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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.
Travo provides real estate data powered by AI, delivering comps, zoning, and market intelligence in seconds. It focuses on delivering accurate real estate data instantly.
Travo offers real estate data by leveraging AI to provide comps, zoning information, and market intelligence. Users likely input a property or location and receive rapid, data-backed insights suitable for real estate decisions.
Who it’s for: Real estate professionals and organizations needing fast access to property comparables, zoning details, and market intelligence
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.
Co-founder at Travo. Previously Stanford CS & Math, Wachtell / Manhattan DA, and China manufacturing ops. I love thinking through and solving hard problems.
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!
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.
Providing ownership and operating data for commercial real estate
Travo builds a real estate data platform that uses AI to aggregate ownership, pricing, zoning, and operating data via web crawls, emails, and phone calls, improving coverage across asset types for real estate private equity. It aims to reduce manual data gathering and shorten underwriting cycles, targeting PE firms and firms seeking deeper market data.
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