GoKawiilLubrizol uses cross-functional 'fusion teams' and cloud AI to speed chemical R&D
Lubrizol is combining scientists, data scientists, and IT staff into joint 'fusion teams' to apply AI and cloud computing to chemical research, starting with small pilot projects. The company's Rao says this approach is being used to model new formulations, including sustainable alternatives like starch and corn-based materials, and to help scale lab discoveries into manufacturing.
GoKawiil's interpretation of the reporting above, not reported fact.
The account suggests that combining AI, automation, digital twins, and connected data could make labs more efficient at navigating the tradeoffs between performance, regulation, and cost when scaling new materials. Rao frames the real opportunity as integrating these technologies together rather than deploying any single tool, which implies an industry shift toward broader digital convergence rather than isolated AI projects. Because this content was produced by MIT Technology Review's custom content arm in partnership with Infosys, it should be read as sponsored commentary rather than independent reporting.
- Lubrizol forms 'fusion teams' mixing scientists, data scientists, and IT to align on AI projects
- Cloud computing lets Lubrizol access modeling tools without building its own data centers
- Executive Rao expects AI, automation, and digital twins to converge in labs and plants
Source: technologyreview.com — Mit Technology Review Insights, 2026-11-09
Published there as: “Innovating with AI in the special chemicals industry”
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