EOT.AI, a leading provider of AI-driven solutions for industrial enterprises, announced that its flagship platform, Twin Talk, has achieved validation as an official solution for the Databricks Data Intelligence Platform. This milestone confirms what EOT’s energy and manufacturing clients have long experienced: Twin Talk enables secure, scalable, and contextualized operational data pipelines from legacy industrial historian and SCADA systems to Databricks rapidly and without complexity.

By integrating Twin Talk with Databricks, industrial teams can now accelerate the use of operational technology (OT) data for advanced analytics, Generative AI agents, digital twins, and real-time decision-making. This seamless connectivity removes traditional bottlenecks, allowing organizations to unlock faster insights and more actionable intelligence from their industrial environments.

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The integration has already been battle-tested with global energy leaders, supporting demanding, real-time industrial workloads in mission-critical settings. With this official validation, Databricks recognizes Twin Talk as a trusted solution for companies aiming to streamline AI adoption and reduce time-to-insight using reliable operational data.

“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.”

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

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Among the companies leveraging this integration at scale is NOV, a global energy technology leader. “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: Successfully deployed in large-scale industrial environments with global energy customers.
  • Databricks Validated: Officially recognized as a reliable industrial connector for operational data.
  • No-Code Deployment: Configure and manage historian and SCADA pipelines effortlessly.
  • Contextualized Data: Auto-tags data with AF hierarchies and operational metadata for AI readiness.
  • Real-Time and Secure: High-frequency, enterprise-grade data delivery with access controls and audit trails.

The integration is now available to all existing and new Twin Talk customers across AWS, Azure, and Google Cloud. It empowers industrial teams to leverage OT data for analytics, AI, and digital twin initiatives, driving faster, data-driven decisions across energy and manufacturing operations.

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