The AI copilot for in-person conversations.
People struggle to follow, capture, translate, and extract actionable insights from face-to-face conversations in real time.
An AI copilot app for lightweight AR glasses that provides live captions, translation, and real-time meeting notes and insights during in-person conversations.
Individuals and teams who conduct in-person meetings and want real-time assistance and post-conversation notes.
I've been obsessed with audio and AR for 11 years (46% of my life). I built my first voice assistant on a Raspberry Pi at age 12. I built my first apps for the Google Glass when I was 13 years old. I studied C.S. at Yale, where my senior thesis focused on extracting clean speech transcripts from noisy multi-speaker audio. In the past, I've researched audio AI at the MIT Media Lab where I was part of the team that built the world's first collaborative human-AI live musical concert.
I studied C.S. at Cornell and graduated Summa Cum Laude. I built my first voice apps for AR glasses in high school (an emotional support tool for people with autism). In college, I spent summers as the first engineer at YC startups, building conversational and voice AI platforms for therapy. I've done HCI research at Cornell and have been supported by several fellowships (8VC Fellowship, Kessler Fellowship).



