Company lists · Data refreshed September 2026
Top 22 Machine learning for buildings companies based in France
RevenueBase identified 53 machine learning for buildings companies headquartered in France as of September 2026 and tracks 639 professional contacts across them, including 252 with verified work emails and 13 with mobile numbers. Paris is the largest hub.
This list covers machine learning for buildings companies headquartered in France, 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 22 largest machine learning for buildings companies based in France
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 108 contacts → | ||||
Indirect evidence “ESMÉ SOLUTIONS, acteur historique du marché des solutions pour les bâtiments connectés, est une filiale du Groupe Eren, leader du marché de la production d’énergies renouvelables…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 53 contacts → | ||||
Indirect evidence “Ubigreen est un éditeur de solutions digitales permettant de mesurer et optimiser la performance technique et énergétique des bâtiments du tertiaire.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 42 contacts → | ||||
Indirect evidence “Founded in 2015 by two engineers, Julien Bruneau and Quentin Enard, iQspot is the partner of choice for real estate investors to co-develop a sustainable real estate strategy.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 34 contacts → | ||||
Partial evidence “Building Management Systems (BMS) are a major issue for improving energy efficiency and reducing operating costs of real estate portfolios.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 26 contacts → | ||||
Indirect evidence “Opérateur de services dédiés aux bâtiments intelligents et connectés, Idealys développe des solutions à destination des professionnels de l’immobilier pour gérer la connectivité…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 26 contacts → | ||||
Indirect evidence “Icare Energie vous aide à piloter vos bâtiments pour améliorer leur performance énergétique et technique.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 23 contacts → | ||||
Indirect evidence “META 2e est intégrateur de solutions en Gestion Technique du Bâtiment et optimisation énergétique.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 16 contacts → | ||||
Partial evidence “TheWatchDog est un acteur français du Smart Building spécialisé dans la Gestion Technique du Bâtiment (GTB) nouvelle génération, le pilotage énergétique intelligent et…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 14 contacts → | ||||
Indirect evidence “Nodewise conçoit les bâtiments intelligents de demain : GTB/BACS, pilotage CVC par intelligence artificielle et monitoring énergétique.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 12 contacts → | ||||
Partial evidence “At AGRID, we are convinced that only faultless operation of buildings will make it possible to sustainably and significantly reduce the carbon impact of this sector.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 11 contacts → | ||||
Indirect evidence “OuiSense est une solution IoT clé-en-main combinant des capteurs miniatures installables en quelques secondes et une plateforme SaaS, permettant aux gestionnaires et propriétaires…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 8 contacts → | ||||
Partial evidence “Hxperience gives meaning to the data of your buildings so you can make better decisions and act more efficiently.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 8 contacts → | ||||
Partial evidence “Ecotropy provides a complete solution to analyse energy performance and optimize energy retrofit of buildings.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 5 contacts → | ||||
Indirect evidence “Meet your carbon reduction goals, and save on your energy bills, with a solution that pays for itself.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 5 contacts → | ||||
Indirect evidence “WATT Earth a créé la solution digitale WE.Vision (IA + technologie temps réel).” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 4 contacts → | ||||
Indirect evidence “INYUS développe une plateforme intelligente de pilotage et de monitoring énergétique des bâtiments.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | 4 contacts → | ||||
Indirect evidence “ADAPT AI is dedicated to reducing greenhouse gas emissions in commercial real estate while enhancing the profitability of retrofit projects.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 3 contacts → | ||||
Partial evidence “We turn retirement homes, office buildings, hospitals, retail markets, into smart, connected environments to help saving energy, creating new revenue opportunities and improving…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 3 contacts → | ||||
Indirect evidence “UNE SOLUTION QUI RÉVOLUTIONNE LE FACILITY MANAGEMENT Pour optimiser les coûts liés à l’exploitation de vos immeubles nous agissons sur l’entretien du parc technique, sur la…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 2 contacts → | ||||
Partial evidence “The all-in-one platform for managing your buildings.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 2 contacts → | ||||
Indirect evidence “Chez Néol, nous sommes des experts en intégration de solutions de performance énergétique.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 1 contacts → | ||||
Indirect evidence “Sitowie accompagne les décideurs immobiliers des secteurs public et privé dans la gestion durable des bâtiments, pour davantage de rentabilité, moins d’émission de carbone, de…” 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 22 of 53 machine learning for buildings companies based in France
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Machine learning for buildings companies based in France 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 France 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 France 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, 252 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.
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 France?
RevenueBase identified 53 machine learning for buildings companies headquartered in France 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?
Esmé Solutions, headquartered in Ivry-Sur-Seine, tops this list with the largest team on record.
Which city has the most machine learning for buildings companies?
Paris leads with 11 headquartered companies, followed by Lyon (3) and Nantes (3).
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 252 verified decision-maker contacts tracked across these 53 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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