ShareWillow 融資 850 萬美元種子輪，開發服務技術人員 AI Agent

ShareWillow has raised $8.5 million in seed funding to expand AI agents for the technicians who keep home service businesses running. The New York company is building on its performance-pay platform with a broader product called Willow, designed to connect job preparation, coaching, and earnings visibility around the work technicians do each day.

The round includes participation from Lerer Hippeau, Circadian Ventures, Twelve Below, Charge Ventures, and Notation. ShareWillow plans to use the capital to expand its platform, hire for growth, extend integrations, and build relationships with franchise brands and private equity platforms in home services.

The investment targets a different part of the AI opportunity in the trades: the technician’s experience on the job. Where automation often begins with answering calls or reducing back-office work, ShareWillow’s premise is that better information about performance and pay can help owners retain the people who actually deliver the service.

Connecting Job Data to Technician Earnings

ShareWillow connects to field service software, including ServiceTitan, Housecall Pro, and Jobber, to link operational activity with employee incentive plans. According to the company, its AI agents pull job data, calculate payouts, and flag missing information before payroll runs.

Technicians use the mobile app to see earnings job by job and their position on a team leaderboard. The aim is to make the connection between work and compensation visible while it can still influence behavior, rather than leaving employees to interpret a bonus at the end of a pay period.

“When a tech can pull out their phone and see what that last job paid them, they start running the call like an owner,” said Ryan Shank, ShareWillow’s founder and CEO, in the funding announcement.

The technical value begins with integration. A compensation workflow needs to connect the right technician, job, performance metric, and plan rules. Missing or late records can become disputed calculations, so identifying gaps before payroll is part of the product’s operational role, not simply an analytics feature.

The Existing Platform Supplies the Rules Behind the Agents

The company’s product website adds useful context to that workflow. It describes configurable thresholds that determine when payouts occur, templates with adjustments for factors such as role and tenure, and dashboards showing calculations and historical awards. Employees can also access plan agreements through their dashboard.

Those capabilities establish a structured compensation model around the automation. The system has to do more than summarize a job: it must apply the employer’s plan consistently to the underlying records and make the result understandable to the person being paid.

ShareWillow’s company careers site also identifies it as a ServiceTitan Certified App and describes syncing jobs, technicians, and payroll data. That supports a strategy of working inside the systems service businesses already use, rather than requiring them to replace their field service platform.

For a vertical software company, these connections can be an important advantage. The closer an agent sits to the actual workflow and its rules, the less its usefulness depends on an owner manually supplying context each time.

Willow Extends the Roadmap Beyond Pay Calculations

The full Willow agent platform is planned for early 2027. ShareWillow says the next capabilities will brief technicians before calls, coach them through the week with streaks and goal reminders, and let owners test changes to a pay plan against real jobs before applying them.

That roadmap should be distinguished from the existing incentive-management and earnings-tracking platform. The funding announcement presents the wider brief-and-coach experience as the next stage of development.

Pre-call preparation, ongoing coaching, and plan simulation serve different decisions. A briefing can organize the context for the next visit. Coaching can make progress toward a goal easier to understand. Testing a plan against historical jobs can help an owner examine the effect of new rules before employees begin working under them.

The last capability is especially relevant to compensation software. A plan can look appealing in a spreadsheet while creating unexpected results across a real mix of jobs. Simulation offers a way to examine those consequences before changing the incentives people rely on.

Company-Reported Growth Shows Demand for Performance Pay

ShareWillow says hundreds of businesses use its platform and reports eightfold revenue growth over the past 18 months. It recorded more than 14,000 technician payouts in the past year, with technicians earning $2 million in performance pay through the platform during September 2026 alone.

The company also reports that an average technician with a ShareWillow plan takes home $1,334 more per month. That figure is a company-reported outcome for participating technicians, rather than a guaranteed increase for every employee or a measure isolating the platform’s effect from other changes in a business.

Customer examples in the announcement emphasize visibility as well as compensation. Ron Williams, owner of Benjamin Franklin Plumbing and One Hour Heating & Air in Ocean City, Maryland, said his technicians monitor their numbers closely and that the plan has helped attract hires. Jarod Smith, president of Clogbusters in Des Moines, described uncapped earning potential and employees’ ability to see where they stand.

The product opportunity is to turn pay from an occasional administrative event into an ongoing explanation of what good performance means. Whether that produces lasting retention depends on the quality of the plan, the accuracy of the records, and the way a business balances incentives with customer service and workmanship.

A Technician-Focused Route Into Vertical AI

ShareWillow’s next phase joins an established compensation workflow with agents intended to help people prepare and improve, not just calculate what they earned afterward. Its planned expansion across field service, payroll, and accounting integrations reflects how tightly those activities depend on one another.

The startup’s challenge is to preserve trust as the product takes on more responsibility. A useful suggestion can be evaluated in the moment; an earnings calculation must also be explainable and reconcilable. For owners and technicians, that connection between operational data, clear rules, and visible rewards will matter more than the agent label itself.

The seed round gives ShareWillow capital to develop that broader platform. The next test is whether Willow can carry the clarity of job-by-job earnings into dependable preparation, coaching, and planning tools when its full agent rollout begins in early 2027.