Factory
AI model optimization
Manual prompt tuning couldn't keep pace. Automated feedback loops now refine models using real-time user comments.
- 2x faster iteration speed vs manual methods
Agent interactions were a black box. Engineers now link live sessions to full execution traces, spotting root causes instantly.
An AI-powered software development platform allows users to generate full-stack applications via chat, achieving development speeds 20x faster than traditional coding.
Rapid user adoption created a bottleneck in diagnosing issues within complex AI agent interactions. The engineering team lacked visibility into how...
AI-powered platform for building full-stack applications through natural language.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Manual prompt tuning couldn't keep pace. Automated feedback loops now refine models using real-time user comments.
Standard logs failed to trace 100-step workflows. Engineers now isolate bugs in seconds and validate new models in under a day.
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.