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In industrial operations it's all about getting more out of the CAPEX already spent. Achieving higher efficiency means everyone needs to get data from a lot of different machines, have an understanding how these machines form lines and fit together, and holistically understand these as a group of assets that collectively can achieve more.

In production environments, labels are everywhere! Products have Serial Numbers and Lot Codes, Packages have Batch IDs and Dates. These are often critical to the processes for packaging, tracking, logging, inventory and so on.

If you work in manufacturing, you likely have gigabytes of data in CSV files—temperature logs, production counts, machine status records. The data exists and is organized, but it's not accessible to the systems that need it.

The news of PTC selling Kepware and ThingWorx to TPG for $600 million has caused a significant impact across the industrial automation sector. For anyone working in manufacturing, OT data integration, or industrial IoT, this divestment raises important questions about the future direction of these widely-used platforms, and what it means for organizations relying on them.

Getting PLC data into systems where it can be monitored, analyzed, and acted upon is essential for modern manufacturing. MQTT has become the standard for moving this data. It's lightweight, handles unreliable networks well, and excels at real-time streaming. Once your PLC data is published to MQTT, it creates a common pipeline that IT systems understand—flowing easily to cloud platforms, analytics tools, dashboards, and eliminating protocol translation headaches.

In this exciting release, we've shipped several features that accelerate development in Node-RED using AI, enable creation of AI agents using new Model Context Protocol nodes, provide application-level access controls for much more sophisticated user permissions management, and put an expert flow creator right on our homepage. It's a big one! Let's have a look.

CSV files have been recording manufacturing data since the mid-1980s, over 40 years of continuous use across every industry. Logging to databases like InfluxDB, TimescaleDB, or PostgreSQL is excellent for real-time analytics, complex queries, and large-scale operations. But many organizations still rely on CSV files for good reasons: regulatory compliance, legacy system integration, offline analysis, or simply because it's the format their teams know and trust. If you're reading this, you're likely one of them and need a reliable solution.

We've had an exciting week launching MCP and ONNX nodes, and now we’ve added something else we're really excited about: FlowFuse Expert. It helps you build flows by providing a step-by-step recipe to build an application in FlowFuse and Node-RED, in plain language.

Oh, and it was created by and is running on FlowFuse technology! Take a look:

FlowFuse released MCP nodes for Node-RED, allowing AI to directly interact with the flows you have built. These nodes let AI read sensor data, query databases, and control equipment. You use FlowFuse to collect and manage data in your flows, while AI agents determines what actions to take and why, enabling intelligent monitoring and automated control of factory and IIoT/IoT systems.

We have a VERY exciting announcement today: you can now build an MCP server and upload custom-trained AI models to FlowFuse!

EtherNet/IP is one of the most widely used industrial communication protocols for connecting PLCs, sensors, and controllers across manufacturing environments. If you're working with Allen-Bradley PLCs—whether it's ControlLogix, CompactLogix, or MicroLogix—you're using some of the most trusted automation hardware in the industry.

FlowFuse is introducing a new set of AI nodes to make it easier than ever to integrate AI and machine learning into your Node-RED workflows. In this guide, you will learn how to train an image classifier model, and use it with the new FlowFuse AI Nodes to recognise your own products, components - or anything else you can imagine.

To understand the impact Node-RED has had on industrial automation, it's useful to understand where it has come from and what has enabled its success.

FlowFuse is an industrial data platform built on Node-RED. Many Fortune 500 manufacturers and Industrial IoT companies use it to run mission-critical operations where downtime is not an option.

AI is moving fast, and with it, the tools we use to build intelligent applications. Two interesting platforms that have emerged are OpenAI's AgentKit and FlowFuse. While both offer AI capabilities, they are designed for very different purposes. Let's break down the key differences to help you decide which platform is the right fit for your needs.

Modbus RTU is one of the most widely used communication protocols in industrial automation. It allows you to read sensor data, monitor equipment status, and control devices through a simple master-slave architecture. This guide will walk you through everything you need to know to start reading and writing industrial data with FlowFuse (a platform built around Node-RED with enterprise-level capabilities).

Takt time is one of the most fundamental—and most misunderstood—concepts in lean manufacturing. Despite being widely referenced in textbooks, audits, and production meetings, many factories still calculate takt time incorrectly or treat it as a theoretical number rather than an operational control. The result is familiar: overproduction during low demand, missed deliveries during peak demand, unstable lines, and constant firefighting on the shop floor.