Dwelly vs CoStar
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered UK lettings rollup. 10K+ properties. $93M raised (Feb 2026). Ex-Uber/Gett founders. Targeting top-5 UK letting agency. Backed by General Catalyst.
About
Dwelly is an AI-powered residential lettings company operating in the United Kingdom, founded by ex-Uber and ex-Gett operators who applied ride-sharing's rollup and technology playbook to the fragmented UK property lettings market. The company's thesis is that the UK letting agency industry — dominated by thousands of independent high-street agencies with inconsistent service quality and high tenant fees — is ripe for consolidation and technology-led disruption. Dwelly acquires or partners with existing letting agencies and centralizes operations on a proprietary AI platform that automates tenant matching, maintenance routing, lease management, and landlord reporting.\n\nDwelly's platform manages more than 10,000 properties across its UK portfolio, making it one of the largest AI-native letting operations in the country. The technology layer automates the high-volume, low-complexity tasks — tenant screening, viewing scheduling, reference checks, and routine maintenance coordination — that consume the majority of a traditional letting agent's time. This allows Dwelly to operate at substantially lower cost per unit than traditional agencies while maintaining service responsiveness. The company's long-term ambition is to become a top-five UK letting agency by portfolio size.\n\nDwelly raised $93 million in February 2026 with backing from General Catalyst, one of the most active proptech investors globally. The round validates the rollup-plus-AI model for property management and gives Dwelly the capital to accelerate both organic growth and agency acquisition. The UK private rental sector manages approximately 4.6 million properties, representing a large and structurally fragmented market. Dwelly's operator-grade founding team, institutional backing, and technology-enabled efficiency position it as the leading AI-native contender for national scale in UK lettings.
$2.74B revenue 2024 (+11% YoY); $732M Q1 2025 revenue (+12% YoY); 56th consecutive quarter double-digit growth; 134M+ monthly unique visitors Q4 2024; 6,400+ employees in 14 countries
About
CoStar Group is the leading provider of commercial real estate data, analytics, and marketplace platforms, founded in 1987 in Washington, D.C. by Andrew Florance. The company was built on the conviction that commercial real estate — one of the world's largest asset classes — was fundamentally underserved by reliable data, and that building a proprietary research infrastructure to collect, verify, and distribute property information would create a durable competitive moat. CoStar's core technology combines a massive field research organization with digital data collection tools to maintain the most comprehensive commercial real estate database in the world.\n\nCoStar's product portfolio spans multiple platforms serving different segments of the real estate market: CoStar for commercial real estate professionals, LoopNet for commercial property marketing, Apartments.com for multifamily rental search, Homes.com for residential real estate, and Ten-X for online commercial property auctions. This multi-platform strategy positions CoStar Group as the data and marketplace layer across every major real estate segment. The company attracted more than 134 million unique monthly visitors across its networks in Q4 2024, demonstrating the scale of its audience reach.\n\nCoStar Group reported $2.74 billion in revenue for 2024, an 11% year-over-year increase, marking its 56th consecutive quarter of double-digit revenue growth — a remarkable consistency streak in enterprise SaaS. The company's combination of proprietary data assets, marketplace network effects, and expanding residential real estate ambitions gives it multiple growth vectors as it targets the vast residential brokerage market that dwarfs its existing commercial business.
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