Entera

AI-driven single-family rental investing platform enabling institutional investors to find, analyze, and acquire homes at scale

San Francisco, New York, Houston, United States
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About Entera
Entera is an AI-powered end-to-end SaaS and Services platform revolutionizing single-family residential real estate investing for institutional and mid-market investors. Founded in 2017 by Martin Kay (CEO), Gregory Morrison (CTO), and Robert Salmons (VP of Brokerage), Entera is headquartered in San Francisco with additional offices in New York, Houston, and 13 satellite markets across the US. The platform has facilitated transactions for over 15,000 single-family homes valued at approximately $5 billion. Entera aggregates listing data from multiple sources including iBuyers, MLS systems, auctions, and pocket listings, providing investors access to 215,000+ on and off-market properties. The platform uses advanced machine learning to analyze 2,000-3,000 individual data attributes per property to identify the best matches for investor criteria. Unique capabilities include AI recognition of subjective property qualities like kitchen characteristics and desirable neighborhoods. The platform suggests offer prices, remodeling budgets, and financial metrics, enabling investors to make decisions in approximately 3 minutes. Entera operates on a 2.25% commission model per transaction and has raised $32 million in Series A funding from Goldman Sachs Growth, Bullpen Capital, and Craft Ventures. The company's institutional clients include major SFR REITs like Invitation Homes (Blackstone) and American Homes 4 Rent.
Key Features

AI-powered property discovery and aggregation (18% more properties than MLS)

machine learning-based investment analysis with 2000-3000 data attributes per property

automated offer recommendations

financial return projections (cap rate

appreciation)

transaction facilitation and closing services

local expert network in 29 markets

off-market and pocket-listing access

comprehensive market analysis tools

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