#United States #San Francisco #Digital Engineering #Rescale #AI-first

Rescale's Groundbreaking Agentic Digital Engineering

In an age where artificial intelligence is progressively becoming the cornerstone of innovation, Rescale has introduced a game-changing solution known as agentic digital engineering. This innovation is set to redefine product development across various sectors, enabling companies to streamline their research and development processes.

A Shift Toward Integrative Solutions

With the increasing complexities in product development, organizations are facing unprecedented pressures to accelerate their go-to-market strategies without compromising quality. Traditional research and development teams often work in isolation, relying on disconnected simulation, data, and AI tools that can delay timelines and inflate costs. Rescale's latest offering aims to bridge these gaps, creating a unified platform tailored for the AI-first engineering paradigm.

What is Agentic Digital Engineering?

Agentic digital engineering integrates advanced simulation-native AI agents designed to automate essential workflows within the product development lifecycle. These agents allow for smoother operations concerning input validation, troubleshooting, report generation, and hardware selection. One key advantage is that engineers can retain control of the process while leveraging prebuilt agents via a dedicated library, deployment framework, and workflow builder. Many early adopters have reported considerable reductions in simulation errors and significant time savings, as manual setups and troubleshooting become less frequent.

Transforming AI Physics and Compute Economics

Building on its success in AI-based simulation, Rescale is expanding its AI physics operating system to create a comprehensive environment that transitions simulation data into production-ready surrogate models. The platform now establishes a seamless pathway from data structuring to model training, validation, and deployment. This enhancement allows engineering teams to explore vast design spaces, evaluating thousands of iterations rather than being restricted to a limited number of manual simulations.

Surrogate models can easily be employed in third-party design tools, offering AI-driven predictions in familiar engineering environments, including production settings. Organizations employing these capabilities have seen a staggering 1,000-fold increase in simulation speed and a 90% reduction in full-stack simulation costs, bringing lengthy studies down from months to mere days.

Efficiency Through Enhanced Computing Economics

In addition to its AI advancements, Rescale has also introduced novel compute economics features. These tools provide engineering and IT leaders with detailed control over balancing speed, throughput, and cost. By utilizing curated hardware configurations optimized for budget and performance, alongside policy controls, teams can significantly reduce computing expenses and enhance simulation utilization. This removes the inefficiencies associated with manual hardware testing.

Success Story: Daikin Industries

As part of this evolution towards an AI-first ecosystem, Daikin Industries—a notable player in HVAC and industrial manufacturing—has adopted the Rescale platform. With Rescale’s cloud computational engineering and data intelligence across various R&D sites, Daikin has notably decreased the effort required for manual simulation data management. They are now steering towards broader applications of agentic digital engineering throughout their entire international R&D framework.

Daikin's Vision for AI-Driven Engineering

Satoru Takanezawa, a Senior Engineer at Daikin, expressed optimism about the alignment of Rescale's capabilities with their strategic vision, stating, "We have a vision for what AI-driven CAE engineering excellence looks like... We are already seeing productivity gains today."

The Future of Engineering with Rescale

As Joris Poort, CEO of Rescale, highlighted, the introduction of agentic digital engineering paves the way for engineering teams to leverage years of accumulated expertise, integrating it with computational engineering, data intelligence, and AI into one cohesive platform. This innovation stands to transform each engineering workflow into a matchless repository of organizational intelligence.

Rescale's newly expanded platform is now available, inviting organizations eager to innovate and capitalize on the advantages of AI-first engineering. Discover more about Rescale’s transformations at their official website: Rescale's Spring 2026 Release.