Rapida Cloud is now live in the US ๐บ๐ธ.
Start in the cloud. Move to private cloud or on-prem when needed.
https://t.co/cbcbqNKM5I
#VoiceAI#AIInfrastructure#BuildInPublic
@WillowVoiceAI Impressive benchmarks. Building real STT infra from human-powered data is the hard way, but the right way. Would love to try Atlas 1 in our pipeline. If you're looking for open-source voice orchestration to pair with, check out Rapida. https://t.co/FWONqaTDMz
@livekit It is not just about intelligence. There is no single VAD that works for every usecase.
At @rapidaai, teams can test Silero (strong default), TEN VAD (lower-latency frame hops), and FireRed (better in noisy overlap cases). The right choice depends on workload and latency goals.
Rapida is now on @awsmarketplace.
One click. Deploys inside your VPC. Full voice AI infrastructure (speech-to-text, text-to-speech, llm, telephony) running in your AWS account.
Limited access right now.
DM me to get enabled.
@awscloud@AWSstartups
https://t.co/FWONqaTDMz
Hey @X@XCorpIndia ๐
Iโm looking to connect with people building in AI & Voice AI, especially:
โข Agency owners
โข Startup founders
โข Designers
โข Developers / Coders
โข Product Managers
Letโs connect, share ideas, and grow together โจ
This was a crazy year for us.
3,482 contributions.
Countless late nights.
Rewriting telephony. Fixing latency. Killing hidden hops.
Rapida is no longer an idea. Itโs infrastructure.
https://t.co/UObXnFYdl4
Why does almost every open source voice agent framework look the same?
STT โ LLM โ TTS
Mostly Python. Mostly linear.
Is this real consensus, or just everyone copying the same early pattern?
#VoiceAI#AIEngineering#OpenSource#LLMs#voiceagent
Why does almost every open source voice agent framework look the same?
STT โ LLM โ TTS
Mostly Python. Mostly linear.
Is this real consensus, or just everyone copying the same early pattern?
#voiceagent#voiceai#OpenSource#LLMs