Tech Week East Approaches Cloudonix is hosting or cohosting a number of agentic voice related events in Boston and New York - the official Tech Week calendar will be out closer to the end of April Events in Tech Week Boston May 26 10:00 AM Agentic Voice Workshop https://partiful.com/e/Z49RTBQXINeOZOyCOjKI May 26 3:30 PM Agentic Voice AMA https://partiful.com/e/dqT8aqmCazCqPJiPoK6o (online) Events in Tech Week NYC Jun 1 10:00 AM Agentic Voice Workshop https://partiful.com/e/pxdWahJXi0EQklEuU50W Jun 1 1:00 PM Agentic Voice Hackathon https://partiful.com/e/E915u2aKmufVgYwg0Cdf Jun 2 3:30 PM Agentic Voice AMA https://partiful.com/e/EujnL6UKFFK3xvPiVUyp (online) We are affiliated with other events not related to agentic voice if anyone is interested

Hi everyone, As part of NY Tech Week we will be hosting an Agentic Voice hackathon and we are looking for anyone that can help with mentoring the teams as they build their agent. Please let me know if you are available or want more information. It will be the afternoon of June 1st Downtown.

I was wondering what use cases anyone has been using agentic voice for in their sales process? We are hearing about various ones related to: - Inbound SDR pre qualification before transferring to a human SDR - Outbound SDR pre qualification before transferring to a human SDR - Automated self service sales with an option for transferring to a human sales agent - Inbound post sales support - Outbound post sales upsell support - Outbound post sales customer surveys - Old fashion inbound IVR replacement (including language selection) before transferring to a human agent - Outbound appointment reminders (doctors, lawyers, installation tech, etc.) All of these seem to help both the sales process and improve customer experience for better LTV To repeat the question what use cases anyone has been using agentic voice for in their sales process? And what results are you seeing?

Hey everyone — been building local-first AI infrastructure and this community is exactly my vibe. I run a full AI pipeline from a single laptop (RTX 5080 16GB, 32GB DDR5) — Ollama in Docker with GPU passthrough, PostgreSQL, Redis. The philosophy: 80% of AI workload runs on free local models, only the 20% that needs frontier reasoning hits a cloud API. Cost per pipeline run dropped from $8-15 to $0.15-0.40. I've shipped a few tools with this setup — market scanners, a knowledge retention engine with RAG, and a live SaaS API product. All from the same machine. What brought me here: I want to add a voice layer. Seeing folks run Pipecat with local STT/TTS on consumer GPUs is exactly the direction I'm heading. My Ollama stack already handles LLM inference — pairing that with local Whisper or the new NVIDIA Nemotron STT model on the same GPU seems like the natural next step. A few things from the recent threads caught my eye: - @Kwindla's sub-500ms voice-to-voice on an RTX 5090 with Nemotron — curious how that scales down to a 5080 with 16GB VRAM when the LLM is also loaded - @Jin Park's custom orchestration engine replacing Vapi/Retell — that modular approach maps directly to how I route pipeline stages between local and cloud models - The latency discussion around local vs cloud STT — has anyone benchmarked Whisper locally against Deepgram for voice agent round-trip times? Looking forward to learning from this group and sharing what I build.

I'm currently handling about 6k calls per day between a few different enterprises. We're likely going to implement and build this all out in LiveKit but I also need a better eval + simulation solution and I don't really want to build it out as well. I have seen Coval but I don't know the cost yet -- what else it out there that you guys use that can give me actionable feedback of missed tool calls, hallucinations, etc.