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- Retell AI: The “AI BPO” putting a voice agent on every phone line
Retell AI: The “AI BPO” putting a voice agent on every phone line
🤖 Meet Bing Wu, Zexia Zhang, Todd Li, Weijia Yu, and Evie Wang: the founders that hit $15M ARR in under 2 years building a full-stack AI BPO that makes voice agents feel human.
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Hi 👋, this is the Today in AI Newsletter: The weekly newsletter bringing you one step closer to building your own startup.
We analyze a cool, industry-shaping AI startup every week, with a full breakdown of what they do, how they make money, how much they’ve raised, and the opportunity ahead.
Let’s get to the good stuff in this email:
📲 This startup is building the AI BPO to replace call centers forever ($350B Market)
💸 They’re already at $15M ARR with a ~20-person team, processing 30M+ calls/month, and ranked #2 on the Harmonic Hot 25 entering Q4 2025.
💰 Raised $4.6M Seed led by Alt Capital, backed by Y Combinator (W24) and 20+ founders/executives (including Aaron Levie and Michael Seibel).
So what’s the startup and who are the founders behind it? Here’s the story of Retell AI 📈
Retell AI was founded in 2023 by Bing Wu, Zexia Zhang, Todd Li, Weijia Yu, and Evie Wang to build conversational voice AI. 🗣️
They’re currently the #1 platform for building and managing conversational voice AI - think contact center automation without the wait music, or months of engineering.
Their mission: cut implementation for voice agents from months to a day, and deliver a full-stack “AI BPO” that handles tasks end-to-end.
What exactly it does 👇
Retell combines an AI-native platform with a robust API so teams can build, test, deploy, and monitor agents that sound natural and resolve real work.
The flow is straightforward:
You build with an agent builder and voice AI API. 🔊
You test using LLM-driven evaluations to harden edge cases. 🤖
You deploy across phone, web, SMS, and chat. 💬
You monitor success rates, latency, sentiment, and failed calls in a single dashboard to keep quality tight. 🧑💻
The special sauce is a custom turn-taking model that listens for semantic and audio cues, preventing interruptions and awkward gaps so calls feel empathetic and human.
If you need a mental model, think of it as putting your best operator - one who never gets tired, never forgets policy, and can book, route, log, and follow up on every line, 24/7.
Backstory 👀
Day 0 wasn’t customer service. The team started with live-streaming dubbing to help creators reach English audiences, but a painful 7-second latency killed traction. ❌
Then came the pivot spark ✨: community feedback asked, “Why can’t this just be AI?”
That question pulled the founders into true two-way conversation - where latency, turn-taking, and handoffs actually decide if users trust the experience.
They launched publicly early on (HN/Product Hunt buzz), were initially rejected by Y Combinator, then accepted to Y Combinator (W24) after perfecting their demo.
They then shifted from a developer-only API to contact-center-grade agents - aiming to be the AI BPO that glues into real operations.
The founding team is super cool:
✅ Bing Wu (CEO): Ex-ByteDance/TikTok PM shipping to billions, two investor-backed startups with six-figure revenues.
✅ Zexia Zhang (CTO): Google alum shipping next-gen speech translation & NLP for call analysis.
✅ Todd Li (President): Repeat founder, ex-Google Ads engineer.
✅ Weijia Yu (COO): Ex-Meta PM/Tech Lead; previously shipped full-stack AI (TTS/CV/chatbot) at ObEN (Series B).
✅ Evie Wang (CMO): Ex-ByteDance product designer; led onboarding that cut drop-offs by 25% and launched a flagship app.
They have a large founding team compared to most startups but this means deliberate tension: be fast when speed wins, be stubborn when quality matters.