EOT.AI launches the Machine Learning Workbench: Turning industrial AI into real-time impact

Industrial AI just got real.

With the launch of the Twin Sight Machine Learning Workbench, EOT.AI is breaking down the barriers between data science and operations. For the first time, data teams and engineers can upload, test and deploy ML models directly into live production environments—without IT bottlenecks, delays or black-box magic.

💡 From prototype to production—fast
The ML Workbench makes it simple: upload a trained model, connect it to real-time plant data (like AVEVA PI, OPC UA, MQTT) and instantly see predictions side-by-side with actual operations. It’s model deployment at the speed of industry.

🔍 Why it matters
Too many machine learning models never leave the lab. The ML Workbench changes that by making deployment visual, flexible and operations-ready. Whether you’re preventing failures or optimizing processes, now your AI can work where it matters most—on the shop floor.

⚙️ Built for scale, ready for now
• No-code model uploads
• Native support for real-time data sources
• Full visibility of raw vs. predicted data
• Lightning-fast iteration
• Seamless export to cloud platforms (AWS, Databricks, Snowflake)

🔗 No rip-and-replace. Just results.

EOT’s ML Workbench runs directly within the Twin Fusion platform—so your team can go from data to insight in hours, not months.

✅ Ready to try it?

Let’s talk about how EOT can accelerate your AI journey.

👉 Contact us today to schedule a live demo.