Otto (ottogrid.ai) is an AI agent platform built around a native spreadsheet-style table interface, where each column acts as a configurable AI agent. Users define prompts per column and Otto autonomously fills in data by running web research, scraping URLs, calling external APIs, and analyzing documents in parallel. The platform is designed for research-heavy workflows: enriching lists of companies or people with firmographic and contact data, scraping competitor pricing or lead details, and processing large document batches. It integrates with data providers including Hunter.io, Apollo.io, Crunchbase, and ProxyCurl to source accurate business information. Otto targets sales, marketing, and business research teams who need to process hundreds or thousands of records without writing code. Its parallel async processing model lets users run many tasks simultaneously, which the company positions as enabling roughly 10x faster research compared to manual workflows. The platform also supports workflow automation beyond one-off runs, including scheduled and trigger-based automations, and integrates with tools like Notion, Gmail, and Slack. Tables can be seeded from templates, existing lists, or by describing the needed data in plain language. Key features: - Table-driven interface where each column is a configurable AI agent with custom prompts - Parallel async task execution for processing hundreds of records simultaneously - Data enrichment integrations with Hunter.io, Apollo.io, Crunchbase, and ProxyCurl - Web scraping and URL crawling via plain-English commands - Document processing for batch analysis of large numbers of files - Scheduled and trigger-based workflow automation - Integrations with Notion, Gmail, and Slack - Free plan with 500 credits; no coding required
Free plan (500 credits/mo); Starter $99/mo; Pro $299/mo; Enterprise custom pricing