Key Takeaways
- Rescale launches agentic digital engineering platform for AI-first product development
- The platform unifies simulation, data, and AI tools for engineering and R&D organizations
- Agentic digital engineering introduces simulation-native AI agents for automating workflows
- Rescale's AI physics operating system provides a complete environment for turning simulation data into production-ready surrogate models
- Organizations can achieve significant reductions in simulation errors and compute waste
Introduction to Rescale's Agentic Digital Engineering
Rescale has announced the launch of its agentic digital engineering platform, designed to provide a comprehensive environment for AI-first product development. This platform addresses the existing gap in the industry, where most R&D teams operate with disconnected tools for simulation, data, and AI. By unifying these capabilities, Rescale's platform enables engineering organizations to bring better products to market faster.
Agentic Digital Engineering Capabilities
Rescale's agentic digital engineering capabilities introduce simulation-native AI agents that automate critical workflows across the product development lifecycle. These agents can perform tasks such as input validation, troubleshooting, report generation, and hardware selection, allowing engineers to maintain human-in-the-loop control. The platform provides an agent library, agent deployment framework, and workflow builder, making it easy for organizations to deploy prebuilt agents and reduce simulation errors and compute waste.
AI Physics Operating System
Rescale has expanded its AI physics operating system to provide a complete end-to-end environment for turning simulation data into production-ready surrogate models. The platform now offers a unified path from data structuring through model training, validation, and deployment. By complementing traditional solvers with near real-time AI predictions trained on the customer's own simulation data, engineering teams can explore a larger design space and evaluate thousands of potential iterations.
Comparison of Rescale's Platform with Traditional Methods
| Rescale's Platform | Traditional Methods | |
|---|---|---|
| Simulation Speed | 1,000x increase | Limited to manual studies |
| Design Space Exploration | Exponential | Limited to a few dozen manual studies |
| Simulation Errors | Significant reduction | High error rate |
| Compute Waste | Elimination of wasted compute | Significant compute waste |
Benefits of Rescale's Agentic Digital Engineering
Organizations using Rescale's agentic digital engineering platform can achieve significant benefits, including:
- Reduced simulation errors
- Elimination of wasted compute
- Increased simulation speed
- Improved design space exploration
- Enhanced productivity and efficiency
Bottom Line
Rescale's agentic digital engineering platform provides a comprehensive environment for AI-first product development, unifying simulation, data, and AI tools for engineering and R&D organizations. With its simulation-native AI agents and AI physics operating system, the platform enables organizations to achieve significant reductions in simulation errors and compute waste, while improving simulation speed and design space exploration. By adopting Rescale's platform, organizations can bring better products to market faster and stay ahead of the competition.