Reduce Energy Consumption and Meet Sustainability Goals

AI Insights for Managing Energy Use and Emissions

C3 AI Energy Management empowers sustainability, facilities, and operations managers to achieve targets for energy cost, GHG emissions, water consumption, and waste reduction. The application models fuel efficiency and emissions at every level from the individual equipment up to the facility as well as SKU-level product carbon footprints. Advanced AI models identify opportunities for fuel efficiency, prioritize emissions and cost reduction strategies with benchmarking and scenario analysis, alert operators to efficiency anomalies, and verify progress against sustainability goals across the enterprise.

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Demonstrated Benefits


Decreased energy & water costs from operational efficiency​


Decrease in greenhouse gas emissions​


End to end auditability of calculated scope 1 and scope 2 emissions

The Value of C3 AI Energy Management

Pain Point
C3 AI Energy Management Solution

Lack of comprehensive visibility into equipment, line, and process-level sustainability metrics

Optimize Energy Icon Solid

Sustainability-focused digital twins of facilities provide comprehensive view of fuel efficiency, energy intensity, GHG emissions, water, and waste within and across facilities

Inability to measure progress against sustainability goals

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Automated measurement and verification with machine learning enable accurate tracking against cost and sustainability objectives

Limited collaboration between sustainability and operations teams to identify project opportunities

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AI-based alerts and recommendations identify specific operational opportunities with estimated sustainability impact

Time-consuming manual calculation of sustainability project outcomes

Automated AI/ML project savings measurement and verification track sustainability ROI at the equipment and facility levels

Inability to track product carbon footprints and leverage sustainability investments to competitively differentiate

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Industry-specific data models and out-of-the-box emission factor libraries enable advanced product carbon footprint analysis

Existing systems are rigid, closed, and not scalable

Flexible, secure, and open platform offers robust integrations and full interoperability with all enterprise and extraprise systems such as historian systems, flare stack sensors, PEMS, CEMS

Customer Viewpoints

Dulce Borjas
Dulce Borjas

Dulce Borjas

VP and CIO, ENGIE North America

“ENGIE is looking to provide a zero-carbon future. The C3 AI Suite is important because it helps us build applications faster.”

Olivier Sala
Olivier Sala

Olivier Sala

Managing Director, ENGIE Digital

“C3 AI has played a major role in ENGIE's digital transformation for the last three years.”

Stephanie Bailey

Stephanie Bailey

Sr. Director, Business Systems Delivery

“What we had out of C3 AI was a product, eagerness, the ability to deliver, and the ability to understand our data. That was a winner. It’s a small company that acts in a big way.”

Amy Findlay
Amy Findlay

Amy Findlay

Supervisor of Customer Engagement Strategy, Energy Efficiency

“Connecting disparate data sets in order to draw the insights that we need and promote the best programs with the right customer is a large focus and that’s what we are using the C3 AI Platform for.”

Gil Quiniones

Gil Quiniones

President and CEO

“Our partnership with C3 AI is an important step in NYPA’s journey to become the nation’s first end-to-end digital utility.”

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