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Get Connected. Collect Data.
Start Building. Scale It.
With FlowFuse AI.

FlowFuse is the Industrial Application Platform that connects any machine, moves data across any protocol, models it in any data platform, and operates industrial applications at scale—accelerated by an LLM‑powered copilot that uses Model Context Protocol (MCP) to connect AI directly to your live industrial data.

AI uses FlowFuse's knowledge base
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Trusted by industrial leaders driving digital transformation worldwide

10x

Faster development with our AI Copilot

50%

Reduction in scrap rate with real-time monitoring

9x

Faster Prototyping, from days to hours for back-end services

Abstract visual of AI powering connected systems and data pipelines.

Meet FlowFuse Expert

An industrial-tuned LLM uses FlowFuse's knowledge base and your data schemas to turn your plain-language description into Node-RED flows, data mappings, dashboards, and queries—so you can build faster without waiting on scarce developers.

FlowFuse does not bolt a generic LLM onto the side of your stack; LLMs are wired directly into how teams design, build, and operate Node-RED applications via Model Context Protocol (MCP). FlowFuse Expert is the AI copilot that understands your flows, data structures, and environment in real time—so it can generate and refine real, deployable artifacts instead of isolated snippets.

Learn more about FlowFuse AI
Trapped industrial data

Your Industrial Data is Trapped. Our AI Unlocks It

Large manufacturing organizations struggle to unlock the full potential of their operational data. Your current infrastructure creates information silos between IT and OT systems, preventing the scalable digitalization initiatives that drive competitive advantage. FlowFuse's AI-powered platform intelligently bridges this gap, enabling true operational excellence across all your facilities.

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Why Traditional Industrial Integration Can't Scale (And How We Use AI to Fix It)

Most large manufacturers try to solve connectivity challenges with approaches that create enterprise-wide bottlenecks. Here’s how FlowFuse provides a smarter, AI-driven alternative:

The enterprise cost of fragmented industrial architecture

Without integrated industrial data monitoring and control, large manufacturers face significant operational losses:

$50B

Annual cost of unplanned downtime across industrial manufacturers globally

800h

Average equipment downtime per year experienced by manufacturers (over 15 hours per week)

Intelligently Scale Your Industrial Applications with AI