Mobile Next HQ, Inc
Building the infrastructure for the next generation of mobile development, enabling AI agents and developers to automate iOS and Android apps seamlessly.
At a Glance
- Mobile App Developers
- QA Engineers
- AI/LLM Infrastructure Teams
- Enterprise Software Teams
AI Tools by Mobile Next HQ, Inc
(1)Mobilewright
Mobile Automation Framework for iOS Android
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Latest News
Leor Stern joins Mobile Next as Cofounder and CEO
Mobile Next Launches Mobilewright: Open-Source Mobile Automation for iOS and Android
Mobile MCP Server Reaches 1,000 GitHub Stars
Partnership with CTO Fund and Darkmode Ventures Announced
Products & Services
A reliable, Playwright-based automation framework for testing iOS and Android applications on real devices and emulators.
A Model Context Protocol (MCP) server that enables AI agents (like Claude, Cursor, and Copilot) to automate and interact with mobile devices.
A real-device farm providing cloud-based iOS and Android hardware for testing and AI agent automation.
A universal command-line tool for managing mobile devices, simulators, and emulators.
Market Position
Positioned as the 'Playwright for Mobile', offering a more modern, faster, and AI-friendly alternative to legacy tools like Appium.
Leadership
Founders
Leor Stern
Cofounder and CEO. Previously Director of Product Management at Google (AI, Android Wear) and Fitbit. Founder and CEO of Cronologics (acquired by Google).
Gil Megidish
Cofounder and CTO. Previously Founder and CTO of TestFairy (acquired by Sauce Labs). Expert in mobile automation and core contributor to mobile testing infrastructure.
Kristof Muhi
Cofounder and Product Lead. Previously involved in AI and LLM observability (Terminally AI) and various mobile development projects.
Executive Team
Leor Stern
Chief Executive Officer
Ex-Google Director, Serial Entrepreneur (Cronologics CEO).
Gil Megidish
Chief Technology Officer
Ex-TestFairy CTO, Mobile automation expert.
Board of Directors
Founding Story
Founded by mobile infrastructure veterans from Google and TestFairy to solve the fragmentation and flakiness of mobile testing and to bridge the gap between AI agents and native mobile apps.
Business Model
Revenue Model
Freemium SaaS and usage-based pricing for device cloud; Enterprise support and licensing.
Pricing Tiers
10 minutes per day on real devices.
Pay-as-you-go access to real devices and simulators.
Dedicated infrastructure, custom SLAs, and priority support.
Target Markets
- Mobile App Developers
- QA Engineers
- AI/LLM Infrastructure Teams
- Enterprise Software Teams
- End-to-end mobile app testing
- AI agent interaction with mobile devices
- Mobile app scraping and data extraction
- Automated QA for high-scale mobile teams
- Backbase
- Mobile app development agencies