A custom-printing wholesaler gets an email. It's a university department needing 500 hoodies in five sizes, with a custom logo, by a specific date. The sales rep opens it, checks the pricing spreadsheet, runs the constraints, drafts the PDF quote, and logs it. Questom's bet is that an AI agent should do all of that, instantly. The Y Combinator W26 company is building autonomous sales and support agents for a niche that runs on complex, manual inbound requests: B2B custom merchandise [Y Combinator FYI, 2026].
The Quote-as-a-Service Wedge
Questom's product surfaces as a conversational layer across a shop's existing channels. The technical claim is that its agents can read an incoming email, query the shop's specific ERP or pricing spreadsheet, apply business rules, and generate a detailed PDF quote without human intervention [Fondo, Jan 2026]. For wholesalers dealing with variables like size runs, artwork approvals, and bulk shipping, this targets the core, repetitive friction of their sales operation. Early production deployments are reported to automate up to 50% of related workflows [Fondo, Jan 2026].
A Team Built on Prior Iterations
The founders, Ritanshu Dokania and Abhimanyu Yadav, previously worked together building AI sales and support agents for custom merchandise [Fondo, Jan 2026]. Dokania's background includes engineering roles at Google and Tesla [Crunchbase]. The company is actively hiring its first founding engineers [Y Combinator].
| Founder | Role | Prior Experience |
|---|---|---|
| Ritanshu Dokania | Co-Founder | Google, Tesla, RefCodes, AffEasy [Crunchbase] |
| Abhimanyu Yadav | Co-Founder | Columbia University; previously built AI agents for custom merch [Fondo, Jan 2026] [Crunchbase] |
Where the Model Could Stumble
Success depends on flawless execution in a domain where a misquoted price or a mislogged order detail can erase margin. The current public traction is promising but early, with unnamed customers and an undisclosed seed round led solely by Y Combinator in 2026 [Y Combinator FYI, 2026].
- Integration depth. The value proposition collapses if the agent cannot reliably interact with a shop's legacy ERP, custom pricing sheets, and order management systems.
- Conversational complexity. Handling nuanced artwork revisions, compliance questions, or distressed customer service calls is complex.
- Economic proof. The model needs to demonstrate that the saved labor directly translates into retained revenue and scaled order volume for the shop.
For now, the Y Combinator stamp provides runway and credibility. The seed round buys time to harden the product and sign foundational customers [Y Combinator FYI, 2026]. The question for Ritanshu Dokania and Abhimanyu Yadav is whether they can move from automating quotes to owning the operational brain of the wholesale print shop.