Industrial Copilot vs. Multi-Provider AI

The difference is not whether AI reaches TIA Portal, but on what terms: Siemens Industrial Copilot is the vendor's chat-based assistant with a fixed model and cloud inference, while a multi-provider AI leaves model, provider and the place inference runs up to you. AnyAutomation Studio is that multi-provider variant for TIA Portal V15 to V21: you bring Claude, GPT, Gemini or a local model, and the assistant sits in an engineering IDE that imports generated code over the official Openness API, compiles it and tests it.

Both write and explain PLC code with project context. They differ in model choice, data flow, version coverage and in what happens after generation.

The comparison

As of September 2026. Details on the Siemens products come from public vendor pages, the vendor's own statements are authoritative. Every tool in the field side by side: the comparison of AI tools for PLC programming.

Model choice: one or many

A vendor-bound copilot answers the model question once for every user: convenient, and a bet on one provider and one model generation. In Studio you pick per message. Four ways in: sign-in providers (Anthropic, OpenAI, xAI), cloud providers with your own API key (Google Gemini, OpenRouter, Mistral, Groq, DeepSeek and more), enterprise clouds (Azure OpenAI, Google Vertex AI, AWS Bedrock) and local servers. A tricky block gets a strong reasoning model, completion while you type a fast coder model. Which model suits which job: Which LLM for TIA Portal?

Where inference runs

Per the vendor, Industrial Copilot runs over the cloud, with an on-premise variant announced; the Eigen Engineering Agent is cloud-based. Studio can run inference entirely locally, via Ollama, LM Studio, vLLM or SGLang on your own hardware, so no block and no tag table leaves the machine. With a cloud provider you bring your own key and the request goes straight there, not through an AnyAutomation server. For protected know-how and regulated industries, that is often what an internal approval hangs on.

Agentic instead of chat only

A chat assistant answers. An agent works. The assistant in Studio drives the project through a tool set grouped by category: project tree, blocks, data types and tag tables, hardware, WinCC, EPLAN, OPC UA, Forge and unit tests. Read calls run silently, every changing call asks first unless you set that tool otherwise.

Best-of-N runs the same prompt in two to five isolated sessions at once, optionally with a different model per attempt. You compare and adopt one, the rest are discarded.

What happens after generation

This is the biggest practical difference, model aside. Generated PLC code is worth as much as the process that checks it: read the diff, import over the official API, compile against the real project, prove it with SCL unit tests on PLCSIM Advanced or a real S7 PLC, version it in Git.

Research measures that effect. The LLM4PLC pipeline put grammar checkers, compilers and verification around the model and raised the generation success rate from 47 to 72 percent, and expert-rated code quality from 2.25 to 7.75 out of 10. AutoPLC, which generates SCL for TIA Portal and ST for CODESYS and validates against the vendor IDE, reports over 90 percent compilation success on a 914-task benchmark. Agents4PLC builds the same closed loop of generation and verification with several agents. The shared finding: the model does not decide, the loop of context, compile and test does.

Honest limits

No tool takes the review off your hands. Language models occasionally invent system blocks or parameters, assumptions about cycle time and peripherals belong checked, and safety-related logic is not generated: F-logic stays manual work with formal acceptance. A diff belongs in front of every import, a test behind it. More on the limits: the guide to AI in PLC programming.

Which tool for whom

• Only TIA Portal V19 and newer, Siemens cloud approved, official vendor integration counts: Industrial Copilot or Eigen Engineering Agent.
• Legacy projects from V15 on, your own model choice or local inference, tests and Git: AnyAutomation Studio.
• Comparing both: the Studio trial runs 30 days without a credit card.

Frequently asked questions

Does AnyAutomation Studio replace Siemens Industrial Copilot?

For AI assistance in TIA engineering, yes: project context, generating and refactoring SCL, explaining code, converting STL to SCL, plus free model choice, local inference, unit tests and Git. What it does not replace is the vendor position: Siemens support and integration depth stay with Siemens.

Which TIA Portal versions does each tool cover?

AnyAutomation Studio works over the official Openness API with TIA Portal V15 to V21. Per Siemens, the Eigen Engineering Agent targets V19 to V21 and the Industrial Copilot newer versions from V19. For legacy projects below V19 that is often the first knockout criterion.

Does a multi-provider AI run without the cloud?

Yes. Via Ollama, LM Studio, vLLM or SGLang, inference runs entirely on your own hardware, with no API key and no connection to a model provider. The Siemens assistants run over the cloud, with an on-premise variant of the Industrial Copilot announced.

What is the difference between Industrial Copilot and Eigen Engineering Agent?

Two generations of the same Siemens line, not a competing pair: the Industrial Copilot is the first-generation chat assistant, the Eigen Engineering Agent the agentic successor that connects directly to the project and delivers HMI scripts and drive configurations alongside PLC code, sold through the Siemens DEX marketplace.

What does the multi-provider variant cost?

Studio plans are public and in CHF: Basic CHF 10 per month or 110 per year with AI chat included, Pro CHF 30 or 330, Pro+ CHF 50 or 550. Your own API key comes on top, or a local model with no key. 30 days free to try.