Engineering teams can now put AI-first engineering into practice on Rescale — with new capabilities across agentic digital engineering, AI physics, and compute economics that streamline routine workflows, operationalize AI-assisted product development, and make smarter tradeoffs between speed, throughput, and cost.
Simulation-native agents automate the manual work surrounding every run: input validation, failure diagnosis, hardware configuration, and reporting. A complete AI physics operating system transforms simulation data into production-ready surrogate models, with inference running inside the tools engineers already use.
The results speak for themselves: 30x cost-efficiency gains, 4x more design candidates evaluated per cycle, and 40% reduction in total compute spend.
