- Specialization
- Speech
- Business
- Software Applications
- Market
- Cross Industry
- Ecosystem
- Agents
- Customers
Small Businessesand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Speech
- Market
- Cross Industry
- Customers
- Small Businesses, Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Questom deploys AI-powered sales agents that engage, qualify, and convert inbound leads across voice, chat, and SMS, integrating with existing CRM and workflows. It targets businesses needing always-on lead response and consistent qualification, differentiating through real-time, omnichannel engagement and automated follow-up.
Market
Questom operates in vertical B2B sales-automation and AI-agent workflow software, with a current Trelium-branded focus on branded-merchandise and custom-printing operations. Its differentiation is domain-specific execution: agents learn each company’s catalog, pricing rules, exceptions, approval flows, lead times, and CRM/ERP logic, then execute conversations and back-office workflows across connected systems. Compared with broader contact-center, e-commerce helpdesk, and social-messaging platforms, Questom/Trelium is positioned around end-to-end order and revenue operations rather than isolated support tickets, chat automation, or marketing funnels.
Questom targets suppliers, distributors, decorators, print shops, wholesalers, and branded-merchandise businesses with repetitive inbound sales and operational workflows. Key buyers include small custom-print shop owners, operations managers, sales representatives, account managers, and customer-support leads who need faster qualification, quoting, order entry, follow-up, and status communications.
At a Glance
Problem
Questom, now presented on its website and YC profile as Trelium, addresses a common problem in lean B2B businesses—especially suppliers, distributors, decorators, print shops, and branded-merchandise companies—where revenue depends on phone calls, email, chat, and other everyday customer conversations. The same small teams often have to answer inquiries, gather order details, apply catalog and pricing rules, prepare quotes and re-quotes, coordinate suppliers and production, and provide status updates. The result is slow response times, missed inquiries, repetitive administrative work, and lost or delayed revenue.
The economics are tangible. Trelium says that manually reading an order email, extracting the transaction details, and entering them into an operating system takes 8–12 minutes per order; at 200 orders per month, that represents roughly 35 hours of operations time before accounting for errors. Its central use case is therefore turning inbound inquiries and orders into accurate quotes, structured orders, follow-ups, and status updates without requiring staff to perform every step manually.
Product / Service
Trelium is an AI-agent platform for branded-merchandise operations and inbound B2B sales. Agents are configured around a company’s catalog, pricing, discounts, exceptions, constraints, approval flows, lead times, and CRM or ERP logic. Teams can describe workflows in plain English, while the agents read unstructured inputs, interpret context, take actions in connected business systems, log outcomes, and route exceptions to people when human judgment is needed.
The agents operate inside channels businesses already use, including phone, email, website chat, SMS, and WhatsApp, and can automate order entry, quote creation, purchase-order intake, PO-to-invoice matching, artwork and proof handoffs, reorders, supplier monitoring, customer updates, and follow-ups. The delivery model appears to be a demo-led, predictable monthly service priced according to the team and active workflows. The intended benefit is faster first response, fewer missed leads, more consistent and accurate quoting, reduced operational workload, and more revenue captured from existing demand.
Market
Questom/Trelium competes in the emerging market for AI agents and workflow automation, with a vertical focus on branded-merchandise and print-industry operations. Its positioning is more specialized than general-purpose automation: the company explicitly distinguishes its production-workflow agents from Zapier-style app triggers, traditional RPA, and ChatGPT-style one-off chat. Those tools, along with generic AI sales and workflow-agent platforms, are the clearest substitutes identified in the available evidence; no named direct competitor focused specifically on branded-merchandise operations was established.
The company appears to be early-stage but commercially active rather than merely conceptual. YC lists Trelium as founded in 2025, part of the Fall 2025 batch, active, San Francisco-based, and a six-person company. Its published early results claim pilots with wholesalers, print companies, and multi-location brands, including up to 50% of inbound sales conversations automated, backlog reduction within days, and more quotes sent. The company also describes an inbox-to-Qualia agent as live and deployed and publishes demo-led pricing, but the available evidence does not disclose revenue, customer count, or a definitive profitability status; it is best characterized as an early commercial/pilot-stage startup rather than assumed to be pre-revenue.
Founders & Leadership
Funding History
Y Combinator
Recent News
Trelium described its Y Combinator journey and its strategy for building AI agents that automate business operations. The Questom.ai site presents the company under the Trelium brand.
Active Roles
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Get notified when they postBusiness Model
Questom sells B2B software subscriptions for AI agents and automated workflows. Its public pricing page shows a $499-per-month starter estimate, while actual quotes are tailored to team size, seats, workflows, and integrations, with pricing scaling roughly according to team size and active workflow count.