No-Code GUI

for Edge Al pipelines

A browser-based flow editor to prototype, connect, and run Machine Learning workflows in real time – powered by the MuseBox Al Server.

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How it works

Create Edge AI workflows visually: connect inputs, AI tasks and outputs without writing code, then run and visualize results in real time.

Data Input

Connect cameras, RTSP streams, sensors or external data sources.

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No-code GUI

Build and configure the AI workflow visually, without writing code.

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AI Server

Manage inference tasks, data routing and pipeline orchestration.

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Accelerator

Run AI models on FPGA, GPU, NPU or dedicated AI hardware.

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Live Output

Visualize results or push them to dashboards, MQTT, ROS2 or APIs.

NO-CODE EXPERIENCE

Simple and Visual Creation

MuseBox No-Code GUI makes Edge AI workflow creation simple and visual. Users can build AI pipelines directly from the browser by connecting input sources, AI tasks and output nodes through an intuitive drag-and-drop interface.

Input Config

Plug-and-play support for RTSP, USB cams, LiDAR, and industrial MQTT sensors.

AI Tasks

Choose from pre-optimized models such as YOLO detection, pose estimation, OCR and so much more…

Output Management

Push results directly to WebSockets, RabbitMQ, or robotic frameworks like ROS2.

Rapid Deployment

Deploy to remote edge devices in one click, with built-in health monitoring.

Why MuseBox no-code GUI?

Accelerating development from months to days.

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Traditional Development

Write custom drivers for video ingest & sensor data.
Manually optimize AI models for specific NPU hardware.
Complex API integration and message broker management.
Tedious debugging of memory leaks in production.

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MuseBox No-Code GUI

Abstracted complexity with visual building blocks.
Faster time-to-market for industrial AI projects.
Immediate feedback across different AI pipelines.
Monitor model performance while inference is running.