In a major step toward democratizing industrial AI, EOT.AI has launched Open PI2AI, a free educational and collaborative community platform designed to close the longstanding divide between Plant Intelligence (PI) and Artificial Intelligence (AI). With real-time data from SCADA systems and historians as the foundation, the platform empowers operations users, engineers, and data scientists to explore, test, and share ML models without requiring deep data science expertise. This initiative signals a new era where industrial modernization is not just driven by data scientists in corporate offices, but also by operators and engineers working directly on the plant floor.
The Problem: AI and Plant Intelligence in Silos
For decades, industrial AI and plant operations have evolved in parallel but disconnected paths:
- PI Systems (like SCADA and historians) have been owned and operated by plant engineers and OT teams.
- AI/ML solutions have largely been designed and deployed by corporate IT and data science teams.
This siloed approach has stifled collaboration, slowed innovation, and made it difficult for manufacturers to scale successful pilots into full production environments. Open PI2AI tackles this problem head-on by providing a unified platform that fosters collaboration across OT and IT domains.
What is Open PI2AI?
Open PI2AI is a free, open, and educational platform that enables users to:
- Upload and share ML models optimized for industrial applications
- Collaborate and comment on model performance and relevance
- Explore real-world use cases and deployment strategies
- Learn via tutorials, workshops, and virtual events
Importantly, the platform is vendor-neutral, unaffiliated with OpenAI or AVEVA. The acronym “PI” refers to “Plant Intelligence” and “AI” to “Artificial Intelligence,” ensuring the platform remains open and independent.
Empowering Operational Teams
“Open PI2AI empowers a new generation of innovation from the operational side of the industrial enterprise,” said Matt Oberdorfer, CEO of EOT.AI.
By giving plant operators and OT engineers the tools to run, evaluate, and iterate on ML models directly from their own data, Open PI2AI:
- Lowers the barrier to entry for industrial AI adoption
- Reduces dependence on data science teams for day-to-day ML operations
- Accelerates innovation directly on the plant floor
- Closes the gap between experimentation and deployment
Integration with Twin Sight ML Workbench
Open PI2AI is tightly integrated with EOT.AI’s Twin Sight ML Workbench, a no-code AI environment for real-time data analytics. This combination enables:
- Direct model execution on live plant data
- Visual dashboards for prediction insights
- Fast transition from testing to production
By connecting the dots between community-shared models and an intuitive execution environment, EOT.AI is building an end-to-end pipeline for industrial ML—from idea to deployment, without massive infrastructure investments.
Features of Open PI2AI
- Model Repository: Explore, upload, and share pre-built ML models for anomaly detection, predictive maintenance, process optimization, and more.
- Collaborative Feedback: Comment, review, and rate models to drive iterative improvement and community learning.
- Educational Content: Tutorials, courses, and live sessions aimed at OT professionals entering the AI space.
- No-Code Execution Path: Through Twin Sight ML Workbench, users can deploy models without writing code or modifying plant infrastructure.
Use Cases and Applications
Open PI2AI is geared toward real-world, production-grade use cases, such as:
- Predictive maintenance for rotating equipment
- Process optimization in continuous manufacturing
- Energy usage forecasting and anomaly detection
- Safety event prediction and compliance monitoring
- Quality assurance using real-time sensor data
These applications illustrate the platform’s practical value, with models tailored to specific asset classes and industrial verticals.
A Community for OT-Led AI Innovation
Beyond tools and models, Open PI2AI fosters a culture of learning and collaboration:
- OT engineers can explore ML capabilities in a sandbox environment
- Data scientists can understand the context and constraints of real plant operations
- Cross-functional teams can align more effectively on AI initiatives
This bridges a critical gap in industrial transformation—ensuring AI strategies are grounded in operational realities
Open PI2AI marks a pivotal moment for the industrial AI landscape. By uniting plant operators, engineers, and data scientists on a shared, open platform, EOT.AI is dismantling the barriers that have long limited AI adoption at the operational edge.
With integration into the Twin Sight ML Workbench, no-code execution capabilities, and an emphasis on real-world impact, Open PI2AI is more than just a repository—it’s a movement to democratize AI in industry.
As enterprises seek to scale their digital transformation efforts, platforms like Open PI2AI are poised to make industrial AI faster, more accessible, and grounded in plant-level realities.
