Rescale Assistant

Overview

The Rescale Assistant is an AI-powered engine integrated directly into the Rescale platform, designed to streamline interaction with engineering and simulation data. It uses natural language queries to eliminate manual data mining and complex searches. The Assistant provides engineers and administrators with immediate, contextual insights into simulation results, platform usage, and costs.

Key Features & Capabilities

For Engineers: Accelerate R&D and Discovery

  • Unified Search Across Engineering Data: Instantly find and analyze job results, files, and historical data using simple, conversational questions. The Assistant understands the context of your engineering data, allowing you to ask questions like, “Show me all wing designs tested at Mach 0.8 with a lift/drag ratio greater than 15,” and receive precise, actionable results in seconds.
  • AI-Driven Job Analysis and Summaries: For every job run on the platform, the Assistant can generate a concise summary that extracts key performance indicators (KPIs), highlights critical findings, detects performance anomalies, and diagnoses the root cause of failed simulations by analyzing output and log files. This saves hours of manual log file review and makes it easy to share critical outcomes with non-technical stakeholders.
  • Enrich Simulations with PLM Context: Seamlessly connect your Product Lifecycle Management (PLM) data to your simulations. The Assistant can read and interpret PLMXML files, allowing you to ask questions about part numbers, design revisions, and materials directly within the job setup. You can then apply this metadata to your jobs as custom fields, creating a robust and searchable digital thread.

For Administrators: Streamline Operations and Control Costs

  • Conversational Financial Analysis: Gain immediate visibility into Rescale spending across any dimension, including by user, project, workspace, or hardware type, without exporting CSVs. Ask direct questions like, “What was our total charge last month?” or “Show me the cost of all failed jobs in the ‘Project Titan’ workspace,” and receive instant answers with clear visualizations.
  • Correlate Costs with Operational Data: The Assistant can join billing data with job metadata, enabling powerful correlated queries. Understand the cost of failed jobs, track spending by specific hardware types, or analyze the financial impact of jobs with certain tags, all through a single, intuitive interface.
  • Unified Platform-Wide Intelligence: From a single entry point in the admin portal, you can access and analyze billing data, job history, and user activity across your entire organization, providing a holistic view of platform usage and efficiency.

How It Works: Functionality & Examples

The Rescale Assistant functions as a conversational interface to your entire Rescale data ecosystem. It interprets natural language questions and translates them into queries across various data sources, including job metadata, simulation results, financial records, and connected PLM systems.

Engineer-Focused Functionality

Engineers can interact with the Assistant to rapidly locate historical data, analyze results, and connect their work to a broader product development context.

  • Functionality: Advanced Search and Discovery
    • The Assistant can filter jobs based on multiple criteria, including software, hardware, job status, performance metrics, and custom metadata. This allows engineers to pinpoint specific past experiments without manually searching through job lists.
    • Example Query: “Find simulations from the ‘Project Phoenix’ campaign that used ANSYS Fluent and had a convergence failure.”
  • Functionality: AI-Powered Result Analysis
    • Beyond finding jobs, the Assistant can analyze the output and log files of a completed job to provide summaries, extract key performance indicators (KPIs), and diagnose failures.
    • Example Query: “Summarize the key findings from the job named ‘wing_analysis_v3’ and check for solver errors.”

Administrator-Focused Functionality

Administrators can use the Assistant to monitor platform usage, control costs, and gain a holistic view of R&D operations.

  • Functionality: On-Demand Financial Reporting
    • The Assistant provides immediate access to spending data, allowing admins to track budgets and understand cost allocation without exporting and manipulating spreadsheets.
    • Example Query: “Show me the cost breakdown by user for Q3 2025.”
  • Functionality: Correlated Cost and Usage Analysis
    • By joining financial data with operational job data, the Assistant can answer complex questions about the efficiency and ROI of platform usage.
    • Example Query: “What was the total cost of failed jobs last month, and which projects were most affected?
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