Enterprise AI for cleaner and safer energy operations

Our approach

Reduce carbon emissions with advanced AI technology for efficient and safe operations

Optimize energy operations with AI-enabled insights

AI-based recommendations and insights identify highest-value opportunities to meet sustainability and carbon goals

Monitor real-time energy data unified across systems

Comprehensive, unified view of all energy data sources along with streamlined tools enable monitoring and analysis of energy, water, cost, and carbon emissions in real-time

Deliver new levels of efficiency to reduce emissions

Early anomaly detection in equipment and process health improve overall efficiency of energy systems and help in emissions reduction programs

Featured case study

Enterprise AI for Predicting Asset Failures

A large vertically integrated hydrocarbon producer experienced a major unplanned shutdown due to asset failures at one of its upstream production sites and began to reevaluate its current asset maintenance systems and strategy.

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Our expertise

AI technology for cleaner energy operations

Increase energy efficiency and reduce overall operational costs

An AI application to optimize building operations, detect anomalies in assets, and identify energy savings opportunities for informed management decisions.

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Deliver efficiency targets for assets and systems

A comprehensive software solution that provides engineers and maintenance managers with AI-enabled insights to address process and equipment performance risks across critical and non-critical assets, improving the efficiency of entire systems.

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Proven results in weeks, not years

Get insights into BHC3 capabilities, enterprise AI best practices and highest-value use cases.
Understand BHC3™ AI Suite's capabilities, its model-driven architecture and test it against your company's sample data set.
Identify a high-impact business problem and collaborate with the BHC3 team to rapidly build an AI application that solves it.
Scale and deploy a tested BHC3 application into production. Incorporate user feedback and optimize algorithms to drive maximum economic value.

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