AI Infrastructure & MLOps Enterprise Only

Cua

Open-core computer fleets, sandboxes, drivers, and evals for agents

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PricingEnterprise Only
Starting priceContact sales
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Cua is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Cua?

Cua provides open-source and hosted infrastructure for computer-use agents across Linux, Windows, macOS, and Android. It includes background drivers, disposable sandboxes, elastic fleets, evaluation tooling, trajectory capture, verified data, MCP, CLI, BYOC, and on-premises options.

Best fit

Best for

Agent developers scaling computer-use training, evaluation, and data workloads

Audience

Who is it for?

AI agent developersResearch and evaluation teamsInfrastructure engineersData-generation teams
Recommendation

Decision note

Confirm hosted concurrency, machine types, OS images, network isolation, data retention, verified-data scope, BYOC and on-prem requirements, support, and current commercial terms.

Capabilities

Key features

Background computer-use driver with MCP and CLI

Cross-platform Linux, Windows, macOS, and Android fleets

Disposable sandboxes and snapshot-based reproduction

Elastic warm pools for training and evaluations

Trajectory capture and verified data generation

Open-core, BYOC, and on-prem deployment options

Workflows

Use cases

Running computer-use agent evaluations

Generating agent training trajectories

Reproducing GUI failures from snapshots

Scaling parallel desktop automation workloads

Strengths

Pros

  • Open-source MIT-licensed core components
  • Supports four operating-system families
  • Flexible local, hosted, BYOC, and on-prem paths
Considerations

Cons

  • Hosted fleet pricing requires access
  • Computer-use workloads carry security risk
  • Cross-platform behavior still needs validation
Considerations

Limitations

Cua enables agents to control real computer environments, which can expose data or trigger harmful actions. Teams must isolate workloads, enforce permissions, protect credentials, validate tasks, review trajectories, and monitor resource use.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planYes
Free trialYes
Pricing context

Billing options

Open-source softwareHosted infrastructure by requestBYOC agreementOn-premises agreement
Pricing context

Pricing note

Cua Driver and local sandbox components are open source. Dedicated hosted fleets, BYOC, on-premises infrastructure, and verified data are available by request; no fixed public hosted starting price was shown.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

MCP clients

CLI

Docker

QEMU

Apple Virtualization

Python

REST workflows

Specs

Technical details

PlatformsDesktop, Android, Web
Multilingual supportNo
Login requiredYes
Open sourceYes
LicenseMIT
DeploymentHybrid
CompanyCua AI, Inc.
Models / versionsCua Driver Cua Sandbox Cua Fleets Cua Bench Lume
Editions / plansCua Driver Cua Sandbox Cua Fleets Cua Bench Verified Data
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Cua provides open-source and hosted infrastructure for computer-use agents across Linux, Windows, macOS, and Android. It includes background drivers, disposable sandboxes, elastic fleets, evaluation tooling, trajectory capture, verified data, MCP, CLI, BYOC, and on-premises options.
Agent developers scaling computer-use training, evaluation, and data workloads
The listed pricing model for Cua is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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