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Company Overview
Poolside is a software and code-focused AI company dedicated to being trained in AI for code, software, and Git repositories, aiming to build the world's most powerful AI for software development and applications.Poolside aims to unlock the potential of developers so that most economically valuable work can be done by machines, thus allowing people the freedom to choose how to spend their time.
Team Introduction
Poolside's team consists of a group of experts with deep backgrounds in artificial intelligence and software development. The company's founder, Jason Warner, served as CTO at GitHub and was involved in the creation of GitHub Copilot. In addition, Poolside's R&D team has applied researchers and engineers from DeepMind, Yandex, Amazon, Uber, and other companies. These experts have rich experience and expertise in artificial intelligence, machine learning, software development, and other fields, providing solid support for Poolside's technological innovation and product development.
Financing
Poolside has received multiple rounds of funding since its inception, and the following is a breakdown of the funding history:
- seed round: On May 14, 2023, Poolside secured a $26 million seed round of funding from investors including Red Dot Capital, The Twenty Minute VC, Point Nine, New Wave, Kima Ventures, and others.
- Series A financing: On August 24, 2023, Poolside announced the closing of a $100 million Series A round of financing from Felicis Ventures, Scribble Ventures, Red Dot Capital, New Wave Ventures, and others.
- Series B Financing: On October 3, 2024, Poolside successfully closed a $500 million Series B financing round led by Bain Capital Ventures, with other investors including DST Global, StepStone Group, Schroders Capital, Premji Invest, Dorsal Capital, BAM Elevate, Adams Street, Fin Capital, Felicis Ventures, and Redpoint Ventures, as well as NVIDIA, Citi Ventures, Capital One Ventures, HSBC Ventures, LG Technology Ventures and eBay Ventures.
Products & Services
Poolside's key products and services include:
- Intelligent Code Assistant: Poolside's first product is an intelligent code assistant for developers that provides developers with smart code suggestions based on Poolside's AI models to accelerate the content they can build and publish. With the enhanced modeling capabilities, developers will be able to more easily create complex software without having to delve into programming details.
- Enterprise Services and Public Sector Market Solutions: Poolside has built a complete range of solutions from base models to products designed to enter the enterprise services and public sector markets. These solutions help global head enterprises and public sector organizations to develop software efficiently and drive technological advancement.
Core Advantages
Poolside's core strengths are primarily in the following areas:
- Strong R&D team: Poolside has a strong R&D team of applied researchers and engineers from DeepMind, Yandex, Amazon, Uber, and other companies with extensive experience and expertise in AI and software development.
- Advanced AI modeling: Poolside's AI models are heavily trained and optimized to automate code writing and provide developers with code suggestions that fit into a specific context or code base. This greatly simplifies the software development process and the associated technical learning curve.
- Broad customer base: Poolside has served Global 2000 companies and public sector organizations with the highest security and privacy standards, complex environments, and large code and knowledge bases.Poolside is able to deploy its technology in these environments and provide its clients with the best of both worlds - protecting the privacy of their data while allowing models to learn from their interactions with developers to learn and improve their output.
- financial strength: Through multiple rounds of funding, Poolside has raised a huge amount of money that will help the company accelerate product development and market expansion. For example, Poolside plans to use the funds from the new round of funding to deploy 10,000 Nvidia GPUs online to accelerate the speed of model training and to further advance its marketing and R&D efforts.
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