From the wind tunnel to the track, McLaren is proving that the future of engineering isn’t just about faster compute—it’s about the intelligent orchestration of physics and AI. In this testimonial, McLaren Automotive leaders — Chief Programme

A redesigned interface that introduces new capabilities for data intelligence, and agentic workflows, and AI Physics on Rescale’s expanded platform.

Sumitomo Precision Products (SPP), a Japanese leader in aerospace components and thermal management systems, transitioned from legacy on-premises workstations to Rescale’s digital engineering platform to overcome severe hardware limitations. Previously,

Access Rescale’s Industry-leading Support 24/7 with new AI powered knowledge base and intelligent support assistant.

AI agents can now handle routine simulation tasks while flagging key decision points that require human judgment, shifting engineering time from logistical tasks to strategic innovation.

Amogy's engineering team eliminated simulation bottlenecks and achieved 50% faster per-iteration solve times on Rescale, critical to accelerating ammonia-to-power innovation that supports decarbonization of heavy-duty power generation.

Engineers spend significant time aggregating and analyzing data instead of focusing on critical decision-making. Generative AI for modeling and simulation is changing that and unlocking new opportunities for innovation.

A new industry report for engineering and R&D leaders on how AI and modern simulation data practices are accelerating development and

Rescale Data Intelligence establishes a unified data foundation that automatically captures simulation metadata, enables natural language search across all engineering systems, and powers AI-driven workflows, turning static legacy data into intelligent,

Highlights of Rescale's platform innovations that accelerate engineering design, simulation, and discovery with measurable business impact

The convergence of AI and medical imaging is transforming healthcare diagnostics, with cloud platforms enabling researchers to create tools that detect diseases earlier and more accurately.

Engineering and R&D leaders at SC25 weren't discussing theoretical possibilities—they were sharing production deployments that reduce development cycles from months to weeks and reclaim significant engineering time from manual workflows. Here are the trends