Company lists · Data refreshed September 2026
Top 22 Machine learning platforms energy based in London, United Kingdom
RevenueBase identified 58 machine learning platforms energy headquartered in London, United Kingdom as of September 2026 and tracks 3,264 professional contacts across them, including 1,773 with verified work emails and 349 with mobile numbers. London is the largest hub.
This list covers machine learning platforms energy headquartered in London, United Kingdom, 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 13, 2026.
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 22 largest machine learning platforms energy based in London, United Kingdom
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 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 595 contacts → | ||||
Strong evidence “Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 146 contacts → | ||||
Partial evidence “At Brady Technologies, we are at the forefront of the energy transition, helping market participants navigate new challenges and opportunities with confidence.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 68 contacts → | ||||
Partial evidence “Arenko is a market leading technology provider enabling the clean energy transition.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 5 | 50 contacts → | ||||
Partial evidence “Powerverse is a smart energy management company committed to creating a more affordable, connected electric future.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 39 contacts → | ||||
Partial evidence “Faradai provides multi-agent AI & analytics platform to accelerate decarbonization.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 35 contacts → | ||||
Strong evidence “Amp X delivers an innovative digital energy platform providing grid software services holistically addressing the challenges associated with the energy transition at the edge of…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 33 contacts → | ||||
Indirect evidence “ANGARA turns $100 billion of invisible fouling losses into measurable profit through Proactive Fouling Management in industrial heat transfer with paired AI analytics and patented…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 32 contacts → | ||||
Partial evidence “Guru Systems creates intelligent technology to make energy systems more transparent, lower cost and lower carbon.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 26 contacts → | ||||
Partial evidence “Utilidex delivers a range of integrated energy software products supporting end customers, consultants and energy suppliers/generators for data management, billing, trading…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 18 contacts → | ||||
Partial evidence “Open Energi, a bp Company create advanced technology to deliver an affordable, zero carbon energy future.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 12 | 17 contacts → | ||||
Strong evidence “Ogre AI is an automated B2B platform which uses machine learning to offer financial and operational decision-making support to energy & utilities companies.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 13 | 16 contacts → | ||||
Indirect evidence “Volteras provides the data infrastructure that enables reliable, OEM-supported access to connected vehicle information.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 14 | 13 contacts → | ||||
Indirect evidence “The future of enterprise advantage will be defined by resilience.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 15 | 12 contacts → | ||||
Indirect evidence “As the amount of data collected grows it becomes significantly challenging to extract valuable insight through industry-standard analytics practices.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 16 | 11 contacts → | ||||
Partial evidence “Energy optimisation analytics that improve energy efficiency, optimise assets and prevent faults” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 17 | 9 contacts → | ||||
Partial evidence “Our mission: Leverage AI to make renewable energy technologies subsidy-free and cost competitive with fossil fuels.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 18 | 6 contacts → | ||||
Partial evidence “Renewable energy portfolios are scaling fast - but most operators are still managing assets reactively, across disconnected tools, with limited visibility and no early warning on…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Strong evidence “Enverse provides industrial data analytics and machine learning applications, thereby enabling our customers to improve industrial production efficiencies and achieve net zero…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 20 | 5 contacts → | ||||
Partial evidence “AI Technology Futures helps industrial and manufacturing organisations cut energy waste, prevent equipment failures and secure their operational data using real-time edge AI.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 contacts → | ||||
Strong evidence “AI native data and analytics platform designed to solve the problems in energy transition.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 22 | 2 contacts → | ||||
Partial evidence “Inovee AI is pioneering energy efficiency in commercial buildings through cutting-edge artificial intelligence.” Source: RevenueBase Database · checked Sep 13, 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 platforms energy. 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 platforms energy.
- Partial evidence
- Its own public description names part of machine learning platforms energy, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning platforms energy. 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 22 of 58 machine learning platforms energy based in London, United Kingdom
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Machine learning platforms energy based in London, United Kingdom at a glance
As of Sep 13, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 15.0dCompany record updated
Median 57.0dHow 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 platforms energy, 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.
- What qualifies
- Companies headquartered in London, United Kingdom whose own description of what they do matches “machine learning platforms energy”. 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 platforms energy), 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 platforms energy, and records with no verified work email. Companies headquartered outside London are excluded even when they keep an office there.
- 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, 1,773 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 13, 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 platforms energy by metro in the United Kingdom
- Machine learning platforms energy in London35
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 platforms energy, 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 platforms energy are there based in London, United Kingdom?
RevenueBase identified 58 machine learning platforms energy headquartered in London, United Kingdom 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 city has the most machine learning platforms energy?
London leads with 35 headquartered companies, followed by Edinburgh (5) and Aberdeen (4).
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 1,773 verified decision-maker contacts tracked across these 58 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 13, 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.
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