May 2026 Summaries

Agentic AI is transforming product development by bridging the gap between AI capabilities and engineering workflows. Many R&D teams are still figuring out how to integrate AI and agent technology into their daily processes, but a new integrated digital engineering platform aims to address this issue by introducing three key features: agent-based digital engineering, AI Physics, and Compute Economics. This platform allows for human-in-the-loop control and agent deployment throughout the product lifecycle, improving efficiency and decision-making. Companies like Daikin Industries and McLaren Automotive have demonstrated the platform's impact by significantly reducing manual simulation management and enhancing design evaluation capabilities. The AI Physics component offers a complete operational environment for surrogate modeling, allowing engineers to utilize AI acceleration techniques without extensive machine learning expertise. Compute Economics provides real-time control over cost and speed, enabling strategic resource management. The 2026 spring release of the Rescale platform showcases these advancements, emphasizing the practical application of AI and agent-based digital engineering to enhance competitiveness and operational efficiency.

Agentic AI, also known as autonomous AI, is revolutionizing product development by bridging the gap between AI capabilities and traditional R&D workflows. Rescale's upcoming 2026 release introduces a comprehensive digital engineering platform designed to integrate seamlessly with existing simulation workflows, offering features such as Agentic Digital Engineering, AI Physics Operating System, and Compute Economics. These advancements allow engineering teams to deploy simulation-native agents across the product development lifecycle, automating mundane tasks and enhancing productivity by reducing manual iterations, diagnosing job failures, and optimizing hardware configurations. The AI Physics OS facilitates surrogate modeling without the need for custom data science tools, while Compute Economics offers real-time control over computational resources, balancing speed, hardware choice, and costs. Companies like Daikin Industries and McLaren Automotive have already adopted Rescale's platform, experiencing significant improvements in design evaluation speed and cost efficiency. The platform also includes a Data Fabric for connecting disparate engineering knowledge and a Workflow Builder for structuring simulation processes, ensuring that organizations can systematically capture, structure, and act upon simulation insights, thus enhancing their competitive edge in the AI-first era of engineering.

Rescale's Spring 2026 Showcase introduces new capabilities designed to enhance the speed and efficiency of product development through its comprehensive digital engineering platform. The platform focuses on three main areas: Agentic Digital Engineering, AI Physics, and Compute Economics. Agentic Digital Engineering uses simulation-native prebuilt agents to automate manual tasks while maintaining human control, enhancing productivity by reducing repetitive work. AI Physics offers a complete operating system for surrogate modeling, transforming raw simulation data into validated models using architectures like NVIDIA PhysicsNeMo, ensuring high-accuracy predictions and faster product development. Compute Economics introduces cost and productivity controls to optimize infrastructure usage, enabling engineering teams to manage resources effectively. Notable implementations include Daikin Industries and McLaren Automotive, which have reported significant productivity gains and efficiency improvements. The platform also incorporates a Data Fabric for connected digital threads and a Workflow Builder for advanced modeling, reinforcing the integration of AI-driven processes and structured workflows for enhanced innovation and competitiveness.