Poolside AI
American artificial intelligence company
From Wikipedia, the free encyclopedia
Poolside AI or poolside is an American startup developing artificial intelligence to write computer software and coding applications.[2][3] It focuses on creating the "most capable AI" to automate and improve coding processes, emphasizing security, privacy, and efficiency for businesses, with plans to build artificial general intelligence.[2][4] In October 2025, Nvidia announced that it would invest up to $1 billion in Poolside which would quadruple its valuation to $12 billion.[5]
- Jason Warner (President and Co-Founder)
- Eiso Kant (CTO and Co-Founder)
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| Industry | Artificial intelligence |
|---|---|
| Founded | 2023 |
| Headquarters | San Francisco, United States[1] |
Key people |
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| Products |
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| Website | poolside.ai |
History
Poolside AI was founded in early 2023 by Jason Warner, former CTO of GitHub, and Eiso Kant, a software entrepreneur.[2] It secured a seed funding of $26 million, followed shortly by an additional $100 million funding round.[6][7]
In October 2024, the company raised $500 million from Bain Capital.[8][9] This valued the company at $3 billion, giving it unicorn status.[10][11] At the time, Poolside had shown a code-generation demonstration to its investors and later released a product for coding automation, targeting government and defense applications.[2][5]
Partnerships
In December 2024, Poolside and AWS announced a strategic partnership to offer secure and customizable generative AI solutions for software development on Amazon Bedrock and Amazon EC2. This collaboration allows businesses to deploy Poolside's AI Assistant and its foundational models (Malibu and Point) within their existing AWS environment, benefiting from AWS's security and performance.[12]
The first phase of Poolside's Project Horizon, a 2-gigawatt artificial intelligence campus located in Pecos County, Texas, started in October 2025.[13] The data center will be one of the largest in the United States.[5]
Activity
Poolside AI aims to generate computer code using a large language model.[14][15]