CAST AI

CAST AI is a technology company.

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Updated: Feb 17, 2026 ·

Recent News & Mentions

Apr 1, 2025FundingCAST AI - Series C Nov 1, 2023FundingCAST AI - Series B Feb 1, 2023FundingCAST AI - Series B Oct 1, 2021FundingCAST AI - Series A

Financial History

CAST AI has raised $175.0M across 4 funding rounds. Most recently, it raised $110.0M Series C in April 2025.

Total Raised

$175.0M

Valuation

N/A

Funding Rounds Raised

Date	Round	Other Investors
Apr 1, 2025	$110.0M Series C	42CAP, 468 Capital, Begin Capital, Cota Capital, Creandum, HOF Capital, LEA Partners, Scale Asia Ventures, Vintage Investment Partners, Ben Uretsky, Chris Murphy, Mario Götze
Nov 1, 2023	$35.0M Series B	Cota Capital, Creandum, Scale Asia Ventures, Vintage Investment Partners, Chris Murphy
Feb 1, 2023	$20.0M Series B	42CAP, 468 Capital, Andreessen Horowitz, Begin Capital, Creandum, HOF Capital, LEA Partners, Scale Asia Ventures, Two Sigma Ventures, Andy Johns, Ben Uretsky, Ian McNish, Mario Götze, Mathias Ockenfels
Oct 1, 2021	$10.0M Series A	Cota Capital, Creandum, Scale Asia Ventures, Vintage Investment Partners, Chris Murphy

Financial History

CAST AI has raised $175.0M across 4 funding rounds.

Total Raised

$175.0M

Valuation

N/A

Deep Dive

CAST AI - High-Level Overview

CAST AI is a technology company specializing in an Application Performance Automation platform that optimizes Kubernetes workloads to reduce cloud costs, improve performance, and boost DevOps productivity. Its platform uses advanced machine learning to automatically optimize cloud infrastructure in real time, delivering cost savings often exceeding 40-60% while maintaining or enhancing reliability. CAST AI serves cloud-native companies running Kubernetes clusters across major cloud providers like AWS, Google Cloud, and Azure, helping them automate workload scaling, resource allocation, and security enforcement without manual intervention. The company has gained significant traction, serving over 2,100 customers globally, including major enterprises such as Akamai, BMW, and Hugging Face[1][2][3][5].

Origin Story

CAST AI was founded by Leon, Laurent, and Yuri, who previously co-founded Zenedge, a cloud-based cybersecurity startup acquired by Oracle in 2018. Their experience managing escalating cloud costs at Zenedge inspired them to create a solution that could automate cloud cost optimization. This frustration with manual cloud management led to CAST AI’s mission: to build a platform that automatically optimizes cloud infrastructure for Kubernetes workloads, eliminating waste and improving efficiency. Since its founding around 2018-2019, CAST AI has evolved from a cost-saving tool to a comprehensive automation platform integrating AI-driven optimization for CPU, GPU, and database workloads[1][5][6].

Core Differentiators

Full Automation: CAST AI automates Kubernetes cluster management, including rightsizing workloads, bin packing, Spot Instance orchestration, and autoscaling, eliminating manual tuning.
Advanced Machine Learning: Uses real-time AI algorithms to continuously analyze and optimize resource allocation, delivering ongoing cost savings and performance improvements.
Multi-Cloud and Hybrid Support: Integrates seamlessly with AWS, Azure, Google Cloud, and on-premise Kubernetes environments.
Comprehensive Optimization: Beyond compute, CAST AI optimizes GPU workloads, managed databases, and security configurations automatically.
Developer-Friendly: Designed to give DevOps teams back time by replacing manual scaling and capacity planning with intelligent automation.
Proven ROI: Customers report up to 40-60% cloud cost reductions and rapid payback periods, often within months[1][3][4][5].

Role in the Broader Tech Landscape

CAST AI rides the growing trend of cloud-native computing and Kubernetes adoption, addressing the critical challenge of cloud cost management amid surging infrastructure demands. As AI workloads and GPU compute become more prevalent, CAST AI’s focus on optimizing these expensive resources positions it well in a market increasingly focused on efficiency and sustainability. The timing is crucial as enterprises seek to control cloud spend without sacrificing agility or performance. By embedding automation at the infrastructure layer, CAST AI influences the broader ecosystem by enabling FinOps teams and cloud engineers to operationalize cost savings continuously, thus accelerating cloud adoption and innovation[3][5][7].

Quick Take & Future Outlook

CAST AI is poised to expand its leadership in Kubernetes automation by deepening AI-driven optimization capabilities, especially for GPU and AI workloads, which are rapidly growing in importance. Future trends shaping its journey include increased demand for multi-cloud cost arbitrage, AI workload efficiency, and automated security compliance. As cloud environments grow more complex, CAST AI’s platform is likely to become a foundational tool for enterprises aiming to maximize cloud ROI while maintaining performance and reliability. Its influence will likely grow as it sets new standards for automated cloud infrastructure management, helping businesses scale smarter and more cost-effectively[5][7].

In summary, CAST AI transforms cloud infrastructure management by combining automation, AI, and Kubernetes expertise to deliver substantial cost savings and operational efficiency, making it a pivotal player in the evolving cloud-native ecosystem.

Sources

Frequently Asked Questions

How much funding has CAST AI raised?

CAST AI has raised $175.0M in total across 4 funding rounds.

Who are CAST AI's investors?

CAST AI's investors include 42CAP, 468 Capital, Begin Capital, Cota Capital, Creandum, HOF Capital, LEA Partners, Scale Asia Ventures, Vintage Investment Partners, Ben Uretsky, Chris Murphy, Mario Götze.