AGENTIC AI FOR ENGINEERING
Agent-Accelerated Innovation for
Any Digital Engineering Workflow
Multiply productivity and innovation capacity with agentic digital engineering on Rescale. Learn how R&D and IT teams can deploy AI agents with specialized engineering skills to handle operational work, while human experts focus on discovery and the decisions that matter.
Agent-Accelerated Innovation. Proven Results.
3x
Increase in engineering productivity with agentic engineering workflows
McLaren Automotive
75%
Reduction in simulation time, opening capacity for more design iterations
McLaren Automotive
50%
Reduction in time and effort spent on manual data-management tasks
Daikin Applied
Scale from Point Agents to End-to-End Agentic Workflows
Ground Agents in Program Context
Give every agent the solver conventions, baselines, and acceptance criteria your team already knows, using Agent Profiles that carry that context into every interaction.
Automate the Full Simulation Lifecycle
Let agents handle requirements interpretation, setup, troubleshooting, and reporting under human oversight, so engineers focus on the decisions that matter.
Govern Every Agent Action
Deploy agents with defined autonomy levels, approval gates, and full traceability, so engineering leaders control exactly how and when agents act.
The Best Way To Explore Rescale Is Hands On.
Agentic AI Engineering Capabilities
REQUIREMENTS-TO-SIMULATION PLANNING & SETUP
Turn Requirements Automatically Into Simulation-Ready Jobs
Stop waiting on method owners to translate requirements into a simulation plan. Rescale’s agents interpret requirements, prepare geometry and meshing, configure boundary conditions and solver setup, and benchmark workload-specific compute, turning what used to take hours of manual setup into a guided, repeatable process engineers can trust.
WORKFLOW AUTOMATION & TROUBLESHOOTING
Diagnose, Fix, and Resubmit Jobs
Without the Wait
Catch wrong load setups and bad references before submission instead of six hours into a run. When a job does fail, Rescale’s troubleshooting agents diagnose the failure from log files in seconds, propose a fix, apply it with human approval, and resubmit, iterating until the job runs, so engineering time shifts from decoding cryptic solver errors to reviewing decisions.
AUTOMATED DATA ANALYSIS & REPORT GENERATION
From Simulation Results
to Decision-Ready
Reports in Minutes
Ask for a summary of every job run last month, a PPT of simulation results and recommendations, or an executive summary with historical comparisons, and get standardized KPI summaries, auto-generated visualizations, and solver-aware formatting back in minutes instead of hours of manual compilation. Rescale Assistant queries and understands your simulation data, so engineers spend that time on analysis, not report-building.
GOVERNANCE, APPROVALS, & TRACEABILITY
Deploy Agents
With Confidence
Not Compromise
Agent execution is aligned to Rescale identity and access control, with roles and permissions governing who can create, modify, publish, and run agents. Every agent operates under an explicit autonomy level (observe, recommend, act with approval, or act within bounds), so engineering leaders decide exactly how much independence an agent gets. Every agent action, decision, and tool execution is logged and inspectable, giving security and compliance teams a real audit trail instead of log archaeology.
Explore Agentic AI Engineering Resources
How McLaren Automotive is Operationalizing AI Physics & Agentic Digital Engineering
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…
Watch Video
Rescale at GTC 2026: The Agentic Era Begins with NVIDIA, McLaren and Rescale Leading the Way
What the biggest trends of 2026 mean for data and AI leaders and how Rescale is putting agentic engineering and AI physics to work in product development.
Read More
Rescale Introduces Agentic Digital Engineering to Accelerate AI-First Product Development
Learn how simulation-native agents, a complete AI physics operating system, and novel cost controls help R&D teams move from manual workflows to automated agentic digital engineering.
Read MoreReady to begin your Digital Engineering journey?
Fill out the form to request a demo with an expert from our team.