AI Agent Cloud Browser Infrastructure
Elastic cloud browsers for high-frequency agent work
Lexmount turns browsers into on-demand cloud resources. Agents can create, connect to, observe, and replay browser work through one control plane, so web tasks can scale beyond local hardware limits.
Agent Browser Cloud
Cloud browsers, ready whenever agents need them
Create on demand. Run in parallel. Observe in one place.
Agent request
Natural language or automation code asks for web access.
Lexmount control plane
Creates instances, manages credentials, exposes connection entries.
Cloud browser pool
Runs multiple browser instances with observation and recording.
Control Plane
Create, access, observe, and trace in one place
Lexmount centralizes the browser lifecycle, identity credentials, connection information, remote View, and execution recordings into one clean operating surface.
Lifecycle management
Create, run, close, and recycle browser instances.
Credential and connection entry
Keep API access and browser connection details together.
Remote View
Open a cloud browser screen and take over when needed.
Recording replay
Preserve task execution for review and troubleshooting.
Agent Workflow
Many browsers, one observable execution loop
When an agent needs to inspect many web sources, Lexmount can provide multiple browser instances in parallel and keep every running screen visible for monitoring.
Task intake
The user describes a goal in natural language.
Browser execution
The agent opens cloud browsers and performs web work.
Live observation
Operators can monitor running browser screens.
Result and replay
Outputs and recordings close the review loop.
Give agents more browser capacity without local hardware limits
Use Lexmount to scale browser execution from a local bottleneck into an elastic cloud capability that is easier to create, observe, and manage.