Action over answers
The product should complete work through real interfaces, not merely describe what the user should do.
About NeuralAgent
AI trained to operate the world’s software.
NeuralAgent is the computer-use AI product from Neural. We train computer-use models such as NeuralAction and build the operating layer that turns them into completed work—across employee devices, cloud environments, desktop applications, browser systems, and the software enterprises already depend on.
Our direction
From AI that explains work to AI that operates it.
Most digital work still happens through interfaces built for people: desktop applications, browser tabs, files, forms, and internal systems. We train NeuralAction to turn visible interface state into grounded actions, then build NeuralAgent to plan the task, route execution, control the computer, and recover when something changes.
For organizations, that capability becomes a managed execution fleet: employee computers and dedicated cloud environments operating together through one Enterprise Dashboard.
Product principles
What we are building toward.
Speed that is felt
Routine UI actions should happen rapidly enough that computer use stops feeling like a queue.
Reasoning where needed
Planning, routing, supervision, and recovery should focus intelligence on the steps that require it.
Success becomes reusable
Completed work should become a Replay that can run again with new details and active supervision.
The product journeyFOUNDATION CAPABILITY ENTERPRISE
One direction, built release by release.
Models and computer-level action
Our computer-use models understand the screen and ground mouse and keyboard actions across applications.
Skills and reusable workflows
Users can ask naturally, extend capabilities, demonstrate work, and save repeatable processes.
Managed computer operations
Organizations can assign, schedule, supervise, and scale work across employee and cloud computers.
Build with us
Give the computer the work.
Try NeuralAgent, tell us where it succeeds and fails, and help shape a faster way to operate software.