AMA w/ Vapi Founder — the future of voice & agents, series A, and more
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Hi everyone,
One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.
Voice AI has reached its tipping point. We're seeing hundreds of startups, agencies, and developers building innovative voice solutions for enterprises and SMBs on Vapi's platform.
AMA about building better voice products, promising use cases, voice models, and what's coming in 2025. I'll be around 1PM PT to answer your questions!
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Replies
DiffSense
I was playing around with 11labs voice models yesterday. And as with OpenAI's voice models. I find my self having to record multiple takes of different text segments. Since every take is slightly different. Some takes have clear "voice flukes". So in order to have a clean output. I then have to cherry pick which iterations works best. Then stitch them together in one session. I mainly use this for product presentation videos. So having a clean session without the "AI artifact tell tales" is the key. So people don't notice it's AI. I have to do the same with OpenAI's voice models, they also have "artifacts" in the output. I actually prefer OpenAIs voice models over 11labs at least for product videos. My question is. Is there going to be a "cherry picker algorithm" out soon? its kinda laborious to make nice clean outputs. How are you folks at vapi thinking about this?
Nonilion
I stumbled upon this again. We used Vapi when we were experimenting with our product Cravli and a telephonic agent for a non profit.
Love the product no doubts there. But what I am actually curious if you don't mind me asking, how the hell we do a raise like that ! 20m series A; uff getting really steamy in here...
Any insight on which door i should knock and hope to get slapped with a cheque of 20M?
Congrats on the incredible growth and the Series A!
Curious, what were the strategies that helped Vapi gain early traction and reach this scale so quickly? Also, what metrics did investors care about most during your Series A?
Thanks for doing this AMA!