
Ladder is tying the price of its AI sales assistant to a concrete event: a home services representative selling a project. The company says it charges a flat fee for each sold project where its software is used, giving contractors a different way to pay for tools that record conversations, coach reps and handle follow-up work.
The product is aimed at salespeople meeting homeowners, rather than office workers moving through a conventional sales pipeline. A representative records the conversation, and Ladder uses it to provide advice and reduce the administrative work surrounding the visit. Its website lists follow-ups and CRM data entry alongside sales coaching.
The distinction in its pitch is who gets the benefit first. Ladder presents the assistant as something a rep can use to earn more commission, keep promises to customers and generate referrals. That framing addresses a practical adoption problem: a recording tool that primarily helps management review performance may give the person carrying it less reason to use it consistently.
In its launch announcement, Ladder says the product has been used across more than $100 million in jobs. That figure describes the value of projects associated with its use. It is not Ladder’s revenue, and the announcement does not establish how much of that work would have been sold without the assistant.
The pricing structure has a similarly important limit. Charging on a sold project links a bill to a business outcome, but it does not by itself demonstrate that the software caused the sale. Ladder’s website describes a flat fee per sold project where Ladder is used; it does not publish that fee on the page reviewed for this article.
The company also emphasizes work after the conversation. Its site lists personalized gifts and fulfilled promises as ways the assistant can help generate referrals, and positions reviews as another source of organic leads. These are the less visible parts of sales work that can be dropped when a representative moves straight to the next appointment.
Founders Will Cray and David Tondreau came to the problem from engineering and robotics. Cray previously led machine learning and computer vision work at Dexterity and worked on autonomous systems at Intel. Tondreau worked as an engineer at Rolls-Royce before spending five years at Dexterity across software and product engineering, according to his public YC profile.
Ladder participated in Y Combinator’s Winter 2025 batch. Its current website displays home services customers including Vertex Service Partners, Panda Exteriors and Findlay Roofing. Those customer references and the project-volume figure are company-provided evidence of adoption; the launch offers no independent measurement of the assistant’s effect on conversion rates.
The product’s commercial test is therefore quite specific. Reps have to find enough value in the advice and reduced paperwork to keep recording their visits, while employers have to find the per-project charge worthwhile. Ladder has made the sale itself the billing event. Sustained use by the people doing the selling will determine how often that event occurs.