EOT.AI Joins Databricks Partner Program to Drive Industrial AI Innovation

EOT.AI Joins Databricks Partner Program to Drive Industrial AI Innovation

EOT.AI, a pioneering provider of AI-powered solutions for industrial enterprises, has announced that its flagship product, Twin Talk, is now a validated solution within the Databricks Data Intelligence Platform. This milestone marks a major step forward in accelerating industrial digital transformation by enabling manufacturers and energy companies to securely connect and operationalize data from legacy systems through a streamlined, high-performance integration.

This validation recognizes what many of EOT.AI’s global energy and manufacturing clients have already experienced firsthand: Twin Talk delivers secure, scalable, and contextualized operational data pipelines from legacy historian and SCADA systems into Databricks—efficiently and without unnecessary complexity.

Empowering Industrial Data Intelligence

The integration between EOT.AI’s Twin Talk and Databricks has been battle-tested in some of the world’s most demanding industrial environments, including deployments for major global energy companies. These mission-critical operations require handling of vast, real-time industrial data streams with reliability and speed—a challenge that Twin Talk was specifically engineered to meet.

By earning Databricks validation, EOT.AI has achieved formal recognition of Twin Talk as a trusted industrial data connector, optimized to accelerate time-to-insight, enhance AI adoption, and simplify access to trusted operational data for energy and manufacturing organizations worldwide.

“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 solution for connecting PI, SCADA, and other OT systems to Databricks—helping industrial organizations extract real machine learning value from their operational data.”

Industrial-Grade Performance Without Complexity

Built with industrial-scale demands in mind, Twin Talk enables users to configure, deploy, and manage OT-to-Databricks data pipelines without writing a single line of code. The no-code platform allows teams to ingest historian data in native Delta format while automatically enriching it with asset hierarchies and metadata—a process that replaces cumbersome ETL (Extract, Transform, Load) workflows.

This design philosophy ensures that even teams with limited data engineering resources can rapidly operationalize and analyze their data. The result is a significant reduction in deployment time, faster insight generation, and seamless integration with Databricks’ data intelligence, analytics, and machine learning tools.

Proven Impact Across Global Energy Operations

One notable example of the Twin Talk and Databricks integration in action comes from NOV, a global leader in energy technology. NOV has deployed Twin Talk at scale to streamline its operational data workflows.

“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 of Product Information Technology at NOV. “This unlocks faster analytics and empowers our teams to build predictive models in Databricks that improve uptime and performance across our operations.”

This endorsement reflects a growing trend in industrial AI adoption—companies are prioritizing platforms that make data more accessible, contextualized, and ready for advanced analytics without heavy infrastructure investments or data migration risks.

Key Highlights of the EOT Twin Talk + Databricks Integration
  • Field-Proven at Scale:
    Already deployed in large-scale industrial environments for leading global energy and manufacturing clients.
  • Databricks Validated:
    Officially recognized by Databricks as a trusted and proven connector for streaming operational data to its Data Intelligence Platform.
  • No-Code Deployment:
    Simplifies setup and management of historian and SCADA data pipelines—eliminating the need for custom coding or deep technical expertise.
  • Contextualized Data for AI:
    Twin Talk automatically tags and structures data with AF hierarchies, asset metadata, and operational context—making it ready for machine learning and AI applications.
  • Real-Time, Secure Data Delivery:
    Ensures high-frequency, low-latency data transfer with enterprise-grade security controls, access management, and audit trails.

These capabilities combine to deliver end-to-end visibility into industrial operations, allowing companies to move from reactive data analysis to predictive and prescriptive intelligence within the Databricks environment.

Accelerating the Industrial AI Revolution

With this validation, EOT.AI and Databricks are enabling industrial organizations to unlock the next wave of data-driven innovation. Twin Talk’s integration is now available to all new and existing customers and can be deployed seamlessly across AWS, Azure, and Google Cloud environments.

The solution empowers industrial teams to leverage their operational technology (OT) data for advanced analytics, generative AI agents, digital twins, and real-time decision-making—all natively within the Databricks ecosystem.

As industries move toward smarter, data-centric operations, this collaboration positions EOT.AI as a pivotal enabler of AI-driven transformation in energy, manufacturing, and other industrial sectors.

By bridging the gap between operational data and cloud-based AI platforms, EOT.AI is helping enterprises modernize legacy systems, reduce data silos, and make their digital transformation strategies a tangible reality.

“Our mission has always been to make industrial data more accessible, more valuable, and more actionable,” Oberdorfer added. “Through our partnership with Databricks, we’re giving companies the power to scale their AI ambitions using the trusted data they already own.”

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