MarketPoolside AI
Company Profile

Poolside AI

Poolside AI or poolside is an American startup developing artificial intelligence to write computer software and coding applications. 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. In October 2025, Nvidia announced that it would invest up to $1 billion in Poolside which would quadruple its valuation to $12 billion.

History
Poolside AI was founded in early 2023 by Jason Warner, former CTO of GitHub, and Eiso Kant, a software entrepreneur. In October 2024, the company raised $500 million from Bain Capital. This valued the company at $3 billion, giving it unicorn status. 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. As of December 2025, Poolside has 150 employees worldwide. It is headquartered in San Francisco and invites its employees to a monthly concentrated work week at its Paris branch. ==Partnerships==
Partnerships
Poolside has signed contracts with RTX Corporation and other companies in the American defense industrial base, while working to sell its autonomous software development engine to Israeli defense companies. The first phase of Poolside's Project Horizon, a 2-gigawatt artificial intelligence campus located in Pecos County, Texas, started in October 2025. The data center will be one of the largest in the United States. == Activity ==
Activity
Poolside AI aims to generate computer code using a large language model. Poolside's software uses natural-language prompts from developers to create and test code that its executives have claimed gives the company's models an advantage in training "to act as software development assistants from the start". With its developments on artificial general intelligence, it has created an industrialized training infrastructure known as Model Factory, internal systems framework for building, training and evaluating large foundation models that automate the full lifecycle of model development. == References ==
tickerdossier.comtickerdossier.substack.com