> ## Documentation Index
> Fetch the complete documentation index at: https://docs.microflowtek.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Cases

> Deployable AI runtime systems for engineering and operations workflows.

# Use Cases

Microflowtek demonstrates deployable AI systems for technical workflows. These examples show how data, documents, infrastructure, and expert knowledge can be connected inside controlled operational environments.

<Columns cols={3}>
  <Card title="Measurement Evaluation Runtime" icon="flask-conical" type="info">
    Turn recurring measurement, inspection, and test workflows into a structured runtime: ingest data from devices and legacy sources, run engineering logic, and output technical decisions or reports.

    * automated data ingestion
    * engineering-specific calculations
    * plausibility checks
    * AI-supported interpretation
    * report generation
    * secure in-environment deployment
  </Card>

  <Card title="Spare Part & Component Identification" icon="wrench" type="tip">
    Support service and operations teams with AI-assisted identification from photos, labels, documents, and incomplete descriptions, then connect findings to product data and internal workflows.

    * image-based component identification
    * matching against spare-part or product databases
    * document-based context retrieval
    * suggested next actions for service or sales
    * workflow UI for technicians and operations teams
    * optional API integration with internal systems
  </Card>

  <Card title="Edge AI Inspection Runtime with Jetson" icon="cpu" type="warning">
    Deploy local AI runtime systems on edge hardware such as NVIDIA Jetson Orin Nano for private, low-latency inspection workflows near machines, cameras, and sensors.

    * local AI inference on edge hardware
    * camera and sensor integration
    * real-time inspection support
    * private deployment without cloud dependency
    * local document retrieval
    * hybrid synchronization with cloud or backend systems
  </Card>
</Columns>

<Card title="Positioning" icon="target" type="default">
  These use cases are not generic chatbot demos. They represent Microflowtek's core capability: building deployable AI-supported runtime systems for real engineering and operations workflows.
</Card>