Clousd VS Droidrun

Clousd's answer

Each Clousd device from Android 12 to 17. Phones open in the browser in seconds and can be controlled by people, scripts or AI agents through the same API.

Droidrun's answer:

The best mobile AI Agent infrastructure in 2026.

Clousd's answer

Clousd was built in 2026 by Wisella AI LLC to give developers and AI agents real Android phones without maintaining a physical device lab.

Droidrun's answer:

Droidrun was founded by a tight-knit team of four co-founders with a history of successful collaboration. “We’re four co-founders who’ve already built two companies together, which gives us a proven working dynamic,” said Christian.

Christian, launching his third company, focuses on strategy and identifying early market opportunities. Niels Schmidt, Chief Technical Officer, architected the core mobile automation technology. He has deep experience in AI and blockchain, “but more importantly, he builds things that work in production,” Christian noted.

Nikolai Dück, Chief Product Officer, built an AI chatbot platform seven years ago, long before AI entered the mainstream, that Fortune 50 companies still use today. Peter Lächner, who previously worked at Bosch managing international teams, brings crucial expertise in how large enterprises purchase and deploy technology. Before Droidrun, the team built a dominant local loyalty platform in a German city and bonny.network, a blockchain-based consumer data reward platform.

The momentum for Droidrun came from a shared frustration. “We needed AI agents to extract product insights from viral TikTok videos for our previous startup. Sounds simple, but every mobile automation solution failed catastrophically. UiPath, Selenium, academic tools: they’d work in demos but break the moment TikTok updated their interface,” Christian recalled. This pain revealed a fundamental missing piece in the AI automation industry: reliable access to mobile app interfaces. Traditional AI mobile automation tries to “see” the screen like humans, capturing screenshots, analysing pixels, and estimating button locations. This approach is slow, fragile, and breaks when apps update.

“We flipped it completely. Instead of teaching AI to interpret mobile screens visually, we convert mobile interfaces into structured text that large language models already understand. Rather than hunting pixels, we give AI the actual button data and interface structure,” Christian explained.

This approach delivers three times faster execution, dramatically lower computational costs, and much higher reliability when apps update their UIs. Droidrun’s solution earned the #1 rating on the AndroidWorld benchmark and, crucially, works in production environments where vision-based solutions fail.

Droidrun combines visual understanding with UI structure extraction, enabling reliable control of mobile apps on Android and iOS. Its open-source framework has attracted rapid community adoption, with over 900 developers in 24 hours and more than 3,300 GitHub stars in under three months, making it the fastest-growing mobile AI agent project. Looking ahead, Droidrun is accelerating the development of its cloud platform, enabling enterprises to deploy mobile AI agents at scale while maintaining the open-source framework that fuels developer innovation.

Christian outlined the vision for the coming years: “Within a few years, automated workflows will outnumber human interactions on mobile devices. Instead of switching between a dozen apps to book a business trip, checking flights on one, hotels on another, and expenses in a third, you’ll simply tell your AI agent, ‘Book my trip to Berlin next week for the client meeting.’ The agent will handle it all automatically.”

This future promises a profound transformation. “Instead of static app icons and manual navigation, we’ll have agentic user interfaces that adapt and respond intelligently, or entirely new operating systems designed around AI agents rather than human touch.”

He stressed the essential role of infrastructure: “For this transformation to happen, agents need seamless access to mobile systems to bridge human intent with digital action. Droidrun is building the infrastructure that makes this revolution possible.”

Early adopters are using Droidrun to unlock data from mobile-only platforms, automate critical business workflows, extend robotic process automation (RPA) to mobile devices, support QA automation, and build AI agents that require mobile execution.

Clousd's answer

Real phone models instead of a generic emulator, a built-in AI agent that completes tasks on the phone, an open API with an MCP server and Python SDK, and simple pricing: pay as you go from $0.004 per minute or monthly plans from $29.

Droidrun's answer:

Droidrun allows you to automate any app on your mobile device using natural language command. You can connect your personal device and automate it without writing a single line of code.

Clousd's answer

Mobile developers and QA teams testing Android apps across models, Android versions and countries, and developers building AI agents that need a real phone to work on.

Droidrun's answer:

Developers who want to build large scale automations on phone, social media marketers who want to automate tasks at scale, QA engineers who want to test app UI/UX and registration flows.

Clousd's answer

Andorid, WebRTC for live screen streaming, Go, Python, PHP, REST API and Model Context Protocol (MCP).