Four out of a hundred: where is property in Europe’s AI boom?

Joe Garner

Oct 28

3 min read

Sifted’s AI 100, published this month, ranks Europe’s most promising AI-native startups. Four of the hundred work in property or construction. One is tagged proptech.

The four

Dwelly (London, 7th) is an AI platform for UK residential lettings and property management. It was founded in 2023 and raised an €81.7m Series B in July, taking its total to €118.8m.

Endra (Stockholm, 32nd) uses AI for MEP engineering and has raised €63.7m since 2024. Services coordination causes a lot of programme and cost trouble on a scheme, so I can see why investors backed it.

Monumental (Amsterdam, 57th) builds bricklaying robots and has worked on more than 100 houses. Its founder says mortar and calibration were much harder than expected. I found that the most useful line in the report.

Build.inc (London, 100th) has 12 staff, was founded in 2024 and raised a €7.3m seed round in July.

London

The UK has 41 companies on the list and 40 of them are in London. Paris has 15 and Berlin nine. Dwelly and Build.inc are both London businesses.

The gap

The four have raised about €240m between them. The full hundred have raised €4.6bn. That gives property and construction around 5% of the funding and 4% of the places.

Fintech has nine companies and biotech has six. More than half the list is built for a single industry, so investors are happy to back specialists. Very few of those specialists work in property.

Physical work is being funded

European AI robotics startups raised €1.9bn in the first half of 2026. SoftBank put $200m into Gravis Robotics, which automates heavy construction plant. Investors are already putting money into construction sites.

Risk doesn’t explain the gap either. A failed building is serious, but so is a failed drug, and biotech has six places.

What I think holds us back

Data. Encord’s CEO points out that language models learned from the open internet and physical AI has nothing like it. Our industry has plenty of data in drawings, cost plans, valuations and monitoring reports. It sits across thousands of firms and is rarely shared in a form anyone else can use.

Buying. A fintech sells to a bank with a budget and a procurement team. A construction project has a client, contractor, subcontractors and consultants, all on thin margins, and the team changes with every job. That is a difficult customer for a software company.

Reasons for optimism

Sifted says Europe does well in fragmented, regulated, specialist markets. UK property fits that description, and two changes help.

The golden thread under the Building Safety Act requires information on higher-risk buildings to be kept up to date for the life of the building. It covers a small part of the market, but it is the kind of structured record the industry has been missing.

Labour is expensive and the workforce is shrinking. Uma’s CEO thinks a robot pays for itself faster in Europe than anywhere else, and construction feels the skills shortage as much as any industry.

What we can do

Firms like ours hold the data and know where the costs and delays come from on a scheme. If we work with founders and are willing to be early customers, investors will see the results they need to back more of them. I’d like to see more property names on next year’s list, and more of them from London.

Source: Sifted AI 100, October 2026. Read the full report.