供资
股柳融资 850万美元为贸易技术员建造 AI Agents 种子
在 Google 上的首选来源中添加 Unite.AI
ShareWillow拥有850万美元的种子资金融资，用于扩大AI agents，供维持家庭服务企业经营的技术人员使用。 纽约公司正在其业绩-工资平台上开发一个更宽广的产品，名为柳，旨在将工作技术人员每天的工作准备、辅导和收入的能见度联系起来。
参加该回合的有Lerer Hippeau、Circadians Ventures、以下12人、Charge Ventures和Notation。 ShareWillow计划利用资本扩展其平台，雇佣增长，扩大整合，并与特许品牌和私人股权平台建立家庭服务关系。
投资针对的是AI行业机会的另一部分：技术员的工作经验。 在自动化通常始于接听电话或减少后台工作的地方，ShareWillow的前提是，更好的业绩和薪酬信息可以帮助主人保留实际提供服务的人。
将工作数据与技术员连接
ShareWillow连接外地服务软件，包括ServiceTitan、Housecall Pro和Jobber，将业务活动与雇员奖励计划联系起来。 据该公司称，它的AI agents在工资单运行前会拉动工作数据，计算报酬，并标出缺失的信息。
技术员们使用移动应用程序，按工作及其在团队领导板上的位置来看收入工作。 目的是让工作与报酬之间的联系在它仍然可以影响行为的同时明显可见，而不是让雇员在报酬期结束时解释奖金。
称 Ryan Shank, ShareWillow的创始人兼首席执行官，在融资公告中
技术价值始于一体化。 补偿工作流程需要将适当的技术员、工作、业绩衡量标准和计划规则联系起来。 缺少或迟到的记录可能成为有争议的计算，因此，在发薪之前先查明差距是产品业务作用的一部分，而不仅仅是一个分析特征。
现有平台提供Agents背后的规则
该公司的产品网站新增与该工作流程的有用背景。 它描述了决定何时付款的可配置阈值，对角色和保有权等因素进行调整的模板，以及显示计算和历史奖的仪表板。 雇员也可以通过他们的仪表板获得计划协议。
这些能力围绕自动化建立了结构化补偿模式。 该制度不仅必须总结一项工作：它必须始终如一地将雇主的计划应用于基本记录，并使所得结果为被付款人所理解。
ShareWillow的公司职业网站也将其定位为ServiceTitan认证App，这支持在已经使用的系统内服务企业内部工作的战略，而不是要求它们取代其外地服务平台。
对于垂直软件公司来说，这些连接可以是一个重要的优势。 agent越接近实际的工作流程及其规则，其实用性就越不取决于每次拥有者手动提供上下文。
柳树将路线图延伸至薪酬计算之外
全柳agent平台规划2027年初开通。 ShareWillow 称的下一个能力将在电话之前向技术员介绍情况，在一周内用记录和球门提醒来指导他们，并且让所有者在应用之前先测试工资计划相对于实际工作的变化。
这一路线图应当与现有的奖励管理和收入跟踪平台区分开来。 供资公告介绍了作为下一阶段发展工作的更广泛短裤经验。
预告准备、持续辅导和计划模拟服务于不同的决定。 简报可以安排下一次访问的背景。 教练可以使目标的进展更容易理解。 对照历史工作测试计划可以帮助业主在雇员开始根据新规则工作之前审查新规则的效果。
最后一种能力与补偿软件特别相关。 一项计划可以在电子表格中看起来具有吸引力，同时在实际工作组合中产生意外结果。 模拟为在改变人们所依赖的奖励办法之前审查这些后果提供了一个途径。
公司报告的增长
ShareWillow 称数百家企业使用其平台，并报告过去18个月收入增长8倍。 它记录了去年超过14,000名技术员的付款，仅2026年9月，技术人员就通过平台获得200万美元的绩效工资。
该公司还报告说，拥有ShareWillow计划的平均技术员每月多带1 334美元回家。 这个数字是参与技术员公司报告的结果，而不是每个雇员的保证增加，或将平台的影响与企业的其他变化隔离开来的措施。
公告中的客户例子强调能见度和补偿。 Ron Williams)，本杰明·富兰克林·普勒姆宾(Benjamin Franklin Plumbing)和马里兰州海洋城(Ocean City, Maryland)的一小时加热 & Air(One Hour Heating & Air)的老板，称的技术人员密切监测他们的人数，计划帮助吸引了聘请。 Jarod Smith)的总裁
产品机会是将偶尔发生的行政活动变成不断解释良好业绩意味着什么。 这是否产生持久的保留取决于计划的质量、记录的准确性以及企业如何平衡奖励与客户服务和工作技巧。
技术员专用路线进入垂直AI
ShareWillow的下一个阶段是加入，计划扩大外地服务、薪金和会计一体化，反映出这些活动如何紧密地相互依存。
当产品承担更多责任时，目前可以评估一个有用的建议；收入计算也必须是可解释和可调节的。 对所有人和技术人员来说，业务数据、明确规则和可见的奖励之间的联系将比agent标签本身更重要。
种子回合给予ShareWillow资本来开发这个更广泛的平台。 接下来的考验是，在2027年初开始全面agent推出时，柳树能否将逐个工作收入的清晰度带入可靠的准备，辅导和规划工具。
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Funding
ShareWillow Raises $8.5M Seed to Build AI Agents for Trades Technicians
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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.
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