Cua provides a cloud‑native platform that offers secure, on‑demand sandboxes for AI agents to interact with graphical user interfaces across macOS, Windows, Linux, and web environments. The service includes integrated vision‑language models, a benchmarking suite, and language‑agnostic SDKs, enabling developers to build, test, and scale UI automation agents via REST APIs and CI/CD pipelines. Usage is billed per sandbox minute and per VLM inference token.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and developers often need AI agents that can operate graphical user interfaces—click buttons, type, navigate menus, and run code—across diverse operating systems and browsers. Existing tools are either tightly coupled to a single OS, require extensive manual scripting, or lack scalable evaluation environments, making it hard to prototype, benchmark, and deploy robust computer-use agents at production scale.
Solution
Cua delivers a cloud‑native Computer Use Agent Platform that abstracts the OS, browser, and application layers into secure, on‑demand sandboxes. Agents interact with virtual screens via integrated vision‑language models (VLMs) and can execute actions such as mouse clicks, keystrokes, and script runs in macOS, Windows, Linux, and web environments. The platform provides a unified dashboard for building, testing, and iterating agents, while a built‑in benchmarking suite (cua‑bench) quantifies performance across latency, success rate, and resource consumption. Pay‑as‑you‑go pricing and open‑source SDKs let developers embed the platform into CI/CD pipelines, enabling rapid scaling from prototype to production without managing infrastructure. All data streams are encrypted and isolated per sandbox, ensuring compliance with enterprise security standards.
Target Audience
The primary customers are AI developers, automation engineers, and enterprise R&D teams building intelligent agents for desktop, web, and hybrid applications, as well as SaaS platforms that need to embed UI automation capabilities at scale.
Features
- Cloud‑hosted, containerized sandboxes supporting macOS, Windows, Linux, browsers, and mobile web sessions
- Integrated VLM inference engine for screen capture, OCR, and context‑aware action generation
- RL‑compatible evaluation framework (cua‑bench) with automated success metrics, latency tracking, and regression testing
- RESTful API and language‑agnostic SDKs (Python, Go, JavaScript) for programmatic agent orchestration and CI/CD integration
- Role‑based access control and end‑to‑end TLS encryption for all sandbox communications and data storage
- Multi‑tenant resource isolation with auto‑scaling compute pools to handle concurrent agent workloads
- Real‑time visual debugging console showing screen state, click heatmaps, and execution logs
- Open‑source reference agents and sample workflows on GitHub for rapid onboarding