Arjun Kava

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Arjun Kava

Arjun Kava

@Arjun_Kava

Founder and CEO @ https://t.co/gjatYXBAZk | Build Voice AI agents in any app

Surat, India Katılım Temmuz 2014
2.4K Takip Edilen601 Takipçiler
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Arjun Kava
Arjun Kava@Arjun_Kava·
👋 Hey Product Hunt + Twitter, I'm Arjun — co-founder of @VideoSDKLive. Support us here: producthunt.com/products/video… We just open-sourced something I'm really proud of: VideoSDK Real-Time AI Agents. If you're building voice agents — this infra will change everything. Let me explain 👇
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Arjun Kava
Arjun Kava@Arjun_Kava·
Which means the same system can be used to build: • transcription pipelines • voice copilots • chat + voice agents • fully autonomous voice agents • realtime agents No rewrites. No separate stacks. videosdk.live/blog/introduci…
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Arjun Kava
Arjun Kava@Arjun_Kava·
Introducing Prism: Agents v1 (VideoSDK) • Unified Pipeline • pipeline hooks - control any stage (audio, text, turns) • Hybrid Pipeline - Mix any stack - STT, LLM, TTS, knowledge base, actions • Compose anything - STT-only, LLM-only, full voice, realtime • Built-in observability - metrics, logs, traces • Avatar support
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Arjun Kava
Arjun Kava@Arjun_Kava·
You don’t like the voice of your realtime model. But you can’t change it. Can’t fix pronunciation. Can’t clean transcripts before LLM. That’s where voice agents fail. So we rebuilt the pipeline.
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Arjun Kava
Arjun Kava@Arjun_Kava·
Anam.ai@Anam__ai

Anam interactive avatars are now natively supported on @Video_SDK. Add real-time video avatars to VideoSDK agent pipelines. Under 10 lines of Python. Sub-second response times. Works with your existing STT, LLM, and TTS. 70% user preference over voice-only. CARA model leads all tested providers on visual quality, lip sync, and overall experience (avatarbenchmark.com). anam.ai/interactive-av… @SagarKava_ @Arjun_Kava

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Arjun Kava retweetledi
Anam.ai
Anam.ai@Anam__ai·
Anam interactive avatars are now natively supported on @Video_SDK. Add real-time video avatars to VideoSDK agent pipelines. Under 10 lines of Python. Sub-second response times. Works with your existing STT, LLM, and TTS. 70% user preference over voice-only. CARA model leads all tested providers on visual quality, lip sync, and overall experience (avatarbenchmark.com). anam.ai/interactive-av… @SagarKava_ @Arjun_Kava
Anam.ai tweet media
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Arjun Kava
Arjun Kava@Arjun_Kava·
@bevenky Thanks, Venky. Big fan of what you've built at Plivo. 🫡
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Venky
Venky@bevenky·
@Arjun_Kava This is the missing piece. Every team building voice agents has been duct-taping deploys together. CLI + Dashboard with version control and real-time debugging is exactly what the space needs. The "Vercel for voice agents" moment is here.
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Arjun Kava
Arjun Kava@Arjun_Kava·
1/ Introducing AI Voice Agent Cloud Deployments via CLI + Dashboard ⚡️ Deploying voice agents shouldn’t feel complicated.
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operator
operator@operator_mode·
@Arjun_Kava what's the cold start latency looking like for voice specifically? that's usually where cloud deployments get tricky
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Arjun Kava
Arjun Kava@Arjun_Kava·
5/ No complex infra setup. No DevOps overhead. Just ship AI agents.
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Arjun Kava
Arjun Kava@Arjun_Kava·
8/ 🚀 One Platform. Any Voice AI model. Engineered for enterprise-grade reliability. Start building today 👉 dub.sh/uIsIJu9
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Arjun Kava
Arjun Kava@Arjun_Kava·
1/ Announcing VideoSDK Inference: One Magic API for every Voice AI model 🎉
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