Andriy Mulyar is the CEO of Nomic, which now focuses on domain-specific AI models and agents for the design and construction industries. Mulyar is a co-author of the technical report for GPT4All, Nomic's open-source application for running large language models privately on everyday desktops and laptops. The Nomic Embed technical report credits Mulyar with setting the project's early direction, reviewing code implementations, and contributing to model design and dataset curation.123456
At a glance
- Current role
- CEO
- Company
- Nomic AI
- Sector
- Company
- Fields
- Language models, Datasets and data
- Work listed
- 2
- Sources cited
- 9
- Profile reviewed
Research
Andriy Mulyar's earlier research includes MT-Clinical BERT (2020), written with Bridget T. McInnes, which uses multitask learning to scale clinical information extraction. At Nomic, Mulyar co-authored the GPT4All technical report (2023), describing an ecosystem of open-source compressed language models built with the GPT4All community.745
Mulyar is also a co-author of Nomic's embedding papers: Nomic Embed (February 2024), a reproducible long-context text embedder for which Mulyar set early project direction, and Nomic Embed Vision (June 2024), which extends the embedding space to images.869
Products and projects
As CEO, Mulyar wrote the November 2025 announcement of a new Nomic Platform, which applies domain-specific models and agentic workflows to drawing sets, specifications and project data in architecture, engineering and construction. A September 2026 Nomic post signed by Mulyar announced partnerships with the engineering firms Aurecon and Arcadis.12
Work and contributions
GPT4All
Co-author of the GPT4All technical report and one of the authors listed in the repository's citation block.45
Nomic Embed
Set early project direction, reviewed code implementations, and made model design and dataset curation contributions, according to the technical report's contributions section.68
Timeline
- Posted MT-Clinical BERT, on multitask learning for clinical information extraction, with Bridget T. McInnes.7
- Co-authored the GPT4All technical report on open-source compressed language models.4
- Co-authored the Nomic Embed paper on a reproducible long-context text embedder.8
- Co-authored Nomic Embed Vision with Zach Nussbaum and Brandon Duderstadt.9
- Announced the new Nomic Platform for architecture, engineering and construction firms.1
- Announced Nomic partnerships with Aurecon and Arcadis.2
Where they work
- Nomic AI 3 people in the wiki
Related people
- Brandon DuderstadtAlso at Nomic AI
- Zach NussbaumAlso at Nomic AI
- Swabha SwayamdiptaDatasets and data · Language models
- Sriram RaghavanLanguage models · Datasets and data
- Albert JiangLanguage models · Datasets and data
- Sara HookerLanguage models · Datasets and data
- Rohan TaoriLanguage models · Datasets and data
- Adina WilliamsLanguage models · Datasets and data
- Ruchir PuriLanguage models · Datasets and data
- Bill DolanLanguage models · Datasets and data
Suggest a correction or removal
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References
9 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- Announcing a new Nomic Platform
- Announcing Nomic's strategic funding round and partnerships with Aurecon and Arcadis
- AndriyMulyar on GitHub
- GPT4All: An Ecosystem of Open Source Compressed Language Models
- nomic-ai/gpt4all README
- Nomic Embed: Training a Reproducible Long Context Text Embedder (technical report)
- MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning (arXiv 2004.10220)
- Nomic Embed: Training a Reproducible Long Context Text Embedder
- Nomic Embed Vision: Expanding the Latent Space (arXiv 2406.18587)