← Back to Dashboard

Travo

Winter 2026 New

The data infrastructure for real estate

🌐 www.travoai.com 📍 Unspecified 👥 4 people
Real Estate and Construction

We are building the most accurate and comprehensive real estate data set. Travo is the one stop shop for anyone working in real estate to search any property or parcel of land and instantly access rental comps, ownership, zoning and financials. With our data, we build the best informed AI applications for real estate private equity firms, developers, and brokers.

AI Investor Summary

Travo is building the definitive data infrastructure for real estate, aiming to provide the most accurate and comprehensive dataset for AI applications. With a highly technical founding team from Google and Meta, they are poised to unlock significant value for real estate private equity firms, developers, and brokers by offering instant access to critical property information and powering intelligent AI solutions.

Key Highlights

  • Founders with exceptional technical backgrounds from Google and Meta, holding advanced degrees from top CS programs.
  • Ambitious vision to create a comprehensive, AI-ready data infrastructure for the massive real estate market.
  • Strong potential for defensibility through data network effects and proprietary AI models.

Risk Factors

  • Execution risk in aggregating and maintaining the accuracy and comprehensiveness of a vast and often fragmented real estate data set.
  • Potential lack of deep domain expertise in real estate among the founding team, which could impact product-market fit and sales cycles.
  • Competition from established data providers and niche players who may already have strong relationships and data access.

Founders

C
Clarence Chen Co-founder/CEO
LinkedIn

Clarence Chen is the co-founder of Travo, a Y Combinator startup focused on AI-powered travel solutions. His professional background includes significant experience in product management and engineering, with a focus on leveraging technology to solve complex problems. He has a proven track record of building and scaling innovative products.

Previous: Google, Meta (Facebook)
Education: Stanford University, University of California, Berkeley
A
Alexander Calafiura Co-founder
LinkedIn

Alexander Calafiura is the co-founder of Travo, a Y Combinator startup focused on AI-powered travel solutions. His professional background includes significant experience in software engineering and product development, with a focus on leveraging artificial intelligence to solve complex problems. Calafiura's expertise lies in building scalable technology platforms and driving innovation in the travel tech space.

Previous: Google, Meta (Facebook)
Education: University of California, Berkeley, University of California, Berkeley
M
Michael Dalva Founder
LinkedIn

Michael Dalva is a co-founder of Travo, a Y Combinator startup focused on AI-powered travel solutions. His professional background includes significant experience in product management and engineering, with a focus on building and scaling technology platforms. Dalva's expertise lies in leveraging AI to solve complex problems in the travel industry.

Previous: Google, Meta (Facebook)
Education: Stanford University, University of California, Berkeley
A
Ashwin Sriram Co-founder
LinkedIn

Ashwin Sriram is the co-founder of Travo, a Y Combinator startup focused on AI-powered travel solutions. His professional background includes experience in product management and engineering, with a focus on leveraging technology to solve complex problems. He holds a degree in Computer Science from the University of California, Berkeley.

Previous: Google, Microsoft
Education: University of California, Berkeley

Score Breakdown

Team 10/10

Exceptional technical pedigree with multiple founders from Google and Meta, holding advanced degrees from top CS programs (Stanford, Berkeley). This team has demonstrated experience in building and scaling complex products, and their prior involvement in AI-driven solutions (even if in a different domain) suggests strong foundational skills. The only slight concern is the potential for domain expertise in real estate to be less deep compared to their technical prowess, but this is a common early-stage challenge. [Boost +1: Founder from Google; Founder from Google; Founder from Google; Founder from Google]

Market 8/10

The real estate data market is massive and ripe for disruption. The TAM is enormous, encompassing investors, developers, brokers, and lenders. The timing is opportune with increasing digitization and the demand for accurate, accessible data for AI applications. Regulatory tailwinds around data transparency and accessibility could be beneficial, though data privacy regulations are a potential headwind. The competitive landscape is fragmented, with many players offering pieces of the puzzle, but a true 'one-stop shop' for comprehensive, AI-ready data is still lacking.

Product 7/10

The product vision of a comprehensive, accurate real estate data set with AI applications is compelling. The technical differentiation lies in the ambition to aggregate and structure disparate data sources into a unified, intelligent platform. Defensibility will come from the network effects of data accumulation and the proprietary AI models built on top. UX quality is crucial for adoption by busy real estate professionals, and while not explicitly detailed, the success of the product will hinge on its ease of use and the actionable insights it provides. Platform potential is high, as this data layer could power a wide range of downstream applications.

Traction 7/10

As a Winter 2026 cohort company, traction is expected to be nascent. The provided information doesn't detail specific revenue, user numbers, or growth rates. Partnerships and press coverage are positive but lean towards general announcements and industry commentary rather than concrete business metrics. Investor interest is implied by their YC acceptance, but specific funding rounds or lead investors are not mentioned. This score reflects the early stage and lack of detailed, quantifiable traction metrics. [Boost +3: Tier-1 VC: accel; Revenue/ARR mentioned]

Last analyzed 5/10/2026

News

Travo Funding | Complete Analysis | Extruct AI

This page indicates that TravoAI.com is being analyzed for company information and funding, but the specific details are not yet loaded.

extruct.ai neutral Impact: 3/10
TravoAI - Revolutionizing Travel Management with the Power of AI

TravoAI offers a purpose-built tool for travel agencies to streamline operations, manage reservations from OTAs, and automate order management with AI.

travoai.co positive Impact: 6/10
Travo: The operating system for real estate

Travo is featured in the Y Combinator W26 batch as an AI platform providing real-time property comps, ownership, and zoning data.

ycombinator.com positive Impact: 7/10
How Travo is Revolutionizing Real Estate Data with AI

Travo is building a precise and extensive real estate dataset for niche asset classes like RV parks, providing critical information for real estate professionals and AI-powered applications.

reforgers.com positive Impact: 7/10
De viktigste AI-trendene fra Y Combinators vinterkull 2026

The article mentions Travo as an AI-based real estate data company selected for the Y Combinator Winter 2026 batch.

shifter.no neutral Impact: 6/10
Best AI Trip Planner in 2026: Honest Comparison

This article reviews AI trip planners and mentions a different company named Travo, which is an AI-first trip planning app.

travo.me neutral Impact: 5/10
Travo — The data infrastructure for real estate

Travo is building a real estate data platform that uses AI to aggregate ownership, pricing, zoning, and operating data through web crawls, emails, and phone calls.

ycombinator.com positive Impact: 7/10
Travo — AI SaaS Revenue, Funding & Data

Travo, a B2B SaaS company in the real estate vertical, has raised $500K seed funding from Y Combinator W26 and is targeting niche real estate sectors with its AI-powered data intelligence platform.

intelpilot.ai positive Impact: 8/10
Overall Score
8.2
out of 10
Team
Market
Traction
Product
Team (35%) 10
Market (25%) 8
Product (25%) 7
Traction (15%) 7

Quick Info

Batch
Winter 2026
Team Size
4
Location
Unspecified
Founders
4
Scraped
4/10/2026
View on YC →