Rescale Data Intelligence

Overview

Rescale Data Intelligence is an intelligence platform that creates a unified layer for all your engineering data. It automatically captures, enriches, and analyzes simulationSimulation is experimentation, testing scenarios, and making... More and modelingModeling is the creation of a mathematical or conceptual rep... More data by connecting to your existing systems of record. This addresses common data management bottlenecks, where engineering teams can waste up to 40% of their time managing data instead of designing the future. With Rescale Data, you can achieve:

• Reduce data management overhead by 50%
• Accelerate product development cycles by 8+ weeks
• Up to 30% fewer simulations through intelligent data reuse
• First insights in under a week with rapid onboarding

Rescale Data Intelligence complements your existing systems of record, turning them into systems of action that drive innovation forward.

Key Features

Rescale Data Intelligence is built on three corean individual processing unit within a multicore processor o... More pillars that deliver immediate value to your organization.

Turn Your Data into Actionable Intelligence

Rescale Assistant: Your organization’s engineering data expert. The assistant leverages AI to understand the full context of your R&D activities by connecting simulation data with information from all your integrated systems, like PLM and cloud storagea simple and scalable way to store, access, and share data o... More. It allows you to search, analyze, and visualize your complete data landscape using natural language. Ask complex questions like, “Show all wing designs tested at Mach 0.8 with better lift/drag” and get answers in seconds.

Admin Assistant: Empower administrators with a specialized Rescale Assistant directly in the admin portal. Admins can use natural language to instantly query billing data, analyze platform usage, and visualize spending trends without exporting CSVs. Ask questions like, “What was our total charge last month?” or “Show me the top 5 projects by spend this quarter” to get immediate insights and optimize resource allocation.

AI-Driven Job Summaries: Get automatic, AI-generated summaries for every simulation. These reports highlight key findings, detect anomalies, diagnose failures, and are easily shareable with non-technical stakeholders.

Connect and Automate Your Entire Data Ecosystem

Automated Metadata Extraction: Automatically capture key parameters, results, and context from over 20 of the most common engineering solvers (e.g., Ansys Fluent, LS-DYNA, Abaqus, STAR-CCM+, and more). This eliminates manual tagging, ensuring a 100% capture rate and building a rich, searchable history of your simulations.

System of Record Connectors: Seamlessly integrate with your existing systems of record. Connect directly to cloud storage like AWSAmazon Web Services (AWS) is a subsidiary of Amazon.com that... More S3Amazon Simple Storage Service (Amazon S3) is a service that ... More and Azure Blob StorageBlog storage is cloud object storage. More to browse and use files without manual transfers. Integrate with PLM systems like Teamcenter by importing metadataMetadata is data that provides information about other data,... More to enrich simulations with product context and maintain a complete digital thread.

Rescale MCP Server: A ModelA numerical, symbolic, or logical representation of a system... More Context Protocol (MCP) servera server is a computer program that provides services to oth... More that provides programmatic access to Rescale’s Platform API through clients like Claude Desktop. It supports comprehensive job management (create, submit, monitor, and control jobs) and file operations (upload, download, and manage files).

Standardize Data and Automate Workflows at Scale

• Smart Tagging & Custom Fields: Standardize data capture across your organization with AI-suggested tags and admin-enforced custom fields, ensuring all data is consistent, organized, and discoverable.
• Workflow Builder (Beta): Visually design and automate complex, multi-step engineering tasks like Design of Experiments (DOE)DOE stands for "Design of Experiments." It is a statistical ... More, parametric sweeps, and optimizationOptimization is a systematic method to determine the values ... More studies with a no-code interface.

Example Workflows

• Data Enrichment: Automatically add structure and context to simulation data, creating a centralized and complete historical record of all analyses.
• Data TraceabilityTraceability is the ability to verify the history, location,... More: Trace the evolution of a design by querying for all simulations related to a specific part number imported from your PLM, showing how performance changed over time.
• AI-Assisted Analysis: Ask the Rescale Assistant to ‘plot the lift-to-drag ratio for all simulations in Project Phoenix’ to instantly visualize results without manual data processing.
• Programmatic Job Management: Connect an MCP client like Claude Desktop to the Rescale MCP Server to submit jobs and retrieve results directly from your local environment.
• Data Standardization: Ensure consistency and accuracy across all simulation data with powerful reporting, administrative controls, and standardized templates.
• Workflow Automation: Automate complex multi-step analyses to explore large design spaces and evaluate multi-objective trade-offs more efficiently.
• AI Training Pipelines: Structure and prepare your engineering data to build, train, and deploy custom AI models that can predict outcomes and accelerate innovation.

Typical Onboarding Process

Rescale Data is designed for rapid implementation and immediate value. Our onboarding process ensures you are up and running in a week:

• Day 1: Setup: We set up Rescale Data Intelligence for your environment and configure the necessary data connectors.
• Day 2: First Automations: Your first data automation workflows go live, and contextual data begins to flow into the platform.
• Day 3: Connecting Data Sources: We connect disparate data sources to add critical context to your R&D activities.
• Day 4: Training: Your team is trained on the Rescale Assistant, running their first natural language queries.
• Day 5: First Insight Delivered: You achieve your first major insight from your newly unified data, and we establish success metrics for tracking ROI.

Frequently Asked Questions (FAQ)

What business outcomes can Rescale Data Intelligence deliver?

Rescale Data Intelligence transforms years of siloed engineering data into instantly searchable knowledge, turning trapped information into accessible insights. It enables a unified digital thread for deeper analysis, enriches data with improved traceability, provides real-time visibility for stakeholders, accelerates discoveries with AI-powered analysis, scales the development of custom AI models, and ensures compatibility with existing enterprise systems.

What is the Rescale Assistant

The Rescale Assistant is an AI-powered expert for your organization’s engineering data. For engineers, it provides a natural language interface to search, analyze, and visualize complex simulation and R&D data from across all integrated systems, like PLM and cloud storage. Administrators can access it from the admin portal, allowing them to instantly query billing information, analyze platform usage, and understand spending trends without needing to export and manually analyze data.

How is Rescale Data Intelligence different from traditional SPDM or PLM systems?

Rescale Data Intelligence is designed to complement, not replace, your existing systems. Unlike rigid, top-down SPDM systems that can take 12-18 months to deploy and struggle with user adoption, Rescale Data delivers value in under a week. It works in the background without changing engineering workflows, automatically capturing intelligence and making it accessible.

Will my engineers need extensive training to use Rescale Data Intelligence?

No. A core design principle is “zero training required.” Engineers continue to use their existing tools and workflows. Rescale Data Intelligence automatically captures data and context. The intuitive, natural-language interface of the Rescale Assistant means that if an engineer can ask a question, they can use the tool.

Our data is highly sensitive. How does Rescale Data Intelligence ensure security?

Rescale is built with enterprise security at its core. Authentication is handled via user-specific API tokens, ensuring proper access controls and security. Rescale Data Intelligence supports multi-region deployment to meet data sovereigntyA political and often legal concept that determines the juri... More requirements. All data is protected by enterprise-grade security protocols.

What types of data sources can Rescale Data Intelligence connect to?

Rescale Data Intelligence supports direct connections to major cloud object storageObject Storage is a computer data storage architecture that ... More providers, including AWS S3 and Azure Blob Storage. This allows you to browse and select input files for your jobs and workstations directly, eliminating the need for manual downloads and uploads. Additionally, you can integrate with PLM systems like Teamcenter by importing metadata files (e.g., PLMXML) to enrich your simulations with contextual product data, such as part numbers and design revisions.