Enterprise AI to reduce downtime, increase efficiency, and improve safety
Our approachWe 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.
Our expertiseAI 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.
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.