Press release

CAST AI Celebrates Record-Breaking Recognition on G2 in 2024

CAST AI, the leading Kubernetes automation platform, is proud to announce a stellar year of achievements on G2, the renowned peer-to-peer review platform. With a total of 24 badges awarded in 2024, CAST AI continues to solidify its position as a trusted partner in cloud cost optimization and Kubernetes automation.

Among this year’s highlights:

  • Leader in Cloud Cost Management: CAST AI was recognized as a Leader in this category, with a remarkable 97% score in ease of doing business with, reflecting the trust and satisfaction of its customers.
  • Momentum Leader: The company achieved a 96% score in Review Growth, cementing its position as one of the fastest-growing solutions in the cloud cost management space.
  • High Performer: CAST AI earned a 99% score in quality of support, underscoring its commitment to delivering unparalleled service and technical expertise to its users.

These recognitions are a testament to CAST AI’s dedication to empowering businesses with a platform that drives efficiency, scalability, and cost savings in their Kubernetes operations.

“Being acknowledged by G2, particularly by our customers, is a true honor,” said Laurent Gil, Co-founder and Chief Product Officer at CAST AI. “These recognitions affirm that CAST AI is not just meeting the needs of cloud-native teams but exceeding expectations in innovation, ease of use, and customer support. We’re excited to continue delivering game-changing solutions to our customers worldwide.”

G2’s rankings are determined by genuine user reviews, reflecting the real-world experiences of customers leveraging CAST AI to unlock the full potential of their Kubernetes environments.

Learn more about what our customers have to say about CAST AI on G2: https://www.g2.com/products/cast-ai/reviews

About Cast AI

Cast AI is the leading Application Performance Automation platform. Unlike traditional solutions that merely monitor clusters and provide recommendations, Cast AI leverages advanced machine learning algorithms to continuously analyze and automatically optimize clusters in real-time, cutting cloud costs, improving application performance, and boosting DevOps efficiency.


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