Problem
Producing high quality multicamera content still requires a director or operator to monitor several feeds and choose every shot in real time. Existing automation often responds to simple signals such as active speakers, audio levels, movement, or preset rules, but can miss conversational context and meaningful reactions. CUE is building a context-aware AI director that combines live transcription, participant information, and visual signals.
Why Purdue HIVE
Being part of Purdue HIVE has given me a community of founders who understand what it takes to build, test, and keep moving when an idea is still evolving. Mentors such as Jessica Jud and Chris Brinton have been incredibly generous with their time, feedback, and encouragement, and have pushed me to think more carefully about CUE’s customer, evidence, and next steps.