Internal tools sat in backlogs for months. Now, non-technical teams build functional apps in 1-2 hours using natural language prompts.
A software platform enabling business teams to build custom applications via natural language, addressing the persistent gap between operational demands and engineering resources.
Simple requests for internal tools like lead management systems often languished in development backlogs for months. This bottleneck distracted...
“Every time we mentioned 'internal tools,' we saw pain points that make their organization inefficient. Business teams want their tool by end of day, then R&D tells them it takes three months.”
AI-native workspace for team productivity and collaboration.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
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Internal app builds took three months. Now, non-technical staff generate custom tools in 1-2 hours using natural language prompts.
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.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.