Rescale Adds AI Agents to Speed Up Product Development Cycles
Rescale launched agentic digital engineering capabilities designed to automate routine tasks in product development, from simulation setup to hardware selection. The platform now integrates simulation tools, data management, and AI into a single environment for engineering teams across aerospace, automotive, energy, semiconductors, and manufacturing.
Most R&D organizations still operate with disconnected simulation, data, and AI tools. Engineers waste time on manual setup, troubleshooting, and data management instead of exploring design options. Rescale's new agents handle input validation, error detection, report generation, and hardware selection while keeping engineers in control of decisions.
What the New Capabilities Do
Simulation-native AI agents automate workflows across the product development lifecycle. Engineers deploy prebuilt agents from a library, configure them through a workflow builder, and maintain human oversight throughout the process.
Organizations using these agents report fewer simulation errors and less wasted compute resources. Engineers spend less time on setup and troubleshooting, compressing timelines across product development cycles.
Rescale expanded its AI physics platform to turn simulation data into production-ready surrogate models. The system handles data structuring, model training, validation, and deployment in a unified workflow. Engineers can now evaluate thousands of design iterations instead of a few dozen manual studies.
These surrogate models integrate directly into third-party design tools, bringing AI predictions into the environments engineers already use, including manufacturing settings. Customers report 1,000x faster simulation speeds and 90% lower full-stack simulation costs, compressing studies that previously took months into days.
Cost Control and Hardware Optimization
New compute economics features let engineering and IT leaders control spending while maintaining speed. Curated hardware configurations paired with policy controls reduce computing spend and increase simulation utilization across teams, eliminating manual benchmarking work.
Early Adoption
Daikin Industries, a major HVAC and industrial manufacturer, deployed Rescale for cloud-based computer-aided engineering and data management across R&D sites. The company significantly reduced manual data-management efforts and is moving toward broader agentic capabilities across its global R&D organization.
"We have a vision for what AI-driven CAE engineering excellence looks like as we advance our global R&D capabilities," said Satoru Takanezawa, Senior Engineer and Group Leader at Daikin's Technology and Innovation Center. "What excites us about this moment is how directly Rescale's new capabilities align with where we are headed."
The Broader Shift
Rescale CEO Joris Poort said engineering teams have spent decades building simulation expertise trapped in disconnected tools and manual processes. "Today we are giving those teams a platform to turn their institutional knowledge into compounding intelligence through agentic digital engineering," he said.
The platform integrates computational engineering, data intelligence, and AI so each workflow builds on the previous one, continuously converting R&D expertise into organizational intelligence.
Learn more about how AI agents and automation are changing engineering workflows, or explore resources on AI for product development.
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