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§ Private Profile · Palo Alto, CA, USA
PaleBlueDot AI is a technology company that provides cloud-based GPU infrastructure through a marketplace and dedicated computing clusters.
PaleBlueDot AI is a technology company based in Palo Alto, California, specializing in cloud-based GPU infrastructure and AI compute solutions. The company delivers customized compute and platform services designed to provide cost-effective and high-quality AI computing. Their offerings include a marketplace for GPU infrastructure and dedicated computing clusters for various AI workloads.
The company focuses on enabling faster, better, and cheaper AI cloud capabilities for its clients. They also develop AI agent technologies and cloud computing solutions tailored for the IT sector, aiming to support next-generation AI computing through their platform and services.
PaleBlueDot AI has raised $150.0M across 1 funding round.
PaleBlueDot AI offers cloud-based GPU infrastructure through a marketplace and dedicated computing clusters, alongside customized compute and platform services for AI development and deployment. They also provide AI agent technologies and cloud computing solutions for the IT sector.
The company aims to deliver faster, better, and cheaper AI cloud capabilities by providing cost-effective, high-quality AI compute solutions and platform services. This includes customized compute options and a focus on efficient resource allocation.
PaleBlueDot AI offers cloud-based GPU infrastructure through a marketplace and dedicated computing clusters, alongside customized compute and platform services for AI development and deployment. They also provide AI agent technologies and cloud computing solutions for the IT sector.
The company aims to deliver faster, better, and cheaper AI cloud capabilities by providing cost-effective, high-quality AI compute solutions and platform services. This includes customized compute options and a focus on efficient resource allocation.
PaleBlueDot AI has raised $150.0M across 1 funding round. Most recently, it raised $150.0M Series B in January 2026 at a valuation of approximately $10.0M.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 28, 2026 | $150M Series B | B Capital | — | Announced |
PaleBlueDot AI provides cloud-based GPU infrastructure, offering both a marketplace and dedicated computing clusters to support diverse artificial intelligence applications. The company emphasizes delivering customized compute and platform services, aiming for cost-effective and high-quality solutions for its clientele. This approach addresses the growing demand for scalable and efficient AI processing capabilities across various industries.
The company's platform is designed to facilitate faster, better, and cheaper AI cloud operations, catering to the specific needs of the IT sector. It integrates advanced AI agent technologies and comprehensive cloud computing solutions. PaleBlueDot AI's services are built to support various stages of AI development, from complex reasoning tasks to efficient inference analysis, as indicated by their beta Inference Analysis Report.
A significant development for PaleBlueDot AI is the introduction of its Dot-1.1 AI Cloud Agent. This agent is positioned as a core component powering next-generation AI computing, indicating an emphasis on advanced, intelligent automation within their cloud environment. The Dot-1.1 agent aims to enhance the capabilities and efficiency of AI workloads managed through their platform.
PaleBlueDot AI's infrastructure supports a range of AI computing needs, providing the foundational resources necessary for developing and deploying AI models. By offering both a flexible marketplace and dedicated resources, the company seeks to optimize resource allocation and performance for its users, ensuring access to high-performance computing tailored to project requirements.
In addition to its technological offerings, PaleBlueDot AI operates with a consideration for user privacy. The company honors opt-out requests communicated through recognized privacy preference signals, such as the Global Privacy Control (GPC), where legally required. This demonstrates an adherence to privacy standards in its operational practices, reflecting a commitment to responsible technology deployment.