Riveter

AI-powered web research platform that automates property research, comp analysis, and market intelligence gathering without requiring engineers or code

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About Riveter
Riveter is a Y Combinator-backed AI data collection platform designed specifically for real estate professionals. Unlike traditional web scraping tools that require engineers and complex infrastructure, Riveter uses AI agents to intelligently search the internet and collect property research data at scale. The platform enables real estate teams to instantly identify comparable properties for accurate pricing, uncover local market trends and pricing patterns, gather neighborhood insights including nearby schools and amenities, and automate property description writing. With a 95% hit rate and average 10-minute time savings per data row, Riveter delivers significant efficiency gains: teams report 300+ hours saved per project and $30 average cost savings per row of data. The platform requires zero coding or engineering resources—workflows are built through an intuitive no-code interface in minutes. Riveter maintains audit logs to ensure data accuracy and integrates seamlessly into existing workflows. The solution is ideal for brokerages, appraisers, property managers, and investors who spend thousands of hours annually on manual property research and comparable analysis.
Key Features

AI web scraping and data collection

automated property research

comparable property (comp) analysis

neighborhood analysis and market trends

pricing analysis automation

local market data aggregation

school and amenity research

automated listing writing

audit logs for accuracy

no-code workflow automation

10 minutes saved per data row average

95% hit rate

$30 average savings per row

300+ hours saved per project

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