Autotab

Autotab is a general AI agent that both learns and works like a human, operating a mouse and keyboard inside a secure browser so that anything a person can do on a computer, it can do too. Built by Planetary Computers and backed by Y Combinator and OpenAI, it positions itself as the first AI agent you onboard rather than integrate. It is already deployed inside Fortune 500 companies and has run years worth of continuous computer use for customers like DoorDash, scaling work that previously required teams of people.

The onboarding experience is the point of difference. Rather than wiring up technical integrations, a user teaches Autotab the way they would a new colleague, by showing it a demonstration in a video, sharing a written standard operating procedure, and giving feedback on its work. Autotab asks clarifying questions while it learns, since real work is rarely correct on the first try, and users can add examples to make it more reliable. Once a workflow is learned, it runs on demand or on a schedule and reaches better than ninety eight percent accuracy across tasks thousands of steps long.

Because Autotab acts through the interface with a mouse and keyboard, it works on any website or internal application without an application programming interface. It navigates complex systems to collect and enrich data, and it enters information into government forms, admin apps, and systems of record like Salesforce, HubSpot, Google Sheets, Jira, and enterprise resource, transportation, and revenue management platforms. It can send messages, trigger payments and refunds, and keep working for days using scaffolding and checkpoints to stay on track, much like a documented procedure.

On security and deployment, Autotab can run in a dedicated local browser with enterprise authentication and single sign on so credentials never leave the device, or scale in the cloud as a fleet of parallel instances that compress weeks of work into hours. Its main gaps against broader platforms are that model choice is tied to its provider and there is no marketplace of prebuilt agents, since every agent is trained on the customer's own work. For teams bottlenecked by hiring and onboarding, it is a capable general computer use worker.