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Where SF Builds Real-Time Voice AI

A living hub for the San Francisco Voice AI community: events, people, and hard-won lessons from building real-time voice systems in production.

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What’s coming up in San Francisco

Join SF’s Voice AI Builder Community

This is where Voice AI conversations move past demos and into production reality. Our San Francisco events bring together developers, engineers, and technical leaders building or scaling real-time voice systems today.

Each session is shaped around what actually breaks in production. Latency trade-offs, infrastructure decisions, agent behavior at scale, observability, and system design are all fair game. The goal is practical insight you can take back to your team.

Browse the calendar to see what’s coming up next. Every event is an opportunity to join small-group discussions, hear from teams in the field, and connect with others working through the same Voice AI challenges.

meet the team

Abhishek — Technical Product Marketing

Focused on Voice AI infrastructure and architecture trade-offs, Abhishek works with teams pushing real-time systems into production. “Latency, accuracy, and scale are always in tension. Voice AI forces you to choose.”

→ Follow Abhishek

Sonam — Developer Advocate

Working directly with builders at meetups and events, Sonam brings field-level insight into how Voice AI systems behave once they’re live. “Most Voice AI issues don’t show up in the model — they show up between systems.”

→ Follow Sonam

Voice AI Articles by Telnyx
  • Icon Resources Article

    26 principles for adopting voice AI in production (2026)

    26 practical principles for running voice AI in production, covering latency, reliability, escalation, and real PSTN traffic.

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  • Icon Resources Article

    How Telnyx Fixed Voice AI Latency with Co-Located Infrastructure

    Most voice AI feels robotic because of latency, not bad voices. Every network hop adds delay. We fixed it by colocating our GPUs with our telephony core, cutting response times sub second and making conversations feel human again.

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  • Icon Resources Article

    Build a Voice AI product that does not fall apart on real calls

    Explore why most voice AI fails in production, what a real system must do end-to-end, and how to measure success using job-level metrics and reliable escalation.

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