ElevenLabs: voice AI from first product to $330M ARR and an $11B Series D

What it is

ElevenLabs builds AI voice and audio products: text-to-speech, voice agents, dubbing, sound effects and music. Enterprises use ElevenAgents for support and sales calls; creators use ElevenCreative; developers call ElevenAPI (ElevenLabs).

Timeline

• 2022: Mati Staniszewski and Piotr Dabkowski found ElevenLabs; first product launches in 2023 (TechCrunch, ElevenLabs).
• Jan 2025: $180M Series C co-led by a16z and ICONIQ at a $3.3B valuation (TechCrunch).
• 13 Jan 2026: Staniszewski tells Bloomberg (via TechCrunch) that ElevenLabs crossed about $330M ARR: "It took us 20 months to reach $100 million in ARR, 10 months to reach $200 million, and five months to reach the current number" (TechCrunch).
• 4 Feb 2026: $500M Series D led by Sequoia at an $11B valuation; total funding $781M. Company blog: closed 2025 with over $330M ARR (ElevenLabs).

Why it worked

• Research + product loop. Dabkowski: they start with human-like voice models, then expand across speech-to-text, dubbing, music and conversation and ship them as platforms (ElevenLabs).
• Enterprise voice agents. Series D post highlights Deutsche Telekom, Square, the Ukrainian Government and Revolut using ElevenAgents (ElevenLabs).
• Developer and consumer wedge. ElevenAPI customers named include Meta, Epic Games and Salesforce; Creative customers include Duolingo, NVIDIA and TIME (ElevenLabs).
• Compression of time-to-ARR. The CEO's own milestones show each $100M ARR step taking half as long as the previous one (TechCrunch).

What to learn

1. A narrow wedge (great TTS) can expand into a full audio stack once distribution exists.
2. Publish ARR milestones with time-to-milestone; investors and press repeat clear founder math (TechCrunch).
3. Split SKUs by buyer: agents for ops teams, creative for media, API for builders (ElevenLabs).

Risks and what didn't work

• Self-reported ARR. $330M ARR is founder/company-stated via Bloomberg/TechCrunch and the Series D blog (TechCrunch, ElevenLabs).
• Model and platform risk. Big clouds and device makers can ship competing voice stacks; differentiation depends on quality, latency and enterprise tooling.
• Voice likeness and rights. Celebrity voice deals help marketing but raise ongoing consent and licensing complexity (noted in press coverage of partnerships) (TechCrunch).