R&D workflows, accelerate formulation development and enhance collaboration within a unified digital ecosystem.

Register for this webinar today to discover how artificial intelligence can transform product development using specialty chemical formulations.

Speaker

Jun Liu, Senior Product Manager, Informatics Software, Revvity Signals

Jun Liu is a product marketing lead responsible for Industrial Chemistry segment marketing activities at Revvity Signals. Jun has over 10 years of marketing and business development experience in the Specialty Chemical industry and worked as a software engineer in the semi-conductor industry. He has an MBA degree and an MS in Electrical Engineering from the University of Texas at Austin, also holds a BS in Computer Engineering from Michigan Technology University.

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