Riveter AI

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Riveter AI runs many web-search agents in parallel to extract structured data (including from PDFs and images), automating research and routing results via an API.

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Riveter AI is a web search agent platform designed to automate complex information retrieval tasks. It enables users to run thousands of AI search agents in parallel, streamlining the process of gathering and structuring data from the web. The platform supports advanced web browsing capabilities, including the ability to read and extract information from PDFs and images, making it suitable for a wide range of research and data collection needs.

The platform offers both project-based and on-the-fly configuration options, allowing users to define the data they need and customize prompts and output formats. This flexibility makes it possible to adapt search parameters dynamically based on specific requirements. Riveter AI also provides an API that routes structured web data directly into applications, reducing the engineering effort typically associated with web scraping and data integration.

Riveter AI is intended for teams and individuals who need reliable, grounded web data for their products or AI agents. It simplifies the workflow from idea to implementation, offering a straightforward approach to web data retrieval and structuring. The platform is designed to support a variety of use cases, from research and analysis to powering AI-driven applications with up-to-date, real-world information.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.

Riveter is bringing the power of Perplexity to the scale of the spreadsheet. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. 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. 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. With Riveter, anyone can automate complex, auditable web research… without coding. Our founding team brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk.

Website: riveterhq.com

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Riveter AI

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