Dwelly has announced a $170 million Series B round. EQT Group led the round, co-led by General Catalyst and Trinity Capital, with participation from s16vc, Begin Capital, and DVC. The round brings Dwelly’s total funding to date to $260 million.
Founded in 2024, Dwelly has completed 16 acquisitions since then as part of a rapid consolidation strategy in the UK residential lettings market. The company now manages 15,000 properties, placing it among the UK’s top ten agencies, with $466 million in rent roll managed across its network. That scale positions Dwelly as one of the fastest-growing lettings platforms in the country, built almost entirely through acquisitions rather than organic growth alone.
Central to Dwelly’s model is a combination of human oversight and AI automation. Agency staff supervise the company’s AI agents and act as advisors to landlords and tenants, rather than being replaced by the technology. This structure allows each agent to handle more than 300 units, up from around 100 under a traditional staffing model, a roughly threefold increase in capacity per employee. The company frames this as a way to preserve the trust and relationship management that landlords and tenants expect from a letting agency while removing much of the manual administrative burden.
On the operations side, Dwelly said average maintenance resolution time is dropping from 50 days toward a target of 10 days, with AI already cutting resolution times by 30%. Faster maintenance turnaround is often one of the biggest pain points in residential lettings, affecting both tenant satisfaction and landlord costs, so a reduction of this magnitude would represent a meaningful operational improvement across the portfolio.
The platform also appears to be driving stronger demand generation for landlords. Dwelly said its system generates an average of 10 validated offers per property, compared with the one to two offers a traditional agency typically receives. That expanded pool of vetted offers gives landlords more choice and potentially stronger leverage when selecting a tenant, a contrast the company points to as evidence that its AI-driven approach is translating into tangible commercial outcomes rather than just operational efficiency gains.
