Introduction
- TL;DR: Rescale has expanded its digital engineering platform by introducing AI-driven data intelligence, combining cloud computing flexibility, data power, and AI speed to accelerate product development. The platform integrates siloed engineering data and simulation data into a unified fabric with automated metadata capture and synchronization, enabling faster and more informed R&D workflows.
Platform Overview
Integrated Cloud HPC and AI Tools
Rescale is a cloud-native high-performance computing platform that combines intelligent data management and applied AI to accelerate modeling and simulation workflows. It supports various engineering disciplines and large-scale R&D applications, serving aerospace, automotive, energy, and life sciences industries among many others. Major customers include Samsung, Applied Materials, General Motors, and the U.S. Department of Defense.
Why it matters: Streamlined HPC with AI capabilities cuts R&D cycle times and boosts innovation velocity.
AI Data Intelligence Expansion
Unified Data Fabric and Rescale Assistant
The platform’s Data Intelligence unifies siloed engineering data with continuously generated simulation datasets into a searchable data fabric. Metadata is automatically captured and synchronized across external record systems, creating a traceable digital thread accessible to all systems. Rescale Assistant enables natural language queries for instant cross-domain analysis and reporting, streamlining engineers’ decision-making processes.
Why it matters: It reduces time spent on data retrieval and evidence gathering, increasing R&D agility.
Automation and AI Physics
Workflow Automation and Surrogate Modeling
Through agent-driven automation, Rescale orchestrates repetitive workflows, reducing manual setup and compressing iteration cycles from days to hours. The AI Physics OS underpinning the platform provides an open ecosystem to swiftly train and deploy AI surrogate models, accelerating physical computations critical for digital twins applicable at all lifecycle stages.
Why it matters: Accelerated physics simulations enable faster innovation and adaptive product designs.
Global and Local Collaborations
Rescale collaborates with local partners like Taesung S&E in South Korea to provide cloud-based HPC simulation platforms, enhancing the R&D competitiveness of domestic companies. Supported by investors such as Nvidia, Microsoft, and Samsung, Rescale continues strengthening its leadership in AI-driven digital engineering globally.
Why it matters: Global-local partnerships enable broad adoption of advanced R&D technologies, boosting industrial competitiveness.
Conclusion
Rescale’s AI-driven data intelligence significantly enhances digital engineering workflows and innovation speed. The integrated data fabric and natural language query tools improve knowledge management and decision-making, while automated workflows and AI Physics OS accelerate simulation and product development lifecycle.
Summary
- Rescale fuses HPC, AI, and data management for a next-gen engineering platform
- New data intelligence capabilities unify simulation and engineering data
- AI automation and physics modeling streamline R&D with faster turnaround
- Collaboration with key partners expands global market influence
Recommended Hashtags
#Rescale #AI #DigitalEngineering #CloudHPC #DataIntelligence #Automation #Simulation #AIPhysics #Innovation
References
- “Rescale Expands Digital Engineering Platform with AI-Driven Data Intelligence” | ZDNet Korea | 2025-10-23 | https://zdnet.co.kr/view/?no=20251024001004
- “Rescale secures 115 million to accelerate innovation with AI-driven digital engineering” | Rescale Official | 2025-04-07 | https://rescale.com/ko/news/rescale-secures-115-million-to-accelerate-innovation-with-ai-driven-digital-engineering/
- “Rescale Data Intelligence Overview” | Rescale Official | 2025-10-23 | https://rescale.com/data
- “Rescale Product Details” | TSNE | 2025 | https://www.tsne.co.kr/product/%EB%A6%AC%EC%8A%A4%EC%BC%80%EC%9D%BC(Rescale)