What they do: Voice AI platform to build, observe, and evaluate voice agents with in-house audio foundation models
Headquarters: San Francisco, CA
Stage / funding: $4M seed led by Lux Capital
Team size: ~18 employees
Reliability, latency, and observability of conversational voice AI agents and synthetic voice interactions.
2024
Voice AI / Conversational AI
$4,000,000
Participation from individual investors including founders and operators from Replit, Hugging Face, Applied Intuition, Modal, and others
“Backed by Lux Capital with participation from notable seed investors and operator angels”
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About Phonic Phonic is a product and research lab focused on powering the most realistic, human-like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence.
Our team includes top-tier AI researchers, international olympiad medalists, and former founders.
Our customers include companies that are building voice-native AI products in industries such as customer support, healthcare, and logistics. We have raised over $30M from First Round and Lux Capital.
About The Team Phonic has a very talent-dense and close-knit team. We collaborate with high trust and are constantly trying to improve how we work to deliver world-class research and product. Everyone takes ownership in what they do and they aren’t afraid to dive in headfirst into new problems. Our team includes top-tier AI researchers, international olympiad medalists, and former founders and we’re fully in-person in our SF office.
About The Role As a Backend Engineer at Phonic, you'll build the critical systems that power real-time voice AI at scale. You'll craft highly reliable, low-latency infrastructure that serves production traffic for hundreds of thousands of mission-critical calls every day. Working directly with product, design, and research teams, you'll ship cutting-edge AI capabilities while maintaining and scaling our infrastructure as we rapidly grow revenue.
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