AirCaps
ActiveThe AI copilot for in-person conversations.
This company has previously operated under “Vued”. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.
About
AirCaps is bringing AI assistance to in-person conversations. Our AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision. You can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation. We’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face. We’ve already processed 16,500 hours of real-world conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations. We did $93K in revenue in October and grew 6.5x from September while spending <$3K on marketing (and hit $70K in revenue in the first 2 weeks of November). Our power users average 6h+ daily usage and our day-30 retention is 91%. We previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes. Madhav (CEO, Yale CS) has been building in audio and AR since age 13, starting with Google Glass apps and voice assistants for Raspberry Pis. He researched audio AI at the MIT Media Lab. Nirbhay (CTO, Cornell CS) built voice AI on smart glasses in high school and built conversational AI products as the first engineer at 2 YC startups.
Founders · 2
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).
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