Seeq and Applied Computing have agreed to integrate industrial analytics with an AI model designed to detect problems in energy operations. Seeq and Applied Computing have agreed to integrate industrial analytics with an AI model designed to detect problems in energy operations.

Seeq and Applied Computing link AI tools for energy operations

Seeq and Applied Computing have agreed to integrate industrial analytics with an AI model designed to detect and diagnose problems in energy operations, with an initial application supporting KBR’s INSITE digital platform.

The commercial agreement combines Applied Computing’s Orbital foundation model with Seeq’s industrial intelligence platform. Orbital uses physics-grounded AI to identify equipment and process anomalies, while Seeq provides tools to investigate findings, analyse operational data and produce recommendations.

The initial application will support INSITE, which provides technical and advisory services to operators in the ammonia, petrochemical, liquefied natural gas (LNG) and oil and gas industries.

Analysts at KBR’s Innovation Studio in Bengaluru will use Seeq to investigate anomalies identified by Orbital and prepare customer-facing reports and recommendations.

The companies said the combined technologies would help operators investigate the causes of equipment and process problems, with the aim of improving efficiency, reliability and emissions performance. They did not disclose financial terms or provide figures demonstrating operational improvements from the integration.

“Orbital was built to detect and diagnose issues in the world’s most complex energy environments, and Seeq gives operations teams a powerful way to investigate, contextualise and act on what it finds,” said Dan Jeavons, President of Applied Computing.

Seeq Chief Executive Lisa Graham said the partnership would bring together physics-based AI and industrial analytics to support operational decision-making.

The companies also plan to explore a two-way integration between Orbital and Seeq, which would allow the systems to share operational context and streamline AI-assisted investigations.

London-based Applied Computing develops Orbital for energy operations, combining physics-grounded intelligence with models covering chemical engineering, time-series forecasting and language. Seeq provides analytics and AI tools for industrial organisations.