Base44
No-code app generation
Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.
- App deployment time cut from days to same-day
Complex coding excluded non-technical users. Claude now generates production-quality apps in 40+ native languages.
An AI-powered no-code platform enabling 140,000 users across 111 countries to create sophisticated applications using natural language.
Traditional development required extensive coding skills, effectively excluding non-technical creators and non-English speakers. Existing models...
“We faced three seemingly impossible challenges. How do you enable a grandmother in rural Thailand to build sophisticated AI applications using her native language with the same power as a Stanford CS graduate? How do you create AI agents that don't just respond but actually learn, remember, and grow more valuable over time? And how do you scale this to support millions of cognitive assets while maintaining safety and performance?”
AI platform for generating architectural floor plans and interior design layouts.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.
Automated coding often hit a reliability wall. Now, non-coders build production-ready apps 20x faster via conversation.
Internal app builds took three months. Now, non-technical staff generate custom tools in 1-2 hours using natural language prompts.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.