Max Jai Sim and the problem of being everywhere

Six seats make a restaurant small enough for a proprietor to know the room. Four restaurants, with 80 seats apiece, present a rather different seating plan. Max Jai Sim helped as his mother built her business from the first arrangement into the second. Years later, running a software company in Seattle, he would return to a problem contained in those numbers: how does an owner keep paying attention when the business becomes too large to see all at once?

That question gives Meadow AI, the company he co-founded and leads, a personal starting point. A restaurant has a public face and a considerable backstage operation. Guests encounter a greeting, a counter, a table. Somebody else has to make the staffing, stock and service fit together. Success adds locations, and locations add distance between the owner and the moment something needs doing.

Sim's family operated restaurants in South Korea. His career took him through applied physics, telecommunications, lunch delivery and real estate software before he began building tools for restaurant and retail operators. Read as a list, those stops seem restless. Read through the problem of making complicated operations easier to understand, they begin to resemble a route.

A physicist takes a different set of measurements

Sim studied applied physics at Cornell and earned a PhD in applied physics at Harvard. His Harvard education ran from 2010 to 2015. An old roster for Shriram Ramanathan's research group lists Jai Sim among its graduate students, with T-Mobile recorded as his next destination. Even the archived table contains the beginnings of a change in subject.

At T-Mobile, his work covered marketing and product strategy. At Peach Delivery, he became head of marketing and analytics. These jobs put him closer to the decisions a business makes about its customers: what to offer, how to explain it and how to tell whether the effort has worked. A doctorate does not prescribe a career. In his case, it preceded one spent moving between technical systems and commercial decisions.

Peach also supplied a future collaborator. Sim and colleague Alex Day had been discussing real estate when Day bought a house in Bellevue, Washington. The closing process offered them an opening. Finding a property had acquired a modern digital interface; getting the transaction finished still involved an awkward amount of manual work. An industry could look thoroughly computerized from one end and surprisingly old-fashioned from the other.

The work after the house hunt

Day, Sim and Abbas Guvenilir tested their idea at a Madrona Venture Labs hackathon. They won first place, left their jobs and built Modus, founded in 2018. The company worked on title and escrow, the less photogenic stretch of buying a home. It is difficult to put escrow on a postcard. It is rather easier to notice when it goes wrong.

Modus combined software with the actual business of closing transactions. It merged with Best Escrow and developed a secure web application for communication between clients and agents. The ambition required more than a cleaner screen. The product had to fit a process involving money, documents, professionals and anxious buyers who wanted to know what happened next.

By October 2019, Modus had facilitated more than $1 billion in residential purchases and grown beyond 50 employees. A $12.5 million financing round, co-led by NFX and Felicis Ventures, gave the company resources to expand. Sim served as co-founder and executive chairman; Day was CEO. That division matters in a career often compressed into the convenient word “founder.” Building a company also means deciding who does which job.

The through-line to Meadow is visible here, although the two businesses sell different things. Both deal with work that continues after the attractive, easily digitized part of an experience. A home search ends in a closing. A restaurant order sits inside a shift. The administrative and operational details determine whether the promise made to the customer survives contact with the day.

What an acquisition carries with it

On October 5, 2020, Compass announced an agreement to acquire Modus. Its announcement described a team of more than 60 people across product, engineering and operations, and a plan to bring home-closing software into Compass's broader platform. The transaction terms were undisclosed. The public milestone was the acquisition of a functioning operation, with people as well as code.

A later LinkedIn post gives a more personal view of what Sim valued in that operation. After Compass layoffs affected Modus colleagues, he directed readers toward the team's people page and offered to make introductions. He asked his network to help former coworkers find opportunities. It was a practical request, attached to identifiable people rather than a general sermon about leadership.

“Modus was special not because of its technology or processes but because of its exceptional people.”

Max Jai Sim, on LinkedIn

His network also included Inspectify founders Josh Jensen and Denis Bellavance. He publicly identified himself as an early investor while congratulating them on a financing round. These glimpses show a founder remaining involved in the circle around his earlier company and Seattle's property technology businesses. They give the career a human scale that an acquisition announcement rarely supplies.

Back to the shop floor

Meadow was founded in 2023. Guvenilir joined Sim again, bringing both their Modus history and experience leading AI and engineering work at Nordstrom. CTO Dragos Velicanu brought a physics doctorate from MIT and a background in data engineering. The team combined familiarity with physical businesses and experience building the systems behind them.

Meadow emerged publicly in November 2025 with $6 million in total funding. Its initial market was restaurant and retail chains with 10 to 300 stores. The idea was to automate secret shopper audits and give operators a more immediate picture of how locations were running. Sim's family experience supplied part of the motivation for entering the market.

He described the sector as “essential to our daily lives, yet historically underserved by technology.” The phrasing makes his choice of customer plain. Restaurants and shops are familiar enough to fade into the scenery. For the people running them, every location is a collection of decisions that cannot simply wait for the next monthly report.

The platform combines information from cameras and audio with business systems such as sales, labor and inventory. Its stated job is to connect what happened on the floor with the records an operator already has, then send coaching or alerts. A receipt tells a business what sold. Understanding the encounter around that sale requires other information.

The distinction can be quite ordinary: a customer waiting, a station without coverage, a greeting missed during a rush. These are the kinds of events Meadow describes tracking. The software's usefulness depends on whether that information reaches somebody who can use it. Another report to read after closing would add work to a day already generously supplied with it.

Putting cameras and audio into that account of a working day also makes disclosure part of the product's operation. Asked about privacy when Meadow emerged from stealth, Sim said customers had updated employment agreements and disclosures to cover its use. That response describes a concrete step taken by customers. It also points to an ongoing management responsibility: the people on the floor need to understand the systems being introduced around them. For software described as a co-manager, the relationship with the existing team is part of the work. A useful observation has to arrive inside a workplace that knows how it was obtained and what it means.

The customers named on Meadow's site put recognizable businesses around the proposition. Salata founder and CEO Berge Simonian describes the value of giving franchisees and the franchisor a common view of operations. Jumping World owner and CEO Hwan Kim points to deployment of teams and consistency across large venues. These are customer endorsements, rather than independent measurements, but they describe the management conversations Sim's product is meant to support.

The next shift

On September 29, 2026, Meadow announced $7 million in new funding led by Ulu Ventures. Including earlier financing converted from SAFEs, its reported total reached $13 million. The company said it had 17 employees and was expanding engineering, product and commercial teams. Tanvir Bhangoo, previously a vice president at Toast, joined as chief revenue officer.

At that point, Meadow reported more than nine customer brands, over $3 million in contracted annual recurring revenue and more than $1.4 million in live annual recurring revenue. Contracted and live revenue describe different stages of the business. Keeping them separate gives a clearer picture of Sim's next task: getting a growing commercial commitment into everyday operation.

Bhangoo's October writing sets out the commercial test facing that effort. He argues that restaurant AI should be judged through specific changes in unit economics, with clear pilot criteria and a rollout plan. For Sim's company, that means the case for adoption has to make sense at the location level. An owner needs a reason to care that survives the presentation.

There is a useful discipline in returning to the six-seat restaurant. Scale can become an abstraction surprisingly quickly, expressed in rounds, teams and recurring revenue. The family business supplies a smaller unit of attention: a person arriving, a worker noticing, an owner trying to keep a promise across more than one room. Sim has built his latest company around helping that attention travel farther.

The question now belongs to the next shift. Can the information become useful soon enough for a team to change what happens? For a founder whose route has passed through laboratories, lunch delivery and home closings, the test is agreeably concrete. Somewhere, a customer is waiting to be served.