- Specialization
- Not classified
- Business
- Software Applications
- Market
Hospitalityand 1 more market valuesLess
- Real Estate
- Ecosystem
- Agents
- Customers
Small Businessesand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Hospitality, Real Estate
- Customers
- Small Businesses, Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Series A
- Reported funding amount
- Not classified
About
Trellis builds AI agents for short-term rental property managers that automate guest communications, cleaning, maintenance, vendor coordination, and owner updates across their software stack. Its differentiation is end-to-end operational execution: agents maintain context across workflows and resolve tasks autonomously rather than acting as another point tool or chatbot.
Market
Trellis competes in vacation-rental and short-term-rental operations software, positioning itself as an AI operating layer that runs workflows across the operator’s existing technology stack. Its differentiation is end-to-end coordination—guest communications, cleaning, maintenance, and daily operations across 200+ tools—rather than focusing only on property-management software or a single communication channel.
Trellis targets short-term-rental property managers and hospitality teams operating vacation-rental, serviced-apartment, and broader STR portfolios. The product is especially suited to multi-property operators whose teams coordinate guest communications, cleaning, maintenance, and daily operations.
At a Glance
Problem
Trellis targets short-term and vacation-rental property managers whose operations become increasingly difficult and uneconomical as they add listings. Guest communications, cleaning, maintenance, owner updates, and vendor coordination are typically spread across five to ten disconnected tools, with teams manually stitching systems together and firefighting exceptions. The result is missed work, inconsistent service, weaker reviews, lost revenue, and growth that creates more problems rather than more profit.
The killer use case is resolving operational incidents end to end. For example, a broken shower or damaged property may require the operator to identify the reservation in the property-management system, gather context and photos, create a task, dispatch a cleaner or vendor, communicate with the guest, file a claim, and follow up until resolution. Trellis is aimed at removing that cross-tool coordination burden.
Product / Service
Trellis provides AI agents that act as an operating layer for vacation-rental businesses. The agents maintain context about the guest, property, issue, available workers, and outstanding tasks, then execute workflows from inquiry through checkout. They monitor channels such as Airbnb, Vrbo, WhatsApp, and email; respond to guests; coordinate cleaning and maintenance; manage owner updates, reviews, upsells, claims, and follow-up; and escalate only the work that still requires human judgment.
The product connects to more than 200 tools, including property-management systems, online travel agencies, messaging, scheduling, accounting, and business applications, so operators can run workflows without constant tab switching. Trellis presents the service as a managed deployment: an operator answers three questions, receives the agents their operation needs, gets white-glove setup, and can go live in seven days. The commercial promise is outcome-based adoption, with customers paying nothing until the AI reaches 70% autopilot accuracy, while Trellis claims the agents make execution more consistent and allow operators to scale with less manual coordination.
Market
Trellis competes in short-term-rental property-management software and the emerging category of AI-native operations automation. Its initial target is professional property managers, particularly operators managing roughly 10 to 50 listings and using fragmented systems for communications, tasks, workforce, smart homes, bookings, accounting, and revenue management. Named incumbents and adjacent competitors include Guesty, Hostaway, Lodgify, OwnerRez, Hospitable, and Breezeway, while AI guest-messaging products compete for narrower parts of the workflow. Trellis’s claimed distinction is that its agents run the entire operation rather than automate only replies or task management, although the broader unified-platform positioning is common among incumbents and the AI-agent advantage remains unproven.
Trellis is not pre-revenue according to its reported traction. Its Y Combinator company profile says that, within two months, it reached $500,000 in annual recurring revenue across 35 customers and 3,000 listings, grew approximately 15% week over week, and had one customer running day-to-day operations without a human involved. These figures are company-reported rather than independently audited, but they indicate meaningful early commercial adoption for a company listed as an active Spring 2026 Y Combinator startup.
Founders & Leadership
Funding History
QED Investors, NYCA Partners, General Catalyst
American Express
Recent News
Trellis published a guide comparing traditional multi-tool PMS stacks with AI-native property-management systems, including decision frameworks, pricing considerations, and red flags.
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Trellis sells an AI-agent operating platform to short-term rental property managers through recurring customer revenue; the company reported $500,000 in ARR across 35 customers. Its customer-acquisition model is free to start, with customers paying $0 until the AI reaches 70% autopilot accuracy; public list pricing is not disclosed.