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Turn the web into structured data
Riveter fully automates web data extraction, end to end. With a single API, agents can search, scrape, and structure data from the web. Customers like Snapchat and OpenAI use us to enrich datasets using Riveter's AI search agents that combine data from the web with third party or internal data. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. You can even create a custom data API for repeated searches live in your app or internal databases. Perplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell. And Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. Most teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. Or they spend months building web scrapers, and when that still doesn't work, they come to Riveter. Our founding team (Cody Watters - CTO, Abby Grills, CEO) brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk.
Riveter provides an automated web data extraction platform that builds structured outputs from diverse online sources. It positions itself as more than a scraper, offering an end-to-end system to create datasets, automate research, and monitor changes across sites.
Riveter searches, navigates, and extracts data from websites, PDFs, and third-party APIs to build structured outputs. Users can build datasets without input data, automate web research by prompting Riveter agents, and schedule monitoring to keep data fresh. The platform emphasizes an API-first, scalable delivery that supports enrichment of single records or millions, with consistent formatting for easy ingestion into code, tools, and reports. It also provides enterprise-grade reliability and handles bot detection and changing sites to prevent pipeline breaks. Outputs are designed to be easily integrated and used across various use cases like pricing tracking, GTM enrichment, monitoring changes, and financial data structuring.
Who it’s for: Teams and organizations that rely on web data for research, pricing, GTM, operations, and finance across industries, including marketing, sales, real estate, e-commerce, and analytics teams.
Visible traction with 1000+ teams mentioned, YC-backed, customer testimonials, and pricing page with multiple plans indicating active commercial deployment.
CEO at Riveter AI | Previously: Middesk, Gusto I have 10 years of product experience, including joining Gusto as an early PM and growing to lead Mid-Market Payroll. I've lead a number of 0 to 1 products including Gusto Time Tracking, State Payroll Tax Registration, and most recently, Address Risk at Middesk. I began my career at early stage consumer electronics startups, where I learned to wear many hats and fill gaps to make sure the job gets done.
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Riveter acts as a copiloting platform for corporate strategy, automating collection and analysis of private and public company data to help growth-stage B2B SaaS firms make strategic decisions faster. It provides deep public company metrics, investor relations document analysis, and an AI analyst for targeted questions, targeting Corp Dev and Strategic Finance teams.
Formerly “Nervy”, “Haze AI”, “Lassen AI” · why startups rename →
The simplest way to extract web data at scale
Visual editor to design in production code
