Rescale Data
Rich Simulation Context, Managed Automatically
R&D teams performing engineering and scientific computing studies generate massive data sets creating complexity for data management. Rescale Data enables teams to easily manage simulations with complete visibility and control over results data and project metadata, while reducing manual work and saving time for users, leaders, and admins.
Request Beta Access or Schedule a Demo of
Rescale Data
Facilitate Engineering Collaboration and Data-Driven Innovation
Seamless
Save time searching for and managing data with engineering-centric experience with turnkey implementation and intuitive collaboration.
Flexible
Connect with existing data models and applications such as
product life cycle (PLM) simulation process and data management (SPDM).
Automated
Reduce manual steps in gathering varied results and project details with continuous and consistent metadata capture and organization.
Unified
Integrated data access for holistic visibility of all historical simulation results for multidisciplinary and meta-analysis
Integrated Planning & Management
Align Simulation Work and
Define Engineering Requirements
Plan and track project details to facilitate all related simulation studies with context on objectives, status, budget, engineering requirements, and resources.
Model-Based Collaboration
Unify R&D Silos, Connect Multidisciplinary Analysis
Share and analyze simulation results across teams, with real-time & seamless collaboration on the latest product models, unifying silos of analysis.
Digital Thread
Trace Activities and Processes with Detailed Project Context
Review and reproduce all simulation activities and details tied to product decisions with relevant context on objectives, versions, findings, and teams involved.
Workflow Automation
Streamline Complex Processes With Faster, Simplified Workflows
Perform multi-step simulation analyses and end-to-end data processing to evaluate product performance across large design spaces and multidisciplinary objectives.
AI-Assisted Engineering
Explore More Design Possibilities, Discover New Insights From Data
Enhance simulation workflows with AI/ML to evaluate design candidates faster and across broader design spaces, and use natural language search to uncover new insights across historical datasets.
Data Governance
Improve Data Quality to Improve Decision Speed and Confidence
Enforce consistency and accuracy in data management with custom fields and templates to require project context and results details are captured on every simulation.
Customer spotlight - DAikin Applied
Data Automation Streamlines Industrial HVAC Design
“Optimizing HVAC systems for peak performance in air quality and sustainability requires advanced simulation capabilities to inform our engineering decisions. At Daikin Applied, we generate vast amounts of simulation data across various components and operational scenarios. Rescale plays a unique role for us to power cloud-based simulations, enabling us to effectively capture, contextualize, and access simulation data. Rescale’s approach to data management enables us to uncover new solutions, enhance manufacturing efficiency, and accelerate cutting-edge technologies that meet the highest standards of energy efficiency and sustainability.”
– Alex Kachkovsky, Manager of Virtual Engineering Services at Daikin Applied Americas
