Rescale, a digital engineering platform built for the AI era, has officially announced the launch of Rescale Data Intelligence, which is designed to leverage modeling and simulation data for the purpose of improving efficiency and accelerating innovation.

According to certain reports, such a mechanism should tread up a long distance to transform how engineers and scientists capture knowledge, uncover new insights, automate workflows, and at the same time, deploy AI to bring new products.

 More on the same would reveal how Rescale Data Intelligence brings forth, at launch, an R&D data foundation through unified access to legacy siloed engineering data, as well as ongoing creation of new simulation data. You see, this unified data fabric, on its part, can automatically capture metadata as simulations run and synchronize with external systems of record to reach upon a traceable, up-to-date digital thread. For better understanding, this digital thread, once created, can then be queried across all systems and acted on with agents.

All in all, the whole mechaism could very well be expected to prevent knowledge loss, reduce onboarding time, and cut down on the need for any re-work.

“Our collaboration with Rescale has been pivotal in expanding access to and adoption of sophisticated modeling workflows across our organization,” said Jose Tabora, Research Fellow at Bristol-Myers Squibb. “By accelerating insights and reducing experimental burden, this partnership has elevated our capabilities in process development. We are particularly excited about the potential of Rescale Data Intelligence, whose functionality we believe will be truly transformative.”

Talk about the whole value proposition on a slightly deeper level, we begin from the promise of creating R&D data foundations through a distinctive data fabric. This translates to how the underlying technology banks upon data intelligence to help organizations eliminate costly time usually spent on searching for data and manually tagging workflows, thus creating a traceable digital thread.

Rescale Assistant can also provide engineers, across the board, instant access to cross-disciplinary analysis and reporting through natural language queries, while simultaneously accelerating decision-making.

Next up, there is a focus on tapping into agentic automation to transform legacy systems of record. Rescale’s flexible platform is essentially engineered to manufacture workflows around engineers and scientists as they work. The idea here is to support the foundation for automated repeatability.

Once the given workflows are created, simulation agents can then proactively orchestrate and automate workflows to transform data from legacy systems of record into business outcomes. This proactive orchestration, like you can guess, greatly shrinks manual setup effort, as well as compresses coordination to accelerate iteration cycles from days to hours.

Rounding up highlights would be an aspect committed to accelerating R&D discovery with AI physics methods built on simulation data. We say so because Rescale’s latest brainchild can seamlessly provide the foundation for AI Physics OS, which is positioned to dispatch an open ecosystem to rapidly train, tune, validate, and publish proprietary AI surrogate models.

All in all, the archetype in question enables rapid acceleration of physics calculations for simulation users, designers, and other key stakeholders.

Founded in 2011, Rescale’s rise up the ranks stems from delivering the world’s largest network of engineering and R&D applications, automated workflows, and computing infrastructure to enterprises. The company’s excellence in what it does can be understood once you consider it is trusted, at the moment, by customers across aerospace, automotive, energy, life sciences, semiconductor, manufacturing, and the public sector. Some of the customers Rescale serves include Applied Materials, General Motors Motorsports, Samsung, SLB, and the U.S. Department of Defense.

In case that wasn’t enough, then we must touch upon the fact that it is also backed by leading investors such as NVIDIA, Sam Altman, Jeff Bezos, Paul Graham, Peter Thiel, Microsoft, Samsung, Hitachi, University of Michigan, and others.

“The future of engineering won’t just be AI-driven, it will be agentic,” said Joris Poort, founder and CEO of Rescale. “Innovation hinges on the R&D data foundations that enable a true digital thread to fuel AI-driven discovery. At Rescale, we’re providing that foundation today through a unified data fabric, automating complex workflows through agentic automation, and helping our customers create a durable competitive advantage with digital twins and intelligent R&D assets powered by their own data.”