N3uron

Eight factories. Eight local nodes. Connected by a single industrial data architecture. What started as a specific communication need became a scalable approach to industrial data integration across a major Spanish manufacturer’s production sites. Instead of handling each new requirement as a separate integration, the team built a shared industrial data layer across eight sites. Each factory has its own local node, while a central node consolidates data across the network. Each local node manages up to around 30,000 tags. The architecture supports MES integration, energy monitoring, visualization, reporting, alarms, historical analysis, and data distribution. Are you standardizing your integration architecture, or rebuilding it site by site?

A simple prompt. A root-cause report. Five minutes. That's what the first two videos of our N3uron Academy MCP series demonstrate, and you can try it yourself today. The result isn't just descriptive. It's actionable. On a simulated PV plant, a single prompt returned 5,675 kWh of estimated loss, a probable cause, and ranked on-site checks. No custom scripts or integration work. Your plant. Your data. Same approach. You don't need a real plant to get started. Download N3uron free with full-featured demo mode and try this yourself today. 👉 https://lnkd.in/dSgSaR4A P.S. What use case would you want to see tackled in future videos? #IndustrialIoT #N3uron

Most operators don't replace their SCADA to cut costs. LNS Research's 2025 Software-Defined Automation study found cost reduction ranked last among modernisation drivers. The top reasons operators move away from traditional architectures: flexibility, cybersecurity, and access to IT-like tools. That surprises people. It shouldn't. The reason SCADA changes slowly is not the vendor. It is the architecture. A classic SCADA stack has two layers: a connectivity platform that acquires and models data, and an HMI that visualises it. Adding a new tag requires reconfiguring both. Changing a dashboard means rebuilding both. Then you must test the integration and redeploy. Every time. That coordination overhead is where the weeks go. A 2,000-tag system migration takes 4–6 months from assessment to cutover. One renewable energy operator reduced asset onboarding from 4–6 months to 1–2 weeks, not by switching vendor but by moving to an architecture where the data model and visualisation run inside the same platform. Meanwhile, 50% of European OT environments still rely on legacy systems (TXOne, 550 companies surveyed, 2025). The gap between what those architectures can do and what modern operations require widens every quarter. The question is not which SCADA vendor is faster. It is the number of systems a change has to touch before it reaches the screen. How many does yours have? #IndustrialIoT #N3uron

An LLM can write great code, but it can’t directly pull a PLC tag, read a historian, or acknowledge an alarm. If there’s no structured way to access live operational data, your AI is just a chatbot making guesses about what’s happening in your plant. This is where things are changing. To go beyond simple chatting and start real troubleshooting, operations teams are now using Agentic AI workflows with the Model Context Protocol (MCP). Here’s one way to look at it: Traditional APIs help human programmers. MCP does the same for LLM-based clients. It acts as a standard bridge. You don’t need to build a custom integration every time you want an AI agent, like Claude Desktop, to access your SCADA data. That’s the exact gap we built the N3uron MCP Server to fill. Rather than making every system a separate integration challenge, N3uron serves as the industrial context layer, securely giving AI clients access to three main features: ↳ Tools: Letting the AI natively query tags, alarms, modules, and logs. ↳ Prompts: Setting up parameterized instructions for specific industrial workflows. ↳ Resources: Structured, discoverable access to logs, alarm states, tag values, and embedded files. AI isn’t meant to replace engineers. It should handle the boring data extraction so engineers can focus on solving real problems. Here’s a sneak peek of our upcoming N3uron Academy MCP series. Full hands-on tutorials dropping soon! P.S. What specific troubleshooting workflows should we tackle in upcoming videos?

𝗙𝗿𝗼𝗺 𝟭-𝟮 𝗪𝗲𝗲𝗸𝘀 𝗧𝗼 𝟮-𝟰 𝗛𝗼𝘂𝗿𝘀. That's how fast Clean Energy Services now onboards utility-scale BESS and solar sites with N3uron. CES required a unified data platform to connect its rapidly expanding fleet of battery storage and solar projects across the U.S., regardless of manufacturer or protocol. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: 🟧 80-90% reduction in per-site engineering effort 🟧 Over 70% lower integration costs 🟧 New sites operational weeks earlier 🟧 Edge-first architecture using Docker and Kubernetes "In short, N3uron was the only platform that combined modern software design, genuine deployment flexibility, transparent pricing, and elite support — all of which were non-negotiable for a company that has to move as fast as we do." — 𝘒𝘳𝘪𝘴 𝘡𝘢𝘸𝘢𝘥𝘢, 𝘝𝘗 𝘰𝘧 𝘋𝘢𝘵𝘢 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨, 𝘊𝘌𝘚. Check out the full case study. #IIoT #RenewableEnergy #N3uron

🙌 𝗦𝗺𝗮𝗿𝘁 𝗘𝗻𝗲𝗿𝗴𝘆 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟱 — 𝗝𝘂𝘀𝘁 𝗔𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗖𝗼𝗿𝗻𝗲𝗿! N3uron is proud to be part of Spain’s premier event on energy efficiency and digital transformation at 𝗜𝗙𝗘𝗠𝗔 𝗠𝗮𝗱𝗿𝗶𝗱 (𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟴–𝟵). This year, our Chief Strategy Officer, 👉Jose Granero Nueda, will be presenting on how industrial plants can speak directly with AI. Don’t miss this session at the #enerTIC2025 Congress. Visit us at 📍𝗕𝗼𝗼𝘁𝗵 𝗦𝟴 to discover live demos and hands-on use cases of the 𝗡𝟯𝘂𝗿𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺. 𝗪𝗵𝘆 𝗩𝗶𝘀𝗶𝘁 𝗨𝘀? 🤝 Whether you're driving digital transformation, seeking secure data flows, or connecting legacy and cutting-edge systems, discover how #N3uron is helping organizations worldwide build a smarter, more sustainable energy model. 💬 Get personalized advice from our Industrial IoT experts and see real solutions in action for connected, future-ready operations. 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗳𝗿𝗲𝗲 — don’t miss the opportunity to join us at this event! 👉 Register here: https://lnkd.in/d8emd2ew 👉 Event details: https://lnkd.in/duMyUW3f 👉 José Granero’s session: https://lnkd.in/d6SjA3Rs 👉 Learn more about us: https://n3uron.com/ See you soon at #SEC2025Madrid