Ottogrid

Ottogrid automates manual research workflows by combining web-browsing agents, table-based prompts, and document processing to enrich lists and analyze large document sets in minutes. Users work inside a spreadsheet-like interface where each column can act as an AI agent to perform queries, scrape websites, or read PDFs and images. The product uses a credits model and supports templates, CSV import/export, and configurable concurrency to scale research tasks for individuals and teams.

• Web browsing agents - Use natural-language prompts to browse, crawl, and extract structured data from websites without writing scraping scripts.
• List enrichment - Autofill and enrich company lists with pricing, contact information, reviews, and other datapoints using batch processing.
• Document processing - Analyze and summarize PDFs and images at scale to extract feedback, issues, or metadata into table rows.
• Table-first workflows - Start from a template or CSV, configure column prompts, add input rows, and let Ottogrid populate results automatically.
• Templates & CSV import/export - Begin with prebuilt templates or upload CSVs; export enriched datasets when complete.
• Concurrency & credits - Control concurrent row processing and consume monthly credits; enterprise features include private API access and SSO/SAML.

To get started: create or import a table, define a prompt for each column (each acts as an agent), add data rows, and run the agents to autofill and enrich your dataset.