Galileo AI
FreemiumAI-powered UI design tool that generates editable designs from text prompts. Create high-fidelity UI in seconds for web and mobile apps.
What does this tool do?
Galileo AI (branded as 'Stitch') is an AI-powered UI design tool that converts natural language text prompts into editable, high-fidelity user interface designs. Rather than starting from a blank canvas, users describe what they want to build—a landing page, mobile app screen, or dashboard—and the tool generates production-ready design mockups with proper typography, spacing, and component placement. The generated designs are editable within the platform, allowing designers to refine colors, layouts, and copy without exporting to Figma or other tools. This significantly reduces the time required to move from concept to interactive prototype, bridging the gap between design ideation and development.
AI analysis from Feb 25, 2026
Key Features
- Text-to-UI generation with natural language processing for design briefs
- Editable component library with drag-and-drop refinement capabilities
- Responsive design generation for web and mobile platforms simultaneously
- Built-in typography and spacing system that auto-applies design principles
- Export functionality to design tools or development environments
- Iteration history and versioning for design exploration
Use Cases
- 1Rapid prototyping for startup pitches and investor presentations
- 2Creating multiple design variations to test different user flows quickly
- 3Building responsive mobile and web UI layouts without design experience
- 4Generating component libraries and design system foundations from descriptions
- 5Accelerating design iteration cycles for SaaS product features
- 6Creating mockups for usability testing without investing in full design work
- 7Jumpstarting design projects by generating initial directions from product requirements
Pros & Cons
Advantages
- Dramatically reduces design-to-prototype time from hours to minutes, enabling faster iteration cycles
- Generates layouts and component arrangements that follow design best practices and accessibility standards
- Eliminates the need for design expertise—non-designers can produce professional-quality UI mockups from text descriptions
Limitations
- AI-generated designs may lack brand personality and unique visual differentiation—outputs tend toward generic modern aesthetics
- Limited control over fine-grained design details; users still need manual refinement for custom styling or brand compliance
- Learning curve for writing effective prompts; vague descriptions produce mediocre results, requiring iterative prompt engineering
Pricing Details
Pricing details not publicly available.
Who is this for?
Startup founders and product managers who need rapid prototypes without designer involvement; freelance designers looking to increase throughput; design teams seeking to automate initial mockup generation; non-technical entrepreneurs building MVP interfaces; UX researchers needing quick design variations for testing.