Minitap provides an AI agent platform designed to accelerate mobile development workflows across the entire lifecycle. This framework-agnostic solution automates tasks like feature building, regression testing on real devices, and cross-platform migration. The platform aims to significantly increase mobile team output by handling repetitive coding and quality assurance tasks.
Funding
Funding not disclosed


Founders
Product
Problem
AI agents currently face limitations in interacting with mobile applications, hindering their ability to perform complex tasks. This gap prevents scalable automation for critical mobile workflows such as application testing, e-commerce operations, and social media management.
Solution
Minitap provides a robust platform that enables AI agents to interact with mobile applications through device virtualization and visual AI. This infrastructure facilitates fast, scalable, and stateful mobile automation, allowing AI agents to perform actions like tapping, swiping, and navigating within mobile interfaces. The platform supports cross-platform workflows for both iOS and Android, and includes a no-code builder for simplified integration. Minitap Cloud offers a managed environment for running these workflows on real devices, ensuring isolated and protected runtime execution.
Target Audience
The primary customers are developers and organizations seeking to automate mobile application testing, e-commerce operations, social media management, and AI agent training within realistic mobile environments.
Features
- Device virtualization enabling AI agents to control mobile applications.
- Visual AI for understanding and interacting with mobile app UIs.
- Cross-platform support for both iOS and Android operating systems.
- No-code workflow builder for intuitive automation script creation.
- Cloud-based infrastructure for scalable, parallel execution of mobile automation tasks.
- Secure and isolated runtime environments for workflow execution.
- Support for complex mobile interactions including tap, swipe, type, and navigation.