AI Adoption Leaderboard
Utilities in New York — 46 ranked companies
AI adoption leaderboard for 46 Utilities in New York companies.
46
Companies Scored
60
Avg Adoption Score
Moderate
Top Stage
Which 46 ranked companies companies lead in AI adoption?
- Who are the top AI adopters matching 46 ranked companies?
| # | Company | Stage | Key Opportunity | Industry |
|---|---|---|---|---|
| 1 | ge power | Moderate | AI-driven predictive maintenance for gas turbines and renewable assets can significantly reduce unplanned downtime and optimize maintenance schedules, boosting fleet reliability and profitability. | Power generation & renewables |
| 2 | ls power | Moderate | Deploy AI-driven predictive maintenance and grid optimization across LS Power's portfolio of generation and transmission assets to reduce unplanned outages by up to 30% and extend asset life. | Power generation & energy infrastructure |
| 3 | fluence-corporation | Moderate | Environmental Services And Clean Energy | |
| 4 | Venture Solar | Moderate | Renewables And Environment | |
| 5 | alfa green solutions inc. | Basic | Leveraging AI for predictive maintenance of solar assets and real-time energy output forecasting to maximize grid efficiency and reduce operational costs. | Renewable energy generation |
| 6 | terra-gen power, llc | Basic | Leverage AI-driven predictive maintenance and generation forecasting to optimize asset performance and reduce O&M costs across its wind and solar portfolio. | Renewable energy generation |
| 7 | dsd renewables | Basic | Leverage AI-driven predictive analytics to optimize solar asset performance and automate O&M scheduling across a growing portfolio of distributed generation sites. | Renewable energy & solar development |
| 8 | homenerds | Basic | AI-powered predictive modeling can optimize residential solar panel placement and energy storage scheduling, maximizing homeowner savings and grid stability. | Renewable energy & environmental solutions |
| 9 | premier infrastructure & energy | Basic | Deploy AI-driven predictive maintenance across grid assets to reduce outages and optimize field crew dispatch. | Utilities |
| 10 | green choice energy | Basic | Deploy AI-driven demand forecasting and personalized green energy plans to optimize wholesale procurement and customer retention. | Renewable Energy |
| 11 | brookfield renewable u.s. | Basic | AI can optimize energy production forecasts and asset maintenance schedules across their geographically dispersed renewable portfolio to maximize revenue and reduce downtime. | Renewable energy generation |
| 12 | nyiso | Basic | AI can optimize real-time grid dispatch and congestion management, integrating volatile renewable energy while maintaining reliability and reducing costs. | Electric grid operations & transmission |
| 13 | new york power authority | Basic | AI can optimize grid operations in real-time, balancing renewable energy sources with demand to reduce costs and enhance reliability. | Public power utilities |
| 14 | con edison | Basic | AI-driven predictive maintenance and grid optimization can significantly reduce outage times, improve asset lifespan, and integrate renewable energy sources more efficiently. | Electric & gas utilities |
| 15 | techline, inc. | Basic | Deploy AI-driven predictive maintenance on transmission and distribution assets to reduce outage minutes and extend infrastructure lifespan, directly improving regulatory compliance and customer satisfaction. | Utilities |
| 16 | con edison development | Basic | Leverage predictive AI on grid sensor data and weather forecasts to optimize infrastructure hardening investments and preemptively dispatch repair crews, reducing outage duration and operational costs. | Utilities |
| 17 | sunation energy corporate | Basic | Deploy AI-driven predictive analytics to optimize solar panel performance and automate maintenance scheduling across distributed residential and commercial installations, reducing downtime and operational costs. | Renewable energy & solar services |
| 18 | opal fuels | Basic | Deploy AI-driven predictive analytics across RNG feedstock sourcing and gas capture operations to optimize methane yield and reduce fleet fueling downtime. | Renewable Energy & Fuels |
| 19 | new fortress energy | Basic | Deploy AI-driven predictive maintenance and real-time optimization across its global fleet of LNG terminals, power plants, and gas distribution assets to reduce unplanned downtime and fuel costs. | Oil & Energy |
| 20 | northline utilities, llc | Basic | Deploy predictive maintenance AI on grid infrastructure to reduce outage duration and truck rolls, directly improving SAIDI/SAIFI metrics and lowering operational costs. | Utilities |
| 21 | con edison clean energy businesses | Basic | Leveraging AI-driven predictive analytics to optimize distributed solar asset performance and automate energy efficiency audits for commercial clients, reducing operational costs and increasing contract margins. | Renewable Energy & Clean Technology |
