# Albert Gu (slim)

> Albert Gu is co-founder and Chief Scientist. Cartesia Ink, Cartesia Sonic TTS API + MCP and Cartesia Voice Cloning API + MCP on Anchor Terminal, with grades, an about and public profiles.

- Full: https://www.anchorterminal.com/people/albert-gu/index.md (~1,250 tokens) · this version ~980 tokens · JSON https://www.anchorterminal.com/people/albert-gu/index.json · canonical https://www.anchorterminal.com/people/albert-gu/
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-28
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Co-founder and Chief Scientist.

Albert Gu is co-founder and chief scientist of Cartesia, which builds real-time voice AI models.

- X: https://x.com/_albertgu

## What Albert builds

- [Cartesia Ink](https://www.anchorterminal.com/tools/cartesia-ink-stt.md), graded B, 68/100, in Speech-to-text. Cartesia's hosted speech-to-text API. Ink 2 transcribes live audio in five languages over a WebSocket with built-in turn detection, and the older Ink Whisper model transcribes uploaded files in about 100 languages. Co-founder and Chief Scientist, researched 2026-10-27.
- [Cartesia Sonic TTS API + MCP](https://www.anchorterminal.com/tools/cartesia-tts.md), graded B, 64/100, in Text-to-speech. Sonic text-to-speech, currently `sonic-3.6` in 44 languages, over `/tts/bytes`, `/tts/sse` and a WebSocket that takes streamed LLM text with contexts and word timestamps. Co-founder and Chief Scientist, researched 2026-10-27.
- [Cartesia Voice Cloning API + MCP](https://www.anchorterminal.com/tools/cartesia-voice-cloning.md), graded C, 59.7/100, in Voice cloning & custom voices. Instant voice clones for Sonic from 10 to 60 seconds of audio, and Pro Voice Clones fine-tuned on 30 minutes or more, trained in up to 3 hours. Co-founder and Chief Scientist, researched 2026-10-27.

## Works with

- [Arjun Desai](https://www.anchorterminal.com/people/arjun-desai/), Co-founder
- [Brandon Yang](https://www.anchorterminal.com/people/brandon-yang/), Co-founder
- [Karan Goel](https://www.anchorterminal.com/people/karan-goel/), Founder and CEO

## Backed by

- [Kleiner Perkins](https://www.anchorterminal.com/investors/kleiner-perkins/)
- [Index Ventures](https://www.anchorterminal.com/investors/index-ventures/)
- [Lightspeed Venture Partners](https://www.anchorterminal.com/investors/lightspeed-venture-partners/)
- [Factory](https://www.anchorterminal.com/investors/factory/)
- [Conviction](https://www.anchorterminal.com/investors/conviction/)
- [General Catalyst](https://www.anchorterminal.com/investors/general-catalyst/)
- [A* Capital](https://www.anchorterminal.com/investors/a-capital/)
- [SV Angel](https://www.anchorterminal.com/investors/sv-angel/)

## Questions

### Who is Albert Gu?

Albert Gu is co-founder and chief scientist of Cartesia, which builds real-time voice AI models.

### What does Cartesia make?

Anchor Terminal lists Cartesia Ink, Cartesia Sonic TTS API + MCP and Cartesia Voice Cloning API + MCP from Cartesia.

### Who has invested in Cartesia?

The sources our research read name Kleiner Perkins, Index Ventures, Lightspeed Venture Partners, Factory, Conviction, General Catalyst, A* Capital and SV Angel.

### How are Albert's tools graded?

Cartesia Ink is graded B, 68 out of 100; Cartesia Sonic TTS API + MCP is graded B, 64 out of 100; Cartesia Voice Cloning API + MCP is graded C, 59.7 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.

## Sources

- https://cartesia.ai/company
- https://x.com/krandiash
- https://x.com/_albertgu
- https://www.linkedin.com/in/arjun-desai-4a731ba4
- https://x.com/bclyang
- https://www.cartesia.ai/company
- https://www.cartesia.ai/
- https://www.linkedin.com/company/cartesia-ai/
- https://docs.cartesia.ai/
- https://help.cartesia.ai/

These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched.