An airplane on an icy runway gives an engineer a rather unforgiving performance review. Early in his career at Boeing, Colin Wiel worked on a problem with little room for eloquence: getting the aircraft to stop. He recalls an antiskid braking system operating at 92 percent efficiency. Applying artificial intelligence, he says, brought that figure to 97 percent. Five percentage points can look modest in a presentation. On a runway, they acquire a certain presence.
That was decades before Qurrent, the San Francisco company he now leads with co-founder August Rosedale. It was also before the rental houses, the public listing and the property management business. Yet the braking problem offers a useful introduction to Wiel. His career keeps returning to places where a clever calculation has to survive contact with actual operations. The machine must stop. The renovation must finish. The payment must reconcile.
Today, his chosen problem is the work between the things companies put in their presentations. Invoices, contracts, collections, exceptions. Work with a budget attached and usually somebody waiting for it. Qurrent builds and manages digital workforces to perform those tasks. For a founder who has spent years assembling businesses around difficult operational details, the subject is familiar. The available machinery has changed considerably.
The engineer leaves the building
Wiel studied mechanical engineering at the University of California, Berkeley. At Boeing, his interests in robotics and automatic controls met a specific industrial problem. Conventional approaches struggled with the nonlinear behavior involved in braking. Artificial intelligence offered another way to tackle it. He has described those first years as an immersion in AI, including a place on Boeing’s AI Steering Committee while younger than the other members.
The work left a paper trail. A patent issued on July 11, 2000, names Colin T. Wiel as inventor of a fuzzy logic antiskid control system for aircraft, assigned to Boeing. Its description is concerned with wheel speed, the time since touchdown and adjustments to braking control. Read beside today’s discussions of chatbots, it is a reminder that AI had an industrial working life long before it became conversational.
Five points, measured on a runway.
Wiel’s recollection of the Boeing project. Bars show reported efficiency on a 0–100% scale; this is not a current aircraft performance comparison.
He nevertheless wanted to work for himself. Independent software consulting followed, with work for Hewlett-Packard, Oracle and Netscape. Java was becoming an important language for internet commerce, and experienced programmers were in demand. Wiel also developed and taught Java coursework at Berkeley Extension. Some of the students he taught later joined his consulting business, an unusually direct route from classroom assignment to client deadline.
One project involved the Java infrastructure for Charles Schwab’s online trading website. His software engineering firm grew to 35 people and was acquired. The progression matters: he had moved from solving a bounded engineering problem to building a business that sold technical judgment. The next turn would give that judgment something much less tidy to organize. Houses have an inconvenient habit of being in different places.
A house is easy. A thousand houses are an argument.
Wiel and Doug Brien connected through an investment group. By the financial crisis, they were discussing an idea many investors found unappealing: buying single-family houses and holding them as rentals. Foreclosed properties were available at distressed prices. Their plan required purchasing, renovating and leasing individual homes, then managing the resulting portfolio. Each address brought its own work. A spreadsheet could record the ambition; it could hardly repair the kitchen.
The partnership combined different experience. Brien had a real estate background and had played professional football, including on the San Francisco 49ers’ Super Bowl team. Wiel brought software and systems thinking. They were trying to make a dispersed collection of homes manageable at institutional scale. The opportunity depended on making many small decisions repeatedly, across properties that stubbornly refused to become identical.
A 2011 account of their earlier operation, Wiel Brien, shows the mechanics. Field staff entered property information into a shared system. Once the required information was complete, a workflow sent it for evaluation. An application could generate a maximum bid consistent with the intended profit margin. Another tracked renovations through to leasing. Wiel said they were closing on 30 to 40 houses a month with Salesforce supporting the operation.
Those details explain more than the eventual headline numbers. Buying houses was one activity; keeping acquisition, construction and leasing connected was another. The software helped turn a sequence of individual transactions into a repeatable process. There was no need for every house to be the same if the information about every house could travel through the same organized machinery.
A career map, not a comparison of the technologies.
Waypoint grew into a portfolio of more than 17,000 homes and raised over $3.5 billion. In 2014, Starwood Waypoint Residential Trust began trading on the New York Stock Exchange. Wiel’s responsibilities had included acquisitions, technology and fundraising. A venture built around individual homes now had public shareholders. For him, the next chapter would return to the day-to-day work behind the portfolio.
