Company lists · Data refreshed September 2026
Top 25 Big data startups property companies based in the United Kingdom
RevenueBase identified 70 big data startups property companies headquartered in the United Kingdom as of September 2026 and tracks 1,101 professional contacts across them, including 370 with verified work emails and 68 with mobile numbers. London is the largest hub.
This list covers big data startups property 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 7, 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 big data startups property companies based in the United Kingdom
Ranked by team size| # | Company | RevenueBase Smart Search | Contacts | ||
|---|---|---|---|---|---|
| 1 | Partial evidence | 113 contacts → | |||
“Our transformative property management software and solutions help support many of the world’s leading real estate companies, helping ensure their future success by providing…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 2 | Partial evidence | 98 contacts → | |||
“If you’re involved in the residential property market, you need Hometrack.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 3 | Indirect evidence | 93 contacts → | |||
“We’ve recently renamed our wider business to ‘Houseful’, which is why the name might be new to you.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 4 | Strong evidence | 58 contacts → | |||
“Nimbus is a data-driven property intelligence platform transforming how professionals research and assess opportunities.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 5 | Strong evidence | 47 contacts → | |||
“The all-in-one property and planning data platform to help UK residential and commercial developers streamline workflows and maximise portfolios.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 6 | Partial evidence | 46 contacts → | |||
“Trace Solutions is a leading supplier of software and services to the property management industry.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 7 | Strong evidence | 40 contacts → | |||
“The internet's most transparent & comprehensive property data platform In its most simple terms, Sprift brings together everything you really need to know about any property, to…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 8 | Partial evidence | 29 contacts → | |||
“Property Valuation as it should be.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 9 | Partial evidence | 27 contacts → | |||
“Whether you’re using building data to analyze, visualize or build, the chaotic state of that data is wasting your time, money and other resources.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 10 | Partial evidence | 20 contacts → | |||
“Landmark Estate Agency Services (LEAS) have been providing solutions for over 20 years to address the daily pain points experienced by property professionals.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 11 | Partial evidence | 20 contacts → | |||
“Invida is a real estate and property technology company that develops and provides industry-leading SaaS solutions to owners and operators of large or complex property portfolios.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 12 | Indirect evidence | 19 contacts → | |||
“REalyse (pronounced 'realise') is a technology company that helps real estate professionals stay ahead of the market.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 13 | Partial evidence | 17 contacts → | |||
“Built AI is an AI-powered platform that enables real estate investors to make the best data-driven investment decisions.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 14 | Indirect evidence | 13 contacts → | |||
“Coyote is award-winning commercial real estate software, transforming the way that real estate businesses buy and manage assets globally.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 15 | Partial evidence | 12 contacts → | |||
“Our experienced team of analysts, data scientists and economists are ready to assist with local or national market reports, development assessments, demand studies, pricing…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 16 | Partial evidence | 12 contacts → | |||
“Recognyte has combined years of real estate knowledge alongside cutting-edge artificial intelligence, machine learning, and large-scale data collection, to reshape the landscape…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 17 | Indirect evidence | 9 contacts → | |||
“FYMA helps maximize commercial real estate value generation through better occupancy and human activity analytics.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 18 | Partial evidence | 6 contacts → | |||
“Aprao is a cloud based tool for creating and managing property development appraisals and feasibilities.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 19 | Partial evidence | 5 contacts → | |||
“Kolytics revolutionises real estate investment research by pioneering innovative solutions that merge data, models, and analytics into a unified, collaborative platform.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 20 | Indirect evidence | 5 contacts → | |||
“ByltInsyte is a member of the InsyteGroup and focuses on the development of Business Intelligence & Analytics solutions for the Built Environment.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 21 | Partial evidence | 4 contacts → | |||
“Landworth endevours to understand and predict property prices, with AI-Powered tools that help anyone developing or investing in the UK property market discover, analyse and close…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 22 | Indirect evidence | 3 contacts → | |||
“BOOM!” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 23 | Partial evidence | 3 contacts → | |||
“Hello, we are Gigabyte; we specialise in software for the property industry.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 24 | Partial evidence | 3 contacts → | |||
“Vepler is a property intelligence company providing tools and solutions for professionals who need property insights.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 25 | Strong evidence | 3 contacts → | |||
“Houseprice.AI is a dynamic company built around the use of Big Data, Artificial Intelligence and Machine Learning.” Source: company website · checked Sep 7, 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: big data startups property 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 big data startups property companies.
- Partial evidence
- Its own public description names part of big data startups property companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name big data startups property 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 70 big data startups property companies based in the United Kingdom
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Big data startups property companies based in the United Kingdom at a glance
As of Sep 7, 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 big data startups property 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 “big data startups property 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 big data startups property 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 big data startups property 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, 370 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 7, 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.
Big data startups property companies by metro
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 big data startups property 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 big data startups property companies are there based in the United Kingdom?
RevenueBase identified 70 big data startups property 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?
Lavanda, headquartered in London, tops this list with the largest team on record.
Which city has the most big data startups property companies?
London leads with 45 headquartered companies, followed by Birmingham (2) and Newcastle Upon Tyne (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 370 verified decision-maker contacts tracked across these 70 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 7, 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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