
Coasty is an AI agent that directly controls real computers, offering both a Computer Use API and a fully autonomous Computer Use Agent. It is designed for developers, product teams, and enterprises seeking to automate complex desktop and browser workflows without scripting or brittle RPA tools. The core value lies in its ability to see and interact with any software just like a human, making it a powerful alternative to traditional automation. By providing a single endpoint that accepts screenshots and returns structured actions, Coasty enables end-to-end task execution with minimal setup. This AI agent for desktop automation is backed by Y Combinator and has achieved top benchmarks in computer-use tasks, demonstrating its effectiveness across real-world applications.
Traditional RPA tools such as UiPath, Automation Anywhere, and Power Automate rely on recorded scripts that break when UIs change, requiring constant maintenance and API integrations. Similarly, manual standard operating procedures are slow, error-prone, and difficult to scale. Coasty solves these problems by watching the screen, reading its state, and deciding the next action dynamically. It adapts to layout changes, popups, and CAPTCHAs without any rewrites. This eliminates the need for brittle connectors or time-consuming script updates, allowing companies to retire legacy RPA and manual SOPs. The result is a automation system that remains resilient even as the underlying software evolves.
The Computer Use API is Coasty's first major feature: developers send a base64-encoded screenshot along with a plain-English instruction, and receive the next action to execute as structured JSON. The API supports high frequency of calls and is billed per request, making it cost-efficient for both small automations and large-scale rollouts. It can run on the customer's own infrastructure or on Coasty's secure servers, giving full control over data and compliance. This approach allows teams to integrate Coasty into existing software pipelines, using the AI to decide each step while retaining security and governance. The API's simplicity accelerates development cycles, turning months of integration work into days.
The Computer Use Agent takes autonomy further by running inside an always-on virtual machine. It browses, clicks, types, and navigates exactly like a human operator—no scripts, no manual triggers. Users provide instructions in natural language, and the agent executes the entire workflow until completion. It recovers from errors automatically, re-reading the screen after each action to confirm the result. The agent operates in a sandboxed VM per session, ensuring that no data or credentials leak between tasks. This feature is ideal for long-running processes such as data reconciliation, invoice processing, and multi-step research, where a single session can span hundreds of actions.
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Coasty also generates synthetic multimodal data for training AI agents. These trajectories run for hundreds of steps across real applications, with aligned screenshots, UI trees, and actions. Customers can specify exactly the type of data they need—such as reconciling 47 invoices across an ERP and email—and Coasty delivers verified, high-quality datasets in under 30 days. This service is used by leading AI labs and enterprises to build and benchmark their own computer-use models. The data includes every modality: screenshots, UI trees, action sequences, and verification outcomes, providing a comprehensive source for supervised fine-tuning and reinforcement learning.
Coasty's workflow is simple: an instruction is given in plain English, the agent observes the current screen within its isolated VM, then decides the best next action (click, type, scroll, etc.). After executing, it takes a new screenshot and repeats the cycle until the task is complete. This observation-action loop is powered by a model trained on hundreds of thousands of real computer-use trajectories. The system handles unexpected events like CAPTCHAs, popup windows, and layout changes because it re-evaluates the screen after every step. It does not rely on fixed selectors or recorded coordinates, making it robust against UI variability. Customers can deploy Coasty either as a cloud-based API or download the agent to run on their own infrastructure.
Concrete use cases include automating marketing campaigns: Coasty researches competitors, analyzes trends, and builds a strategy deck autonomously. It finds and researches prospective customers, gathering key details for personalized outreach. In QA, it tests its own product by navigating flows, catching bugs, and reporting issues without human intervention. It composes and sends emails on behalf of users, and can even apply to jobs by finding matching roles, tailoring resumes, and submitting applications. Another example is posting content on Hacker News—writing and publishing a blog post entirely alone. In each case, tasks that would take hours or days manually are completed in minutes, reclaiming thousands of dollars monthly and eliminating the need for additional hires.
Coasty is built for developers, enterprise operations teams, product managers, automation engineers, QA teams, and marketing professionals. It runs on macOS and Windows desktop environments and can be integrated via its REST API or used as a standalone application. Pricing is subscription-based: Starter at $19/month (200 credits, 1 always-on VM, 3 parallel agents), Plus at $50/month (600 credits, 2 VMs, 6 agents), and Unlimited at $99/month (unlimited credits, 2 VMs, 5 concurrent agents). A 15-minute demo is available for enterprise customers. Coasty stands as the leading computer-use AI agent, replacing legacy RPA and manual SOPs with an adaptive, vision-based automation that cuts costs and accelerates output dramatically.
Coasty is designed for developers and engineering teams building automation pipelines, enterprise operations managers seeking to retire legacy RPA (UiPath, Automation Anywhere, Blue Prism), product managers wanting AI-driven QA and workflow testing, automation engineers looking for a no-script alternative, QA teams requiring continuous testing across desktop and web applications, and marketing and sales professionals needing to automate repetitive tasks like prospecting, outreach, and content publishing. It also serves AI researchers and data scientists who need high-quality synthetic trajectories for training computer-use models. Pricing plans cater to individuals, growing teams, and large organizations, with a free trial available for evaluation.