
Twenty minutes with the CEO of ElevenLabs, now reportedly valued at $22 billion
ElevenLabs builds the voice layer of AI, the models that turn text into speech that sounds human. Most people encounter it when they’re talking with customer service — often without realizing it. Klarna runs first-line phone support for 35 million U.S. customers on it, for example.
- ▪ElevenLabs builds the voice layer of AI, the models that turn text into speech that sounds human.
- ▪Most people encounter it when they’re talking with customer service — often without realizing it.
- ▪Klarna runs first-line phone support for 35 million U.S. customers on it, for example.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/24/twenty-minutes-with-the-ceo-of-elevenlabs-now-reportedly-valued-at-22-billion/ |
| Publication time | Thu, 24 Sep 2026 16:35:13 +0000 |
| Retrieval time | 2026-09-24T16:40:26.249Z |
| Last seen | 2026-09-24T16:40:26.249Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 5DytgpP5fULk · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ElevenLabs builds the voice layer of AI, the models that turn text into speech that sounds human. Most people encounter it when they’re talking with customer service — often without realizing it. Klarna runs first-line phone support for 35 million U.S. customers on it, for example. So do Deutsche Telekom, Cisco, Adobe, and a growing list of governments. ElevenLabs also sells to creators, who use its platform for audiobooks, dubbing, and music. It’s not alone in what it does. In fact, it’s increasingly bumping into customers, including Decagon, a conversational AI platform that trained its voice product on ElevenLabs and now competes with it. But its investors don’t seem too concerned.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.