Company lists · Data refreshed September 2026
Top 25 Machine learning companies for utilities worldwide
RevenueBase identified 506 machine learning companies for utilities worldwide as of September 2026 and tracks 8,927 professional contacts across them, including 3,555 with verified work emails. The United States is the largest market and London the largest hub.
This list covers machine learning companies for utilities worldwide, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 2026. Country and city lists for machine learning companies for utilities follow the table.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest machine learning companies for utilities worldwide
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,762 contacts → | ||||
Indirect evidence “Improve customer satisfaction, increase product innovation, generate new revenue streams, and make significant operational savings.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 873 contacts → | ||||
Indirect evidence “SEW.AI is the world's #1 trusted and only Vertical AI platform for energy and water, connecting Customers, Workforce, and Grid Assets on one secure, cloud-native foundation.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 864 contacts → | ||||
Indirect evidence “Arcadia is the global utility data and energy solutions platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 556 contacts → | ||||
Indirect evidence “Founded in 2011, Kimbal Private Limited (formerly Sinhal Udyog Private Limited) is an ISO 9001:2015 certified fastest emerging Indian startup building breakthrough technologies…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 246 contacts → | ||||
Partial evidence “We are a technology-driven company offering integrated platform solutions aimed at driving innovation and transforming distribution utilities.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 207 contacts → | ||||
Strong evidence “We provide accurate and reliable machine learning products and solutions (on-premises) for the Government and Private sector players.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 114 contacts → | ||||
Indirect evidence “Equilibrium Energy is building the operating system for tomorrow’s power company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 107 contacts → | ||||
Indirect evidence “Think Power Solutions is a leading provider of AI-enabled utility infrastructure solutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 103 contacts → | ||||
Indirect evidence “Amperon is the leading energy forecasting company, positioned at the intersection of energy data and AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 102 contacts → | ||||
Indirect evidence “Opower is the platform for utility customer action.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 86 contacts → | ||||
Strong evidence “Welligence is a pioneering energy analytics firm leveraging cutting-edge machine learning to revolutionize the oil and gas analytics landscape.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 72 contacts → | ||||
Indirect evidence “Our mission is to empower a sustainable energy future by identifying and engaging households to unlock flexibility at scale for energy players through AI-powered energy analytics.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 72 contacts → | ||||
Indirect evidence “Seismos delivers actionable data intelligence across the energy infrastructure, enabling greater situational awareness, confident decision-making, and superior performance.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 69 contacts → | ||||
Indirect evidence “Our Vision: We envision a future where enterprises harness the power of decision intelligence and clarity to drive growth, trust, and financial success.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 69 contacts → | ||||
Strong evidence “We are artificial intelligence and machine learning specialist.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 65 contacts → | ||||
Indirect evidence “Gridmatic is an AI-powered energy company focused on decarbonizing the grid by helping with the transition to clean energy.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 65 contacts → | ||||
Indirect evidence “Mycroft Mind transforms smart meter and grid data into clear, actionable insights that empower distribution and transmission system operators to make informed decisions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 55 contacts → | ||||
Indirect evidence “Novi Labs transforms how energy companies and investors evaluate assets, seize acquisition and divestment (A&D) opportunities, and optimize development planning through AI-powered…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 52 contacts → | ||||
Indirect evidence “We use modern techniques in AI, cloud, and data engineering to solve the core strategic problems in global companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 48 contacts → | ||||
Indirect evidence “Established in 2017 and based out of India and Australia.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 46 contacts → | ||||
Indirect evidence “baobab is an AI consultancy specializing in forecasting, optimization, and planning for large companies in Spain and beyond, since 2011.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 45 contacts → | ||||
Indirect evidence “Xalt Analytics is a data science and AI company based in Indore.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 45 contacts → | ||||
Strong evidence “We develop advanced analytics for decision support -We empower traditional industries with machine learning -We help you with your own big data project” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 43 contacts → | ||||
Indirect evidence “Sightline Climate is the market intelligence platform bringing clarity to the new climate economy.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 42 contacts → | ||||
Indirect evidence “SmartWorks, a division of N.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning companies for utilities. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning companies for utilities.
- Partial evidence
- Its own public description names part of machine learning companies for utilities, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning companies for utilities. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 506 machine learning companies for utilities worldwide
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Machine learning companies for utilities worldwide at a glance
As of Sep 28, 2026Companies by employee count
Email recency is reported on each country list linked below.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning companies for utilities, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- Coverage
- Every country. Country and city lists for machine learning companies for utilities are linked below.
- What qualifies
- Companies worldwide whose own description of what they do matches “machine learning companies for utilities”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning companies for utilities), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning companies for utilities, and records with no verified work email.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 3,555 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 28, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Machine learning companies for utilities by location
3 lists · largest firstEvery Machine learning companies for utilities list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning companies for utilities, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning companies for utilities are there worldwide?
RevenueBase identified 506 machine learning companies for utilities worldwide as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Kraken, headquartered in London, tops this list with the largest team on record.
Which country has the most machine learning companies for utilities?
The United States leads with 110 companies, followed by India (43) and Canada (28). Every machine learning companies for utilities list by country and city is linked on this page.
Which city has the most machine learning companies for utilities?
London leads with 15 headquartered companies, followed by Houston (11) and San Francisco (8).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 3,555 verified decision-maker contacts tracked across these 506 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 28, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.