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Timothée Lacroix

Co-founder and CTO, Mistral AI

  • Co-founder and CTO, Mistral AI1

Timothée Lacroix is a co-founder and the CTO of Mistral AI, according to the company's about page. Lacroix is a co-author of LLaMA: Open and Efficient Foundation Language Models (2023), whose authors are listed with a Meta AI affiliation, and first author of Canonical Tensor Decomposition for Knowledge Base Completion (2018). Lacroix co-authored the Mistral 7B and Mixtral of Experts papers, which say the models are released under the Apache 2.0 license, and is listed among the authors of Devstral (2025), a paper from Mistral AI and All Hands AI.123456

At a glance

Current role
Co-founder and CTO
Company
Mistral AI
Sector
Company
Work listed
2
Sources cited
7
Profile reviewed

Research

Lacroix's early research concerned knowledge base completion. With Nicolas Usunier and Guillaume Obozinski, Lacroix first-authored "Canonical Tensor Decomposition for Knowledge Base Completion" in 2018 and a 2020 follow-up on tensor decompositions for temporal knowledge base completion.37

Lacroix then turned to large language models and is a co-author of the February 2023 LLaMA paper, whose authors are listed with Meta AI. At Mistral AI, Lacroix co-authored the Mistral 7B and Mixtral of Experts papers, describing models released under the Apache 2.0 license, and the 2025 Devstral paper on fine-tuning language models for coding agents.2456

Mistral AI

Mistral AI's about page says the company was founded in April 2023 and lists Lacroix as co-founder and CTO alongside Arthur Mensch, the CEO, and Guillaume Lample, the Chief Science Officer. The page's key dates include the release of the 7B model in September 2023, Mistral Large in February 2024, Mistral Small 3 and a new Le Chat in early 2025, and later products such as Mistral Code, Mistral Compute, Voxtral, Mistral Studio and Forge.1

Work and contributions

  • LLaMA Published research

    Co-author of LLaMA: Open and Efficient Foundation Language Models (2023), which introduces foundation models from 7B to 65B parameters and says all models were released to the research community.2

  • Mistral 7B and Mixtral 8x7B Open weights

    Co-author of the Mistral 7B (2023) and Mixtral of Experts (2024) papers; both abstracts say the models are released under the Apache 2.0 license. Also listed among the authors of Devstral (2025), a Mistral AI and All Hands AI paper.456

Timeline

  1. Released "Canonical Tensor Decomposition for Knowledge Base Completion" as first author.3
  2. Released a first-authored paper on tensor decompositions for temporal knowledge base completion.7
  3. Co-authored the LLaMA paper on open and efficient foundation language models.2
  4. Co-founded Mistral AI with Arthur Mensch and Guillaume Lample, becoming its CTO.1
  5. Mistral AI released the Mistral 7B model.1
  6. Co-authored the Mixtral of Experts paper.5
  7. Mistral AI released Mistral Large.1
  8. Co-authored the Devstral paper on fine-tuning language models for coding agents.6

Other documented roles

Roles the sources document that are not confirmed as current.

  • Co-author of the LLaMA paper, listed with a Meta AI affiliation (2023), Meta AI2

Where they work

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References

7 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Mistral AI — About (founders)Mistral AI · Official page · accessed Oct 21, 2026
  2. LLaMA: Open and Efficient Foundation Language Models (arXiv 2302.13971), author list and Meta AI affiliationarXiv · Paper · published Feb 27, 2023 · accessed Oct 21, 2026
  3. Canonical Tensor Decomposition for Knowledge Base Completion (arXiv 1806.07297)arXiv · Paper · published Jun 19, 2018 · accessed Oct 21, 2026
  4. Mistral 7B (arXiv 2310.06825)arXiv · Paper · published Oct 10, 2023 · accessed Oct 21, 2026
  5. Mixtral of Experts (arXiv 2401.04088)arXiv · Paper · published Jan 8, 2024 · accessed Oct 21, 2026
  6. Devstral: Fine-tuning Language Models for Coding Agent Applications (arXiv 2509.25193)arXiv · Paper · published Aug 8, 2025 · accessed Oct 21, 2026
  7. Tensor Decompositions for temporal knowledge base completionarXiv · Paper · published Apr 10, 2020 · accessed Oct 21, 2026