UiPath Costs $28,500 Per Employee vs Coasty's 82% Computer Use Benchmark

The $28,500 Per Employee That Nobody Talks About

A 2025 survey by Parseur found that manual data entry costs U.S. companies an average of $28,500 per employee annually. That is payroll, benefits, and office space money. That is the cost of software licenses. That is the cost of IT support for broken workflows. Companies keep pouring money into UiPath licenses hoping it will fix this problem. They forget that RPA bots still need someone to build the workflows, maintain them, and fix them when they break. The human cost alone is insane. A 100-person team is paying $2.85 million a year just to type data into systems. That is before you add the cost of their salaries, benefits, and overhead. Meanwhile, AI computer use agents can ingest documents, extract data, validate it, and update systems without any human intervention. They do not need a full-time developer to babysit them. They do not need hours of setup. They just work.

UiPath Charges Thousands Per User. AI Agents Cost Pennies.

• ●UiPath Enterprise can cost tens of thousands of dollars per year per user for robot licenses, AI modules, and add-ons.
• ●Many companies see spending skyrocket once they add Semantic Activities, AI Center, and other modules.
• ●Finance teams are pushing back on UiPath license costs, scrutinizing whether the per-user cost justifies the value.
• ●AI computer use agents like Coasty charge a fraction of that, with a free tier available for smaller teams.
• ●You can spin up multiple AI agents on cloud VMs or even your own BYOK infrastructure for a tiny fraction of an RPA platform.

Why UiPath Can't Catch Up to Computer Use

UiPath was built for scripted bots. You drag and drop activities, you map inputs and outputs, you hope the UI does not change. If an application update breaks your workflow, you spend hours debugging. If a user uploads a different PDF format, your robot crashes. AI computer use agents are different. They see the screen like a human does. They understand the context. They can click, type, scroll, and navigate dynamically. They adapt when UI elements change. They do not need you to script every pixel. They learn from what they see and solve problems in ways that scripted bots cannot. The OSWorld benchmark tests agents on open-ended tasks like booking flights, filling forms, and navigating complex applications. Coasty's 82% score shows it can handle real-world workflows without constant human supervision. UiPath bots struggle with anything that is not a perfectly scripted sequence. They are great for repetitive tasks you already understand. They are terrible at anything that requires flexibility.

Why Coasty Exists

There is a reason Coasty scores 82% on OSWorld while OpenAI's Computer Using Agent barely clears 38%. Most computer use agents are prototypes. They are released as experiments. They lack the polish, reliability, and safety needed for production workloads. Coasty is built from day one for real-world use. It runs on real desktops, browsers, and terminals. It does not just make API calls. It clicks, types, scrolls, and manipulates interfaces like a human would. You can deploy it on your own desktops, on cloud VMs, or in agent swarms for parallel execution. You can bring your own keys for BYOK. You can scale from a single agent to hundreds of agents running simultaneously. Coasty is the answer to a simple question: why would you pay thousands per user for a bot that cannot handle real-world complexity when a smarter, cheaper AI computer use agent is available for free?