This effectively removes the biggest barrier, the unit economics, for organisations using voice AI at scale.
- Regulated Industries: BFSI, healthcare, telecommunications, that need data-sovereignty while working with voice AI, can now do so without making hardware costs impractical.
- Growth-stage cos: Teams that couldn’t justify the capital spend for voice infrastructure
tried absinthe for the first time today. it tastes like when you go to an udupi restaurant, pay the bill, get saunf with the bill, and overload on the saunf.
We're giving away $10,000 in API credits to early-stage startups building voice-native products!
The Smallest AI Startup Grants Program is for teams that are:
- From leading accelerators
- Early-stage and venture-backed
- Led by exceptional bootstrapped founders
Apply in the link in the thread!
Lightning V3, our new SOTA TTS model, just launched on Product Hunt.
> 3.33 overall naturalness - beating ElevenLabs (3.2), Cartesia (3.25), OpenAI (3.14)
> ~76% win rate vs gpt-4o-mini-tts on naturalness
> 3.89 MOS - highest in conversational TTS
Play our audio against OpenAI's. Side by side. We'll wait.
Oh, and the Voice AI industry's TTS eval process is completely wrong.
Check out our product hunt page and our research. Link is in comments.