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Retell AI sells the infrastructure layer for voice agents — a conversation API with turn-taking, interruption handling and telephony that developers use to build AI phone products. Sacra estimates its run rate at $60M, growing 650% year over year, about twenty-seven months after launch per Leonis Capital. The sourced numbers are below.
~$60M
Run rate, per Sacra
+650%
Year-over-year growth
27 months
Launch to $50M, per Leonis
Developers
The customer, not enterprises
Annualized run rate in USD millions, 2024 to 2026. Retell has not disclosed exact revenue; the curve follows Sacra's estimates, including its 650% year-over-year growth figure.
Launch → $50M ARR
~27 months
Leonis Capital
YoY growth
+650%
Sacra, 2026
Run rate
~$60M/year
Sacra, 2026
Founder
Shangding Gu (Stanford)
Company
2023
$0M ARR
Founded by Shangding Gu, a Stanford PhD, to fix the hardest part of voice AI: not speaking, but listening — turn-taking and interruption in real conversation. — Company
2024
$4M ARR
The conversation API launches; developer teams building AI phone products adopt it instead of stitching speech-to-text, LLM and telephony stacks together. — Company / Estimated
2025
$15M ARR
Voice-agent products multiply across reminders, receptionists and outbound sales — each one metering Retell minutes. — Estimated
2026
$60M ARR
Sacra estimates $60M/year, up 650% YoY; Leonis Capital charts roughly twenty-seven months from launch to $50M. — Sacra / Leonis
Latest estimated ARR
~$60M
Sacra, 2026
Growth rate
+650% YoY
Sacra, 2026
Time to $50M
~27 months from launch
Leonis Capital
Founded
2023
Company
Founder
Shangding Gu
Company
Pricing model
Usage-based, per minute
Company
Disclosed revenue
None; Sacra estimates
—
Category
Voice AI infrastructure
Company
Retell's insight is that voice AI products don't fail on the model's ability to speak — they fail on conversation mechanics: when to talk, how to handle interruption, how to stay natural across latency. Retell productized those mechanics into a conversation API with telephony attached, so a developer team can ship an AI phone line without assembling a speech stack.
Pricing is usage-based per minute, which makes revenue compound with every product built on top: each customer's success raises their spend automatically. That's the infrastructure pattern — metered consumption, no enterprise sales cycle — and it's why the 650% growth figure is structurally plausible rather than promotional.
Revenue Mix
FAQ
Clink meters per-minute API usage, handles prepaid credits and thresholds, and consolidates metered invoices for infrastructure products that bill on consumption.
Meter API Revenue→