Data Intelligence

Rescale Data Intelligence is designed to transform simulation data into structured, actionable insights, accelerating decision-making through AI-powered analysis and automated workflows. It integrates seamlessly with existing engineering processes, allowing the deployment of simulation agents that execute complex, multi-step workflows while capturing project context and embedding organizational expertise.

The platform creates a unified digital thread that connects engineering data throughout the product lifecycle, from concept to production. It automatically captures simulation metadata, surfaces context, and enriches existing systems of record without disrupting established workflows. This unification of data silos enables secure, traceable sharing, providing global teams with unified access to simulation findings, allowing engineers and scientists to act on comprehensive datasets and build intelligent workflows.

Data Connectors

Rescale Data Connectors integrate the platform with existing systems of record and tools like PLM, SPDM, and knowledge bases. They maintain data governance while enriching simulation insights, allowing for the automatic import of historical data and metadata, and ensuring bidirectional synchronization with data stores. This ensures consistency across the engineering ecosystem while maintaining security and compliance.

AI Engineering Analysis

The platform leverages AI to analyze vast amounts of simulation data, uncovering hidden insights. Features like Rescale Assistant enable natural language search across projects, generate intelligent summaries of job results, and identify patterns and anomalies that might be missed by human experts. Smart tagging organizes simulations by context, while AI-driven job summaries transform technical results into easy-to-read visuals and reports, facilitating faster decision-making.

Composable Workflows

Users can build and automate multi-step engineering processes using a drag-and-drop Workflow Builder. This allows for the combination of modeling, simulation, data processing, and AI analysis into automated pipelines that execute complex processes. Agentic workflows learn from human decisions, optimize resource usage, and provide intelligent automation while keeping experts involved in critical decisions. This enables multidisciplinary teams to collaborate effectively, scaling from parameter sweeps to design optimization and AI training data preparation.

Agentic Automation

AI agents bring engineer-in-the-loop intelligence to workflows, combining self-updating capabilities with multi-agent orchestration. These agents adapt to changing requirements and autonomously execute complex processes while keeping engineers in control, resulting in automation that evolves with practices, accelerates productivity, and embeds domain expertise directly into the platform.

Customer testimonials highlight the platform's impact on engineering productivity and data management efficiency. For instance, Daikin Applied has leveraged Rescale's capabilities to reduce manual data management time by 50%, accelerating engineering decisions and streamlining R&D cycles. The platform's robust data archiving system allows for efficient data management and cost savings.