Syensqo is advancing its 2025 Microsoft partnership, moving from initial MoU to scaling agentic AI across research, sales, and commercial operations to accelerate scientific discovery and business growth. The expansion leverages Microsoft Discovery to unify data and automate workflows end-to-end.

By leveraging AI via Microsoft Discovery, the company is transforming traditional workflows into an integrated system connecting experimental data, simulations, literature, and market intelligence. This dynamic approach accelerates the journey from ideation to commercialization by tightly aligning innovation with both scientific insights and customer needs.

“We are now entering a new phase of our partnership with Microsoft, focused on scaling AI agents across Research, Sales and Marketing to drive near-term growth,” said Mike Radossich, CEO at Syensqo. “By connecting customer demand to scientific development and back to market execution, agentic AI is enabling faster cycles, sharper prioritization, and tangible impact on revenue growth and business performance.”

Early results show tangible gains, particularly in developing next-generation semiconductor heat transfer fluids. Using Microsoft Discovery, Syensqo is screening millions of molecular candidates to predict key properties, including thermal performance, safety, and dielectric strength..

This AI-driven approach has the potential to accelerate research cycles, enabling more experiments and iterations in less time, while improving accuracy and reducing experimental costs through better prioritization and reduced reliance on physical testing. This approach is expected to compress innovation timelines from years to months.

In parallel, leveraging commercial insights and market data is expected to enable more targeted innovation, improved portfolio prioritization, and stronger alignment between market needs and R&I investments.

Looking ahead, Syensqo will continue to scale these capabilities across its global R&I organization, positioning AI as a long-term growth engine. By connecting R&I, sales, and marketing within a unified digital and data-driven ecosystem, the company aims to accelerate innovation, improve capital allocation, and drive sustained business performance across its markets.