Company lists · Data refreshed September 2026
Top 25 Machine learning for buildings companies based in the United Kingdom
RevenueBase identified 65 machine learning for buildings companies headquartered in the United Kingdom as of September 2026 and tracks 537 professional contacts across them, including 177 with verified work emails and 24 with mobile numbers. London is the largest hub.
This list covers machine learning for buildings companies headquartered in the 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 5, 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 25 largest machine learning for buildings companies based in the United Kingdom
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 36 contacts → | ||||
Indirect evidence “We resolve energy inefficiency in real estate.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 25 contacts → | ||||
Partial evidence “Synapsys Solutions innovative hardware and software solutions help improve building performance, reduce time pressure on facilities personnel and help building owners improve the…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 25 contacts → | ||||
Partial evidence “Demand Logic is a multi-award winning building optimisation platform which provides live data intelligence on how a building operates.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 21 contacts → | ||||
Partial evidence “DIREK turns quiet buildings into colleagues you can actually talk to.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 21 contacts → | ||||
Partial evidence “UMA transforms buildings into smart, efficient spaces with AI-powered automation.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 19 contacts → | ||||
Indirect evidence “Smarter Heating, Real-Time Insights EcoSync is a multi-award-winning smart temperature control system, developed out of Oxford University.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 18 contacts → | ||||
Indirect evidence “Clear insights, smarter spaces.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 16 contacts → | ||||
Partial evidence “SmartViz ‘s AI-powered building analytics puts people at centre of decision making.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 16 contacts → | ||||
Partial evidence “Our vision is to make buildings better!” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 15 contacts → | ||||
Partial evidence “OptimiseAI allows building and estate owners to plan and execute their route to EPC B and onto Net Zero, cut energy costs, slash carbon emissions, and meet sustainability goals…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 15 contacts → | ||||
Indirect evidence “Verv's mission is clear: to eliminate the 4% of global energy waste from inefficient heating and cooling systems while offering AI-driven predictive maintenance.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 14 contacts → | ||||
Partial evidence “re:sustain is decarbonising the built environment through applied building physics.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 12 contacts → | ||||
Indirect evidence “gospace AI is the only autonomous occupancy management solution on the market that leverages the power of spatial AI to go beyond insights and automatically make decisions that…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 12 contacts → | ||||
Indirect evidence “Genius Hub (formerly known as Heat Genius) develops smart heating control systems that significantly reduce heating costs.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 11 contacts → | ||||
Partial evidence “Priva Building Automation helps owners, developers and investors to build environments that make people feel better while using energy in the most sustainable manner possible.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 10 contacts → | ||||
Partial evidence “xWatts is a smart energy management software that reduces costs and emissions by over 20% in commercial buildings via predictive control and automation.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Indirect evidence “Cosysense increases comfort while reducing electricity costs and emissions in offices, retail, and hospitality spaces.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Partial evidence “IBOS optimises building systems, transforming them into intelligent, highly efficient operations.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Partial evidence “Building Atlas uses data and AI to plan your fastest, cheapest path to net zero across large portfolios of commercial real estate.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Partial evidence “The first step towards truly smart cities begins with smart building infrastructure.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 6 contacts → | ||||
Partial evidence “Aireavu is a UK-based, market-leading provider of AI-powered building performance systems.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 6 contacts → | ||||
Partial evidence “Discover cThings, the intelligent solution for building and utility monitoring.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 5 contacts → | ||||
Indirect evidence “Technology has revolutionised the way we live and work.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 5 contacts → | ||||
Partial evidence “Morbit: Smart-Space Management Made Simple Morbit is a patent-granted smart building platform that unifies and manages every IP-enabled device across your workplace.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 5 contacts → | ||||
Partial evidence “Infogrid is changing the world through building intelligence.” Source: RevenueBase Database · checked Sep 5, 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 for buildings companies. 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 for buildings companies.
- Partial evidence
- Its own public description names part of machine learning for buildings companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning for buildings companies. 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 65 machine learning for buildings companies based in the United Kingdom
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Machine learning for buildings companies based in the United Kingdom at a glance
As of Sep 5, 2026Companies by employee count
Freshness & accuracy
How recently the business emails on this list were verified
Email last verified
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 for buildings companies, 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 the United Kingdom whose own description of what they do matches “machine learning for buildings companies”. 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 for buildings companies), 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 for buildings companies, and records with no verified work email. Companies headquartered outside United Kingdom 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, 177 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 5, 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 for buildings companies by metro
- Machine learning for buildings companies in London33
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 for buildings companies, 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 for buildings companies are there based in the United Kingdom?
RevenueBase identified 65 machine learning for buildings companies headquartered in the 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?
Arloid Automation, headquartered in London, tops this list with the largest team on record.
Which city has the most machine learning for buildings companies?
London leads with 33 headquartered companies, followed by Cambridge (2) and Cardiff (2).
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 177 verified decision-maker contacts tracked across these 65 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 5, 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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