| 22 | mn8 energy | Basic | Deploy AI-driven predictive analytics across its distributed solar fleet to optimize performance, automate maintenance dispatch, and enhance energy yield forecasting for commercial and community solar assets. | Renewable energy & solar power |
| 23 | consolidated edison | Basic | Deploying predictive grid analytics to optimize distributed energy resource (DER) integration and reduce outage restoration times across its dense urban service territory. | Electric Utilities |
| 24 | latam bioenergy | Basic | Optimizing biomass feedstock supply chain and power generation efficiency using predictive analytics and machine learning. | Renewable energy & bioenergy |
| 25 | reenergy holdings llc | Basic | Deploy AI-driven predictive maintenance and process optimization across its biomass power plants to reduce downtime and improve fuel efficiency. | Renewable energy generation |
| 26 | cascade water services, inc. | Basic | AI can optimize chemical dosing, energy use, and predictive maintenance across their water treatment facilities, reducing operational costs by 10-15% and improving compliance. | Water infrastructure & services |
| 27 | new york state electric & gas | Basic | AI-driven predictive maintenance of grid infrastructure can reduce outage frequency and duration, improving reliability and lowering operational costs. | Electric utilities |
| 28 | solas services | Basic | AI-powered predictive maintenance for distributed energy assets can reduce unplanned downtime by 20-30% and optimize field technician dispatch. | Electric utilities & power generation |
| 29 | ch energy group inc. | Basic | AI can optimize grid operations and demand forecasting to improve reliability, integrate renewables, and reduce operational costs. | Electric utilities |
| 30 | reconn utility services | Basic | AI-powered predictive maintenance can reduce downtime and extend asset life for critical utility infrastructure. | Utility services & infrastructure |
| 31 | gehrlicher solar | Minimal | Leverage computer vision on drone inspection data to automate PV module defect detection and predictive maintenance scheduling across its 3 GW+ O&M portfolio. | Solar energy & engineering |
| 32 | ny state solar | Minimal | Deploying AI-driven remote shading analysis and automated system design can cut proposal generation time by 80% and improve energy yield estimates, directly boosting sales conversion for a mid-market solar installer. | Renewable Energy & Solar Installation |
| 33 | futuresolar solution inc | Minimal | Deploy AI-driven predictive analytics to optimize solar panel performance and automate maintenance scheduling, reducing downtime and maximizing energy yield across distributed installations. | Solar energy solutions |
| 34 | mpower energy | Minimal | Leverage AI to optimize subscriber acquisition and churn prediction for community solar portfolios, maximizing bill-credit efficiency and project ROI. | Renewable Energy |
| 35 | orange and rockland utilities, inc. | Minimal | AI can optimize grid operations and predict failures by analyzing real-time sensor data, weather patterns, and historical outage logs to improve reliability and reduce maintenance costs. | Electric utilities |
| 36 | central hudson | Minimal | AI can optimize grid operations by predicting demand surges and equipment failures, reducing outage times and operational costs. | Electric utilities |
| 37 | Select Water | Minimal | Water Waste Steam And Air Conditioning Services | |
| 38 | neon energy holding | Minimal | Renewables And Environment | |
| 39 | national fuel gas distribution corporation | Minimal | Implementing AI-powered predictive maintenance for pipeline infrastructure can significantly reduce operational costs and prevent costly, disruptive failures. | Natural gas utilities |
| 40 | Ecwa | Minimal | Utilities | |
| 41 | buffalo sewer authority | Minimal | Deploy predictive maintenance AI on sewer infrastructure sensors to reduce overflow events and extend asset life. | Water & wastewater utilities |
| 42 | long island clean water | Minimal | Deploy AI-driven predictive analytics on sensor networks to optimize water treatment chemical dosing and detect leaks in real-time, reducing operational costs and water loss. | Water Utilities |
| 43 | Meenan | Minimal | Oil And Energy | |
| 44 | rochester gas & electric | Minimal | Implementing predictive AI for grid maintenance can prevent costly outages, optimize capital expenditure, and improve service reliability for customers. | Utilities & Energy Distribution |
| 45 | national fuel gas company | Minimal | AI-powered predictive maintenance for pipeline networks can prevent costly failures, optimize inspection schedules, and enhance safety by analyzing sensor data, weather patterns, and historical incident reports. | Natural gas utilities |
| 46 | suffolk county water authority | Minimal | AI-powered predictive maintenance for water infrastructure can prevent costly main breaks, optimize repair crew dispatch, and reduce non-revenue water loss. | Water utilities |
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