AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of C3 AI Energy Management Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
ENGIE Utilities 96454 $85.8B France C3.ai C3 AI Energy Management ML and Data Science Platforms 2016 n/a
In 2016, ENGIE deployed C3 AI Energy Management in Italy to enable municipal and commercial customers to analyze energy consumption and reduce energy expenditure. ENGIE implemented C3 AI Energy Management using the C3 AI Suite as the Clara Domus solution, completing an initial production rollout to more than 600 public facilities in Northern Italy within a 16 week engagement with C3 AI, in response to requirements from the Italian Ministry of Economy and Finance. The implementation configured a library of 140 analytics focused on energy metrics such as thermal heating consumption and energy efficiency KPIs, and delivered application capabilities for monitoring contractual obligations including comfort parameters and for identifying opportunities to implement corrective measures and verify benefits. ENGIE used the C3 AI Suite development tools to build custom analytics and to model a multi layer asset hierarchy, spanning city level aggregation down to individual building assets and sensors, providing hierarchical rollup and drill down for energy managers. This implementation aligns with the ML and Data Science Platforms category by instrumenting data pipelines, feature engineering, model hosting, and analytics orchestration to support operational decision making. Data integration work for the deployment included custom temperature and billing feeds developed by ENGIE and direct connections to building management systems, providing measurements such as fan coil speed and HVAC status at 15 minute intervals. The solution ingested broad sensor and billing streams to enable time series analytics at building and city scale, and the deployment design was built for scale as ENGIE Italy planned expansion from hundreds to thousands of facilities. ENGIE and C3 AI collaborated on platform configuration, data modeling, and productionization across the Clara Domus footprint. Operational coverage centered on ENGIE energy managers and customers facility operators, and ENGIE trained more than 70 staff on the C3 AI Suite to support ongoing operations and application development. The rollout delivered the solution to 600 plus facilities on schedule, produced modeled outcomes cited by ENGIE including 50 percent additional savings compared to alternative solutions and identification of up to 10 times energy reductions for worst performing facilities, and contributed to new product revenue, improved customer retention, and recognition such as from the City of Venice. ENGIE continues to expand C3 AI Energy Management as part of a broader C3 AI Suite adoption across its business units.
New York Power Authority Government 2500 $4.0B United States C3.ai C3 AI Energy Management ML and Data Science Platforms 2018 n/a
In 2018, New York Power Authority implemented C3 AI Energy Management, deploying the C3 AI Energy Management application as the AI software foundation for its New York Energy Manager platform. The implementation is categorized in the ML and Data Science Platforms category and was delivered as a software-as-a-service application hosted on the Amazon Web Services cloud to support NYPA’s statewide energy efficiency program under New York State’s Reforming the Energy Vision strategy. The deployment aggregated enormous volumes of disparate telemetry and contextual data, including real-time smart meter feeds, building management systems, end-use equipment controls, sensors, weather, occupancy and daylight data, solar generation telemetry, and utility bills. C3 AI Energy Management enabled machine learning at scale to produce building energy load forecasting, fault detection and diagnostics, continuous optimization of energy use, dynamic demand response, solar and energy storage monitoring, and aggregation and dispatch of buildings as distributed energy resources, while generating personalized recommendations for individual customers. The solution was integrated into NYEM, New York Energy Manager, which at the time provided digital energy services to more than 11,000 buildings including large public and private facilities such as the State University of New York, with plans to scale to 20,000 buildings by 2020. Operational coverage focused on statewide building portfolios and customer-facing energy management services, positioning the platform to support building owners and facility managers across NYPA’s customer base. Governance and rollout were structured under a multi-year agreement with NYPA leading the program through NYEM, embedding the C3 AI Energy Management application into NYPA’s service catalog to enable new data-enabled energy services. The engagement explicitly aligned with state targets, including the 2025 goal to reduce energy consumption by 185 trillion BTUs below forecasted use, and was positioned as a strategic step toward NYPA’s objective to become the nation’s first end-to-end digital utility.
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Buyer Intent: Companies Evaluating C3 AI Energy Management

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating C3 AI Energy Management. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating C3 AI Energy Management for ML and Data Science Platforms include:

  1. Edelman, a United States based Professional Services organization with 6500 Employees
  2. Nexsales Corporation, a United States based Professional Services company with 10 Employees

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FAQ - APPS RUN THE WORLD C3 AI Energy Management Coverage

C3 AI Energy Management is a ML and Data Science Platforms solution from C3.ai.

Companies worldwide use C3 AI Energy Management, from small firms to large enterprises across 21+ industries.

Organizations such as ENGIE and New York Power Authority are recorded users of C3 AI Energy Management for ML and Data Science Platforms.

Companies using C3 AI Energy Management are most concentrated in Utilities and Government, with adoption spanning over 21 industries.

Companies using C3 AI Energy Management are most concentrated in France and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of C3 AI Energy Management across Americas, EMEA, and APAC.

Companies using C3 AI Energy Management range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 50%.

Customers of C3 AI Energy Management include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified C3 AI Energy Management customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.