Desktop agent + cloud workspace

Your computer,
driven by intent.

Control watches the same screen you do, understands the interface, and moves the mouse and keyboard to finish work across the apps you already use. Run it on your machine, or automate a cloud desktop from the browser.

Live desktopVision-guided actions

Powerful software should not require a certification in its own interface.

Most knowledge work still means hunting through menus, dialogs, and file trees. Traditional automation is either brittle—built for one app—or heavy enough that only specialists deploy it. Control is built for the gap: open-ended tasks on real desktop software, described in plain language.

Intent in, actions out

You describe the outcome; the system plans clicks, keys, and shell steps.

Any visible UI

Professional tools, internal line-of-business apps, and browsers—if it paints pixels, it can be steered.

Local execution option

Sensitive work can stay on hardware you control, with approvals for risky operations.

How it works

From sentence to sequence

Each turn combines visual context with reasoning, then executes through the same input devices you use.

01

Capture context

The current screen (and optional voice or text instruction) grounds the model in what is on display.

02

Plan the next move

A multimodal model proposes concrete steps: where to click, what to type, or which command to run.

03

Execute and verify

Mouse, keyboard, terminal, and browser automation run locally or on your cloud machine; the loop repeats until the task is done.

Desktop application

Runs on Windows, macOS, and Linux. Optional wake-word activation, push-to-talk, and a chat surface for Ask (explanations) versus Act (hands-on automation). Your screen drives decisions; actions happen on your hardware with guardrails for terminal and destructive work.

  • Workflows with time or keyword triggers
  • Browser automation alongside native windows
  • Pairing for remote viewing from the web

Control Web

Sign in, attach a running cloud machine or a paired desktop, and chat with an agent that sees the remote display. Built-in streaming shows the desktop while automation runs—useful for demos, support, and offload-heavy jobs away from your laptop.

  • Session-based AI with action trace
  • VM lifecycle from the dashboard
  • Low-latency relay option for desktop preview

Capabilities

Built for real interfaces

Screen-grounded reasoning

Understands layout and controls without a per-app integration list. Suited to creative suites, CAD, IDEs, and legacy enterprise UIs alike.

Voice and text

Hands-busy scenarios: speak a command or type while the agent keeps context across steps.

Shell when it is faster

Uses the terminal for checks and batch work when that is more reliable than clicking through wizards.

Workflows

Save and trigger repeatable sequences on a schedule or when a keyword is spoken.

Cloud machines

Isolate experiments or long jobs on provisioned desktops you control from the browser.

Safety-minded design

Sensitive steps can require explicit approval. You choose when the agent acts versus when it only advises. API traffic uses standard encrypted transport; pair desktop streaming only with accounts you trust.

Where teams feel it first

Creative production

Export presets, batch renames, and multi-step toolchains in DCC and editing software without memorizing every panel.

Engineering and BIM

Navigate dense CAD and model-review UIs for repetitive documentation, checks, and exports.

Operations and knowledge work

Cross applications for reporting, internal portals, and file hygiene—areas where copy-paste and manual clicking still dominate.

Landscape

How Control differs

The market mixes OS assistants, cloud research agents, classic RPA, and DIY stacks. Positioning below is directional—evaluate against your own security and procurement requirements.

TopicControlOS-level assistantsCloud / hosted agentsRPA suites
Primary surfaceUser-chosen desktop apps and browsers, local or streamed.Tight coupling to vendor OS and first-party experiences.Often remote browser or VM; workload may leave the device.Designer-built flows; strong in structured enterprise processes.
Setup for one-off tasksNatural language goal; minimal per-app configuration.Varies; may prioritize vendor app ecosystems.Depends on product; may need environment provisioning.Typically analyst or developer configuration.
Latency-sensitive UI workLocal execution path for pointer and keyboard actions.Generally low latency within OS-supported scenarios.Network and hosting hops can add delay.Usually runs on managed robots; not always interactive desktop.
Open-source / self-hosted stacksProductized app plus web dashboard; less DIY assembly.N/ASome users assemble agents manually for full control.Less common in pure OSS for enterprise RPA.

Trademarks belong to their owners. Compare features in your own pilot; assistant capabilities change frequently across vendors.

Stop translating your goal into two hundred clicks.

Try the web workspace with your account, or install the desktop agent for local automation.