EOT.AI Accelerates Industrial AI by Joining the Databricks Partner Program

EOT.AI, a leading provider of AI-powered solutions for industrial enterprises, announced that its flagship product, Twin Talk, has been included as a validated solution for the Databricks Data Intelligence Platform. This affirms what EOT’s energy and manufacturing customers have experienced: Twin Talk delivers secure, scalable, and contextualized operational data pipelines from legacy industrial historian and SCADA systems to Databricks – quickly and without complexity.

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It accelerates the ability of industrial teams to use their OT data for advanced analytics, Generative AI agents, digital twins, and real-time decision-making.

The Twin Talk integration with Databricks has been battle-tested with global energy leaders, with support for demanding, real-time industrial data workloads in mission-critical environments. With this validation, Databricks recognizes Twin Talk as a proven industrial solution for organizations looking to accelerate time-to-insight and streamline AI adoption using trusted operational data for the manufacturing and energy industries.

“This is not a new integration – it’s a mature, field-proven capability that’s been powering digital transformation for our energy customers,” said Matt Oberdorfer, CEO of EOT.AI. “The Databricks validation reinforces that Twin Talk is a leading way to connect PI, SCADA, and other OT systems into Databricks and drive machine learning value from industrial data.”

Built for industrial-grade performance, Twin Talk enables users to configure, deploy, and manage OT-to-Databricks data pipelines without writing code. The platform supports historian data ingestion in native Delta format and enriches data with asset hierarchies and metadata – eliminating the friction of traditional ETL processes.

NOV, a global leader in energy technology, is among the companies leveraging the Twin Talk and Databricks integration at scale.

“We chose EOT Twin Talk because it simplifies access to our operational data and gets it into Databricks within milliseconds – with full context,” said Staale Jordan, VP Product Information Technology, NOV. “This unlocks faster analytics and empowers our teams to build predictive models in Databricks that improve uptime and performance across our operations.”

Key Highlights of the EOT Twin Talk + Databricks Integration:

• Field Proven at Scale: Already deployed in large-scale industrial environments with global energy customers.
• Databricks Validated: Officially recognized as a trusted industrial connector for delivering operational data to the Databricks Data Intelligence Platform.
• No-Code Deployment: Simple setup and management of historian and SCADA pipelines – no custom coding required.
• Contextualized Data: Twin Talk auto-tags data with AF hierarchies and operational metadata for AI-readiness.
• Real-Time and Secure: High-frequency, enterprise-grade data delivery with built-in access controls and audit trails.

The integration is available now for all existing and new Twin Talk customers and deployable across AWS, Azure, and Google Cloud environments. It accelerates the ability of industrial teams to use their OT data for advanced analytics, Generative AI agents, digital twins, and real-time decision-making – all within the Databricks ecosystem.

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