How It Works

  1. Publish a GPS-X model from your desktop app to the GPS-X MaaS cloud environment
  2. Submit inputs (scenarios, parameters, boundary conditions) via API calls
  3. Run simulations on demand in the cloud via API calls
  4. Retrieve the results for reporting, analytics, optimization, and automation
Cloud Service Workflow

Key Benefits & Capabilities

  • Simple Integration
    Connect seamlessly into existing platforms and workflows with minimal setup.
  • Automate Your Scenario Testing
    Run multiple scenarios programmatically for rapid iteration and decision support.
  • No Infrastructure Overhead
    No servers to maintain, no upgrades to manage
  • Faster, More Adaptive Decisions
    Near real-time simulation insights enable quicker, more informed responses to changing conditions.
  • Cloud-Hosted Simulation Engine
    Runs the full mechanistic simulation engine in Microsoft Azure for high availability, performance, and global access.
  • On-Demand Remote Model Execution
    Trigger simulations through service calls – send inputs, run scenarios, and receive outputs quickly to support automated analysis and rapid iteration.
  • Native Integration & APIs
    Connect GPS-X Cloud Service to tools such as Databricks, dashboards, enterprise platforms, and automated workflows using secure APIs.
  • ML/AI-Ready Data Output
    Produces structured, consistent simulation outputs suitable for machine learning pipelines, advanced analytics, and digital twin development.
  • Enterprise Security & Compliance
    Supports secure data use with encryption, access controls, and API management aligned to enterprise security practices (including SOC 2–aligned controls where applicable).
GPS-X Cloud Service Project Dashboard
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