Drag to program, code to extend. FlowGen AI combines a visual flow editor with C# code fusion, reducing the barrier to industrial control logic development by 80% while retaining full code freedom for professional engineers.
Core Capabilities
A WYSIWYG node-based flow editor that breaks complex control logic into draggable functional nodes—complete standardized device control flows without writing a single line of code.
Seamlessly embed C# / Python code nodes within visual flows, breaking through the limits of pure drag-and-drop to meet complex algorithm, high-performance computing, and custom logic needs.
Built-in mainstream industrial hardware driver protocols supporting unified access and command dispatch for AGVs / AMRs, robotic arms, cameras, PLCs, and sensors without middleware.
Import third-party .NET DLLs and call external algorithm libraries, vision SDKs, or communication protocol stacks directly from flow nodes, greatly extending platform capabilities.
An AI model trained on industrial scenarios provides intelligent completion, error-fix suggestions, and logic optimization in code nodes, reducing development barriers and improving delivery efficiency.
Built-in device connectivity testing, I/O status monitoring, and real-time log console with single-step breakpoint debugging—compressing device integration from days to hours.
Through the FlowGen AI platform, engineers can issue movement commands, monitor sensor status, and quickly adjust logic in real time.
The video demonstrates millisecond-level response and precise path dispatching to multiple AMRs in a lab environment.
From its architectural inception, FlowGen AI chose a pure Web approach, freeing industrial control software from traditional C/S installation packages, environment configuration, and versioning nightmares, so every engineer can work anytime, anywhere, on any device.
FlowGen AI runs in the browser. No local software installation, no development environment or runtime dependencies. Open the browser to start projects, write flows, and dispatch device commands.
Supports Windows / macOS / Linux. Tablets and industrial PCs work too. Line engineers debug on-site while tech leads review remotely—same project, synced in real time.
During flow execution, each node's real-time status, path, and variable values are dynamically highlighted on the canvas—engineers can intuitively locate current execution nodes and outputs without digging through logs.
Built-in account and permission system with fine-grained roles for programmers, operators, and read-only observers. Multiple engineers can log in simultaneously and collaborate on the same factory project.
Drag-and-drop flow programming significantly reduces secondary development and maintenance burden. Flow node semantics are clear enough for non-programming process engineers to read and adjust control logic.
Update non-core flow modules without stopping equipment. Built-in version snapshots allow one-click rollback to any historical version, eliminating high-risk downtime for on-site program iteration.
Junior engineers build flows with drag-and-drop; senior engineers refine algorithms with code. FlowGen AI enables both to collaborate in the same project.
No coding required. Drag nodes from the toolbox and connect them to build control logic. Ideal for standardized device control, flow orchestration, and conditional branching.
Embed C# / Python code blocks in flow nodes, call external DLL algorithm libraries for high-performance computing and custom logic. AI completion boosts efficiency.
Hardware Compatibility
Built-in mainstream industrial communication protocols and brand device drivers covering AMRs, robotic arms, industrial cameras, PLCs, and IoT sensors—no driver development required, ready out of the box.
Import third-party .NET DLL files directly into your project, call their APIs from code nodes, and seamlessly integrate vision SDKs, ML models, or proprietary algorithm libraries into your control flow.