Rescale for Data & AI Leaders
Build the Data and AI Foundation Engineering Demands
Data and AI leaders are under pressure to deliver capabilities that keep engineering teams productive. Rescale gives you the governed, AI-ready platform to meet those demands without building it yourself.
Challenges Facing Data and AI Leaders
Fragmented Engineering Data
Simulation data lives across teams, tools, and storage systems with no consistent structure or context. Without a unified data foundation, AI initiatives stall and engineers waste hours searching for work that already exists.
AI Adoption Without the Right Controls
Rolling out AI across engineering requires auditability, configurable autonomy, and clear accountability. Most platforms were not built for the complexity of engineering workflows, leaving data leaders to enforce governance manually.
Protecting Engineering IP
Data breaches and compliance gaps are unacceptable risks for engineering organizations. Leaders managing data and AI initiatives need systems that enforce security standards without creating friction for the teams that depend on it every day.
Benefits for Data & AI Leaders
The Business Impact of AI-First Digital Engineering
Build the Foundation for Production AI
Engineering AI initiatives stall when simulation data is fragmented. Rescale captures and structures it automatically at the point of execution, giving data leaders the AI-ready foundation to move from pilot to production.
Govern Without Slowing Down
Governance that works with engineers, not against them. Rescale enforces data and security standards automatically within existing workflows, so leaders get the control it needs without becoming a bottleneck for engineering teams.
Reduce Administrative Overhead
Rescale’s AI agents and automated policies handle routine data tagging, job monitoring, and compliance enforcement at scale, freeing IT and engineering operations for higher-value work.
The Platform Built for Data and AI Transformation
From data capture to AI deployment, Rescale gives data and AI leaders the infrastructure to support every stage of the engineering AI lifecycle with enterprise-grade control.
AI-Ready Data from Day One
Replace manual data pipelines with automated metadata capture and tagging to capture key results and project context. Give engineering teams instant, searchable access to historical results while giving your organization the structured data AI programs require.
Specialized AI Agents, Under Your Control
Deploy AI agents with configurable autonomy levels, full audit trails, and human-in-the-loop approval for every critical action. Rescale gives data and AI leaders the framework to roll out agentic workflows with confidence.
AI Methods Informed by Your Workflows
Rescale’s complete AI Physics Operating System turns existing simulation datasets into production-ready AI models without building custom data pipelines from scratch.
Use Cases for Data and AI Leaders
From AI rollout to data governance, Rescale gives data and AI leaders the platform to drive digital transformation and deliver new capabilities engineering organizations are asking for.
AI-Ready Datasets
Build the structured simulation data foundation that makes production AI possible across engineering programs.
Governance & Traceability
Enforce consistent data standards, access controls, and audit policies across every team and simulation environment.
Platform Integration
Connect and enrich fragmented point solutions with a single governed platform that syncs with existing systems of record.
“Rescale enables our cloud-first strategy to flexibly equip our engineering teams with intelligent computing solutions they need while IT can easily govern a secure, compliant, and policy-driven environment across all of our regions and divisions.”
Katrina R. Redmond
Senior Vice President & CIO, Eaton
Data & AI Leader Resources
Guide to AI-First Engineering
Learn how leading teams are shifting to AI-first engineering by connecting simulation data, AI Physics workflows, and agentic automation to accelerate development cycles and improve engineering productivity. What you’ll learn:…
Read More
Agentic Engineering: How AI Agents Can Accelerate Advanced Modeling and Simulation Workflows
AI agents can now handle routine simulation tasks while flagging key decision points that require human judgment, shifting engineering time from logistical tasks to strategic innovation.
Read More
Modernizing Simulation: Unifying Compute, Data & AI for Faster Innovation
Transform the CAE Landscape & Empower Engineering to Accelerate Innovation In this webinar, you will learn about key topics such as:
Read More