Not a chatbot bolted on the side. Predictive insight and faster decisions from the data you already collect — with a human accountable for anything that touches equipment.
AI + Ignition means turning the data your plant already produces into answers you can act on — predicting failures, finding hidden capacity, and cutting scrap. The AI speeds up how the system gets built and how insight surfaces; the control logic that runs your equipment stays standard, deterministic, and engineer-owned.
Every gateway is already collecting more than any person can read. The value isn't more dashboards — it's the questions those dashboards can't answer on their own:
The nervousness around "AI in industrial" is usually about one specific thing: an autonomous model writing to live tags that move real equipment, with no one accountable. That is not how we work, and it's worth being precise about the difference.
We apply AI in two places — the build loop (accelerating how the Ignition application is developed) and the insight loop (surfacing patterns in your data). In both, a senior engineer designs, reviews, tests, and commissions the result. The system that ships is the same deterministic Ignition logic it has always been.
MCP (Model Context Protocol) is the open standard that lets an AI assistant work with real systems under controlled permissions. There are now several ways to bring it to Ignition. Here's the straight version — including where our own module fits and where it doesn't.
| Attribute | IA MCP Module (official) | Community servers | Artek MCP Server |
|---|---|---|---|
| Runs where | Native, inside the gateway | External + WebDev bridge | External + WebDev bridge |
| Availability | Early Access now; full 1.0 in 2026 | Free today | Free, documented |
| Licensing | Bundled in Enterprise Integration Suite | Open source, varies | Open, no license tier needed |
| Coverage | Scripting engine, native | ~35–45 tools typical | Broad — every exposed interface |
| Safety posture | Platform-managed | Depends on setup | Reads first, writes gated |
| Best for | The long-term standard | Experimentation today | Depth + guidance, right now |
Our honest read: IA's native module will be the right long-term home for most teams once 1.0 ships. Until then — and for teams that want the deepest coverage and a safe pattern today — ours is the most complete option available, and we help you use it without putting equipment at risk. When IA's module lands, we help you move to it.
No. We use AI to accelerate development and to surface insight from your data. Anything that writes to live equipment is gated, reviewed, and commissioned by a senior engineer. Nothing runs autonomously against live production equipment.
Access is read-first by default, writes are explicitly gated, and integrations are scoped to only what a task needs. Your data stays in your systems, and the deployed logic is standard, deterministic Ignition.
Not to get value from your data today. IA's native MCP Module is bundled with the Enterprise Integration Solution Suite and ships fully in 2026. We can deliver predictive analytics and AI-assisted tooling on your current Ignition footprint now, and align with IA's native module as it arrives.
Concretely: which asset is trending toward failure, where latent capacity is hiding, which process conditions drive scrap, and which questions about your operation you can now answer in seconds instead of days.
An open standard that lets an AI assistant securely read from and act on real systems and live data, instead of guessing from training data. For Ignition, it means an assistant can work with your gateway's real tags, history, and tools under controlled permissions.
Talk to an engineer about one question your current dashboards can't answer. Twenty minutes.
Talk to an engineer →