Otto

About Otto

Otto simplifies the research process by leveraging AI agents to gather insights and enrich data lists quickly. Ideal for businesses seeking efficient research solutions, Otto helps users save time and effort by processing large volumes of documents. Experience seamless automation with Otto today.

Otto offers a range of pricing plans including Free, Basic, Pro, and Enterprise tiers, each catering to different user needs. By upgrading, users unlock powerful features and tailored solutions for their research automation, making it an ideal choice for growing businesses and enterprises.

Otto features a user-friendly interface with an intuitive layout that enhances navigation and usability. Its seamless browsing experience allows users to quickly set up and manage research projects. Otto’s design incorporates helpful prompts, making it accessible for users of all skill levels.

How Otto works

Users start by building their research table on Otto, selecting a template or creating from scratch. They define columns as questions to guide the AI agent effectively. Otto then processes data, answering queries with enriched insights from various sources, significantly improving research efficiency.

Key Features for Otto

AI Research Agent

The AI research agent in Otto automates manual workflows, swiftly gathering company insights and pricing data. By utilizing natural language, users can easily query information, making Otto an indispensable tool for professionals looking to streamline their research processes.

Web Scraping Tool

Otto's web scraping tool allows users to effortlessly extract data from websites using plain English. This unique feature eliminates the need for complicated scripts, enabling quick access to valuable information, thus enhancing research productivity and accuracy.

Document Processing

Otto's document processing feature can analyze hundreds of documents in minutes. Users set their columns as questions, and Otto efficiently retrieves answers, making it easier to draw insights from large data sets and improving overall research workflows.