Enterprise AI to reduce downtime, increase efficiency, and improve safety

Our approach

We predict system failures and prevent downtime

Accurate prediction of failure risk

Reduce unplanned downtime by 20-50% by applying machine learning to a unified dataset including telemetry data, maintenance records, and failure modes.

Scalable across assets and systems

Use a system-of-systems approach that scales rapidly  across any type of facility or asset fleet in upstream, midstream, and downstream oil and  gas operations.

Proven at scale to produce economic value

Reduce maintenance cost by 15-25% and improve
asset availability by 1-5% using the power of enterprise AI applied across global operations.

Featured case study

Global Oil & Gas Leader Leverages the BHC3 AI Suite

With millions of assets at different locations around the world, creating a scalable predictive asset maintenance solution posed a significant challenge from both an architecture and data science perspective. After exploring alternative approaches, the oil & gas producer selected the BHC3™ AI Suite as their platform of choice to build scalable, enterprise software enabled by AI–beginning with predictive maintenance use cases.

Read the case study

Our expertise

AI technology for reliable operations

Prevent equipment failure and process upsets

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 reliability of entire systems.

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Utilize interoperable software for improved asset & system uptime

An open ecosystem of AI-based solutions for the energy and process industry, the OAI allows energy businesses to build and adopt interoperable solutions on the BHC3 AI Suite. The first set of solutions are focused on Reliability.

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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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