The second time, the customer owned the house
In 2016, Wiel and Brien founded Mynd. The distinction was consequential: Waypoint had bought and owned homes; Mynd provided management and investment services for other owners. Property management brings a durable collection of tasks. Collect rent, arrange repairs, find a tenant, keep the accounts straight. None becomes optional because the company has a polished app.
Wiel served as Mynd’s chief technology officer through November 2020 and as chairman. He described accounting and the movement of money as central to the product. The company built an accounting platform intended to let owners see what was happening at their properties. Its service combined software with the local work that houses demand. The owner might be remote; the maintenance problem remained emphatically on site.
Machine learning also entered the leasing process. Mynd used a proprietary algorithm to help its leasing staff prioritize prospects. The application was narrow and practical: deciding which inquiries should receive attention first. That is a revealing stop on the route to Qurrent. Years before selling digital workforces, Wiel was already working on how algorithms could change the queue on a human employee’s desk.
Mynd merged with Roofstock in May 2024. The announcement placed Mynd within the Roofstock corporate entity while keeping the Mynd name for property management. Brien became Roofstock’s president. The transaction joined services across the rental investment cycle, from finding and financing properties to leasing and managing them. It also put a formal marker on another period of Wiel’s work building infrastructure around residential real estate.
A new colleague, and a very old interest
By then, Wiel was already working on Qurrent. He has described the release of ChatGPT in November 2022 as a moment he had been waiting for throughout his career. He studied the new language models and began collaborating with Rosedale, the son of one of his close friends. Their shared project concerned autonomous agents capable of writing software.
The early system could work with existing code, edit files, run commands and correct errors. They launched Qurrent in May 2023. The question that followed was where to apply what they had built. Software engineering was demanding. Many other business processes involved repetitive computer work with clearer boundaries. They shifted toward an operating system for digital workers across business functions.
It is an intergenerational founding story with an unusually long technical preface. Wiel arrived with experience of earlier AI methods, internet infrastructure and operations businesses. Rosedale became Qurrent’s chief technology officer. Tony Ko joined the leadership as a founding member and chief customer officer. Their product would have to fit the particular habits and systems of each customer, then keep working after deployment.
“You need a partner that runs the work for you, end to end.”Colin Wiel, June 2026
The spreadsheet gets a service agreement
On March 12, 2026, Qurrent announced a $15 million Series A led by Cervin Ventures, with Streamlined Ventures participating. The company said it had completed more than six million operational tasks in production. Yahoo’s chief operating officer, Matt Sanchez, described deploying a Qurrent digital workforce as part of Yahoo’s broader use of AI and automation.
The emphasis became more specific in June, when Qurrent formally launched its AI business process outsourcing platform for finance leaders. Its proposed assignments included procure-to-pay, order-to-cash, reconciliation and financial planning operations. Qurrent reported more than 13 million tasks executed and $1.5 billion in payments processed annually. These are company-reported operating figures. They describe the scale of work Qurrent says it handles, rather than Wiel’s personal financial results.
Cumulative operational tasks reported by Qurrent in its March and June announcements. Task volume is not a measure of revenue or accuracy.
The commercial detail is the service agreement. Qurrent offers managed operations with performance commitments, taking responsibility for deployment and ongoing operation. A finance leader can therefore judge the service against completed work. For Wiel, whose earlier businesses required substantial operational staffing, that shifts the argument from what software can demonstrate to what a business can depend on.
In a July 2026 essay, he returned to a frustration from running services businesses: everyday operations absorbed capital that might otherwise fund growth. He argues that digital workers can change that cost structure. It is an aspiration grounded in a familiar managerial problem, although the economics will have to prove themselves customer by customer. The spreadsheets still get a vote.
There is another strand beyond the operating businesses. Wiel has helped launch conservation ventures, including Wildlife Works Carbon, and has been involved with the Mamoní Valley Preserve in Panama. Forests and finance workflows make an unlikely pair on a résumé. Both appear in a career that has moved between technical systems, investment and the practical organization of resources.
The aircraft patent remains an apt place to end up. It describes a system adjusting to changing conditions rather than assuming the surface beneath it will behave. Wiel’s current company faces its own variations: different contracts, different systems, different exceptions. After several decades of building, his chosen test remains concrete. There is work waiting. Can the machinery finish it?