Martin Kay and the trouble with buying one house an hour

Martin Kay has a useful way of making a familiar activity sound faintly absurd: try buying a house every hour. Most people can spend months choosing one. There are neighborhoods to consider, numbers to check, inspections to arrange and somebody, somewhere, waiting for a signature. Now give that process a stopwatch. The lawn remains picturesque. The administration becomes considerably less so.

That change in tempo is where Kay found a business. As co-founder and chief executive of Entera, he builds tools and services for professional investors in single-family homes. In a 2019 interview, he described the difference between the occasional homebuyer and an investor trying to buy “one house an hour.” Repetition changes the job. Finding an attractive property is only the beginning; making the next hundred decisions consistently is the harder assignment.

Kay’s interest includes the gap between a recommendation and a completed purchase. A machine can narrow a search. A transaction still requires negotiation, inspection, coordination and a closing. His company has kept those activities together, marrying software to brokerage and local services. It is an unusually practical ambition for a technology founder: make the whole untidy business work, right through to the keys.

First, teach the computer about kitchens

Before Entera, Kay was co-founder and CEO of Greenlet Companies. His public career record places that role between 2011 and 2017. He studied at the University of North Carolina at Chapel Hill, and his own experience buying rental properties gave him a view of the decisions his future customers would face. The combination matters: he came to housing with both a data background and money committed to actual houses.

An early account of Entera’s work offered a wonderfully domestic example of machine learning. Kay’s team used thousands of kitchen photographs to teach software what a kitchen looked like, then the characteristics of a chef’s kitchen: more space, multiple sinks, higher-end appliances. A phrase that sounds obvious in a property advertisement turns out to contain a surprising amount of information. Someone has to teach the machine what the agent means.

He compared the matching process to Netflix. The point was to learn preferences and reduce an overwhelming map of listings to a handful of suitable homes. Local team members then went to see properties. It was an admission built into the business model: a photograph can tell you something useful about a kitchen, but a person still needs to walk through the door. Kay’s explanation of the appeal was disarmingly plain: “I love it because it matters.”

“I love it because it matters.”Martin Kay, on real estate data

The investors bought into the plumbing

Entera’s early financing showed who thought this problem was worth solving. In November 2019, the company announced $7.5 million from a round led by Bullpen Capital and Craft Ventures. ValueStream Ventures and Chris Heller, the former Keller Williams CEO, also participated. The combination brought venture investors together with someone who knew the brokerage business. Kay was selling technology into a trade with an established way of getting things done.

At that stage, Entera described operations across 13 markets. Its pitch combined on-market and off-market property access, machine-learning discovery, decision tools and local transaction services. Kay likened the ambition to the convenience of online investment brokerages such as E-Trade and Charles Schwab. A house, of course, is less cooperative than a share certificate. It comes with a roof, a location and the occasional surprise behind a wall.

The attraction was the possibility of doing complicated work repeatedly without rebuilding the process each time. Investors could bring their criteria; Entera would help turn those criteria into purchases. That distinction explains why Kay’s audience was professional buyers and funds. A platform designed around recurring decisions has a different purpose from a site that helps a family fall in love with a particular front porch.

A larger cheque, and a larger assignment

In June 2021, Entera announced a $32 million Series A led by Goldman Sachs Asset Management, with Bullpen, Craft and ValueStream returning. The announcement put cumulative home transactions through the platform at nearly $1 billion across 24 markets, with transaction volume up fivefold year over year. Those were company figures for that moment, measuring activity through the platform rather than homes Kay personally owned.

The new money was intended to support expansion of the software and services business. Kay described the difficulty of scaling single-family investing and the need to bring decisions and execution into one place. The problem was becoming larger in both directions: experienced owners wanted to expand, while newcomers needed a way to enter markets without assembling every part of an operation themselves.

Funding made the assignment more demanding. A bigger platform has to preserve the local details that made its recommendations useful in the first place. A national view can help compare markets; an individual purchase still happens on one street. Kay’s model asks data specialists, transaction staff and local professionals to work across that difference in scale. The cheque pays for the attempt. The completed deals test it.

