Data Fabric & Engineering Intelligence
Connect, Structure, and Leverage
Your Engineering Data Sources
Turn scattered simulation, product, and enterprise data into a governed, AI-ready foundation. Learn how Rescale captures engineering context at the source and builds a digital thread for the agents, AI Physics models, and people who need answers fast.
Connected Data. Compounding Results.
90%
Of post-processing workflows automated with complete, AI-ready metadata labeling
Rimac Technology
50%
Reduction in time and effort spent on manual data-management tasks
Daikin Applied
96%
Reduction in data-management time, from three hours to five minutes a week
Global Automotive Supplier
From Systems of Record to Systems of Action
Connect Without Disruption
Unify PLM, SPDM, cloud storage, and simulation data into one fabric that captures context at the source, without ripping out or replacing the systems your teams already rely on.
Enrich and Govern Automatically
Capture metadata, apply consistent tags, and enforce governance policies as engineers work, building a traceable digital thread without manual tagging or added steps.
Power Every AI Initiative
Turn structured, governed data into the foundation that Rescale Assistant, Agentic Engineering, and AI Physics all draw from, so every AI investment compounds instead of starting over.
The Best Way To Explore Rescale Is Hands On.
Data Fabric & Engineering Intelligence Capabilities
CONNECTED ENGINEERING DATA & DIGITAL THREAD
Connect Your Entire
Engineering Data Ecosystem
Achieve a unified view of your simulation data across the product lifecycle. Rescale’s Connectors bring data sources like SharePoint, Amazon S3, and Azure Blob into one fabric, so every engineering data source becomes reachable from where the work happens. Your systems of record stay in place while Rescale adds the missing intelligence layer, giving you end-to-end traceability from design to outcome and a digital thread that connects every decision across teams and disciplines.
METADATA ENRICHMENT & AUTOMATED TAGGING
Capture and Contextualize Insights Within Existing Workflows
Capture rich metadata for every simulation activity and build a foundation for broad analysis. Rescale’s automations extract and tag simulation parameters, results, and project context in real time, organizing them in a flexible data lakehouse that establishes queryable context for every collaborator. Smart tagging and custom fields apply consistent labels at the moment of execution, transforming raw datasets into actionable knowledge without manual work after the fact.
DATA GOVERNANCE, LINEAGE & TRACEABILITY
Ensure Trusted Results,
Grounded in Your Data
Establish a secure and compliant framework for all your simulation data. Rescale’s automated and consistent metadata capture gives continuous insight into every simulation activity and user, while maintaining end-to-end lineage of engineering decisions and the data behind them. Granular permissions and policy controls standardize how data is captured, accessed, and shared, so critical R&D data stays secure, auditable, and ready to stand up to scrutiny.
AI-POWERED SEARCH & DISCOVERY
Find Insights,
Fuel Innovation
Unleash the power of your simulation data to make faster, more informed decisions. Rescale’s comprehensive data management, combined with AI-powered search, gives you complete visibility into historical simulation results, so you can pinpoint relevant information instead of re-running old studies. Rescale Assistant lets you ask questions in natural language and explore your simulation results conversationally, with every answer grounded in your own data and traceable back to its source.
AI-READY DATA FOR AGENTS & AI PHYSICS
Build the Data Foundation
Production AI Depends On
Unstructured, inconsistent data is the single biggest blocker to scaling agentic engineering and AI Physics. Rescale structures project context and organizes engineering knowledge into a shared intelligence fabric that keeps full traceability from raw simulation data to final decisions, turning years of unused data into governed, AI-ready datasets. This same foundation feeds Rescale Assistant, supplies the context agents draw on, and provides the curated, versioned datasets that AI Physics needs to train and validate surrogate models, so every AI initiative builds on the same trusted data instead of starting from scratch.
Explore Data Fabric & Engineering Intelligence Resources
How Rescale Data Connectors Harness Historical Engineering Datasets to Unlock Simulation Breakthroughs
Connect, find, and use external engineering data more easily on Rescale. Engineering data rarely lives in one place. Simulation inputs, reference documents, program files, and supporting context often sit across…
Read More
Rescale Introduces Agentic Digital Engineering to Accelerate AI-First Product Development
Learn how simulation-native agents, a complete AI physics operating system, and novel cost controls help R&D teams move from manual workflows to automated agentic digital engineering.
Read More
The Future of CAE Workflows as told by Industry Innovators
Engineers predict that AI and automation will transform their productivity, but first need to solve foundational data challenges.
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