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Travo

The data infrastructure for real estate

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.
Active Founders
Clarence Chen
Clarence Chen
Co-founder/CEO
Co-founder/CEO at Travo. Before Travo, I studied EECS at Stanford, built and sold an education company, and spent an unreasonable amount of time researching the intersection of physics and consciousness.
Alexander Calafiura
Alexander Calafiura
Co-founder
Co-founder at Travo. Previously Stanford CS & Math, Wachtell / Manhattan DA, and China manufacturing ops. I love thinking through and solving hard problems.
Michael Dalva
Michael Dalva
Founder
Co-founder/CPO at Travo. Before Travo, I studied CS/AI at Stanford, researched hardware-fault resilience in ML pipelines, and wrote code for satellites!
Ashwin Sriram
Ashwin Sriram
Co-founder
Co-founder at Travo. Before Travo, I studied CS at Stanford, led backend development at a edtech startup with millions of users, worked at Roblox, and spent an unreasonable amount of time learning about Linux operating system security.
Company Launches
Travo — The data infrastructure for real estate
See original launch post

TL;DR:

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.

Background:

We are four Stanford CS dropouts who spent months trying to build agents for alluring but low hanging real estate private equity workflows. We realized that building an agent that performs 100x better than a high IQ analyst is impossible without dramatically better underlying data.

Problem:

Real estate data is still collected through call centers, broken government websites, and manual skip tracing. This structure means zero coverage for niche asset classes and results in inaccurate coverage of institutionalised asset classes. Investors spend days fact-checking data they already pay for, only to still fill in gaps themselves.

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Solution:

By using AI to aggregate data accurately and modularly across asset types at scale, we unlock deeper coverage and access to untapped markets and proprietary data sources.  One boutique PE firm found an off-market RV park now under purchase for 3M+. Another $200B+ fund cut market analysis and underwriting from weeks to days, while increasing revenue across its portfolio.

Our ask:

Know any Real Estate Private Equity firms? We’d appreciate an intro!

Feel free to reach us at team@travoai.com

Thank you!

travoai.com

Travo
Founded:2025
Batch:Winter 2026
Team Size:4
Status:
Active
Primary Partner:Aaron Epstein