- CEO, Essential AI12
Ashish Vaswani is the CEO of Essential AI, according to the company's about page, and wrote the December 2025 announcement of Rnj-1, Essential AI's pair of 8B base and instruction-tuned language models, whose model card lists the Apache 2.0 license. Vaswani is also a co-author of the Essential-Web v1.0 paper, which presents a 24-trillion-token web dataset annotated with a twelve-category taxonomy. Earlier, Vaswani was listed with a Google Brain affiliation as the first-listed author of Attention Is All You Need (2017), whose contribution note says Vaswani, with Illia Polosukhin, designed and implemented the first Transformer models, and as first author of the 2018 Tensor2Tensor paper.123456
At a glance
- Current role
- CEO
- Company
- Essential AI
- Sector
- Company
- Fields
- Language models, Datasets and data
- Education
- USC
- Work listed
- 6
- Sources cited
- 15
- Profile reviewed
Research
Ashish Vaswani is the first-listed author of "Attention Is All You Need" (2017), written with a Google Brain affiliation; the paper's contribution note says Vaswani, with Illia Polosukhin, designed and implemented the first Transformer models. In 2018 Vaswani was first author of the Tensor2Tensor paper, describing the Google Brain library that holds the reference Transformer implementation.567
Vaswani also co-authored several 2018 papers extending self-attention: relative position representations with Peter Shaw and Jakob Uszkoreit, the Image Transformer for image generation, and the Music Transformer for generating music with long-term structure.8910
Essential AI
As CEO of Essential AI, Vaswani is listed among the authors of the company's 2025 research papers, including "Rethinking Reflection in Pre-Training" (April 2025), "Practical Efficiency of Muon for Pretraining" (May 2025) and the Essential-Web v1.0 dataset paper (June 2025).111124
In December 2025 Vaswani wrote the announcement of Rnj-1, an 8B base and instruction-tuned model pair that roughly follows the Gemma 3 architecture and uses YaRN to extend context to 32k tokens. The models are published on Hugging Face under the Apache 2.0 license.23
Work and contributions
Rnj-1 Open weights
Author of Essential AI's December 2025 announcement of Rnj-1, an 8B base and instruction-tuned model pair that roughly follows the Gemma 3 architecture; the Hugging Face model card lists the Apache 2.0 license.23
Essential-Web v1.0 Open data
Co-author of the 2025 Essential-Web v1.0 paper, which presents a 24-trillion-token dataset in which every document is annotated with a taxonomy; the dataset card lists the ODC-By license.413
Transformer (Attention Is All You Need) Published research
First-listed author of the 2017 paper that introduced the Transformer; the paper lists the author order as random and says Vaswani, with Illia Polosukhin, designed and implemented the first Transformer models.5
Tensor2Tensor Open-source code
First author of the 2018 Tensor2Tensor paper; the Apache-2.0 library, developed by the Google Brain team, includes the reference implementation of the Transformer.67
Rnj-1 Instruct Open weights
First listed author in the citation block of the Rnj-1 Instruct model card; Essential AI's Rnj-1 announcement credits Vaswani in the leadership group for the research and engineering roadmap.142
Rnj-1.5 Instruct Open weights
Listed among the authors in the citation block of the Rnj-1.5 Instruct model card.15
Timeline
- Posted "Attention Is All You Need" as first-listed author, introducing the Transformer.5
- Co-authored the Image Transformer paper.9
- Co-authored "Self-Attention with Relative Position Representations" with Peter Shaw and Jakob Uszkoreit.8
- Posted the Tensor2Tensor for Neural Machine Translation paper as first author.6
- Co-authored the Music Transformer paper.10
- Co-authored "Rethinking Reflection in Pre-Training" with Essential AI colleagues.11
- Co-authored "Practical Efficiency of Muon for Pretraining" with Essential AI colleagues.12
- Co-authored the Essential-Web v1.0 paper on a 24-trillion-token organized web dataset.4
- Announced Essential AI's Rnj-1 base and instruction-tuned models.2
Other documented roles
Roles the sources document that are not confirmed as current.
- Listed with a Google Brain affiliation on 2017–2018 papers, Google Brain56
Where they work
- Essential AI 1 person in the wiki
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References
15 sources · profile reviewed Oct 21, 2026 · data updated Oct 22, 2026
- Essential AI — About (Essential Memo)
- Announcing Rnj-1: Building Instruments of Intelligence
- EssentialAI/rnj-1 model card (license apache-2.0)
- Essential-Web v1.0: 24T tokens of organized web data (arXiv 2506.14111)
- Attention Is All You Need (arXiv 1706.03762)
- Tensor2Tensor for Neural Machine Translation (arXiv 1803.07416)
- tensorflow/tensor2tensor README (Apache-2.0)
- Self-Attention with Relative Position Representations (arXiv 1803.02155)
- Image Transformer (arXiv 1802.05751)
- Music Transformer (arXiv 1809.04281)
- Rethinking Reflection in Pre-Training (arXiv 2504.04022)
- Practical Efficiency of Muon for Pretraining (arXiv 2505.02222)
- EssentialAI/essential-web-v1.0 dataset card (license odc-by)
- EssentialAI/rnj-1-instruct model card
- EssentialAI/rnj-1.5-instruct model card