The builder joins the conversation

By August 2023, Entera was describing a marketplace with three participants: buyers, sellers and service providers. It reported more than 15,000 single-family transactions worth $5 billion across 29 US markets. The company also received the PropTech Breakthrough award for Real Estate Search Solution of the Year. Kay’s explanation of the work emphasized products that helped the different participants work together.

New construction had become part of that effort. Entera’s construction module brought inventory from national and regional builders into the marketplace, spanning land through completed homes and including negotiated pricing for investors. That expanded the set of people whose decisions had to line up. A builder wants to sell inventory. An investor wants properties that meet a strategy. Service providers need enough information to carry the transaction forward.

This is where Kay’s interest in coordination becomes visible. Each participant has a perfectly sensible objective, and their objectives do not automatically produce a smooth transaction. Getting them onto the same system is an operational challenge as much as a search problem. There is room for algorithms here, certainly. There is also plenty of room for somebody to answer a question before it holds up everything else.

The earlier business had unfinished business

Kay’s business history also includes a dispute with his former wife, Laura Yosowitz, concerning Greenlet and obligations arising from their divorce agreement. On October 16, 2025, Texas’s Fourteenth Court of Appeals issued an opinion on rehearing, replacing its July opinion. It affirmed a $378,470.08 direct-claim award against Kay and reversed a $53.9 million derivative award tied to claims brought on Greenlet’s behalf.

The court found the evidence did not support measuring Greenlet’s damages through Entera’s share value. It also allowed Yosowitz to elect an alternative remedy on remand based on other favorable jury findings. The distinction matters: the large derivative award was reversed, while the direct award stood. These were separate parts of a dispute linking the earlier company, its technology and the arrangements intended to follow it. The October ruling remains a specific, dated part of Kay’s public record.

Leave the relationship work to the people

In April 2026, Kay returned to his central preoccupation in a two-part Uncontested Investing conversation: how to make the work easier without losing the people who make it happen. He described entrepreneurship in terms of seeking difficult problems. His account of AI was similarly grounded in operations, with machines taking on repetitive effort so people could spend time on relationships, design and thinking.

He discussed a goal of reducing costs by 50 to 60 percent and moving work three or four times faster. Those are ambitions he articulated, rather than a promise that every transaction already meets those numbers. That difference is useful when listening to a founder. The desired improvement tells you what he is trying to build; the actual transaction tells you whether the tools are helping.

In the second conversation, Kay gave his executive team and early employees credit for making progress possible. Without them, he said, “I don’t get anything done.” It is a compact account of a CEO’s dependency on other people. The familiar founder performance, all enthusiasm and conviction, has a practical limit. Someone still has to build the product, support the customer and move the transaction along.

His current colleagues include co-founder and CTO Greg Morrison, CFO and CSO Jen Yu Wang, and co-founder and brokerage leader Robert Salmons. Their titles sketch the demands of the operation: technology, finance, strategy and real estate practice. Kay also speaks about trust and the value of showing up at industry events. For a company built around remote tools, there is a pleasing amount of importance attached to being in the room.

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A house still has an address

Entera now describes its mission as building the infrastructure for residential real estate. Its company page reports approximately $60 million raised and combines data, AI-assisted decisions, workflow tools, local market knowledge and transaction support. The vocabulary has broadened since the early property-matching pitch, but the underlying concern is recognizable: how does a decision become a finished piece of work?

Kay is based in Austin, while Entera identifies Houston and New York City as its headquarters. In the 2026 conversation, he also discussed family, athletics and new business ideas as ways of recharging. The entrepreneurial curiosity extends beyond the working day, at least in his telling. The industry he has chosen provides a reliable supply of things to think about.

Buying one house an hour remains a useful way into his story because it makes the real difficulty visible. Speed magnifies every unresolved handoff. The ambition Kay has carried from rental investing into Entera is to give that work a repeatable shape. The kitchen needs understanding, the numbers need checking, the people need coordinating. Eventually, after all the analysis, somebody has to open the door.