Cast AI raises $108M to get the most out of AI, Kubernetes and other workloads

Tech Crunch - Apr 30th, 2025

Cast AI, a startup focused on optimizing AI workloads, has raised $108 million in a Series C funding round, valuing the company close to $900 million. The funding will be used for research and development and expanding its business in key markets like the U.S. Key investors include G2 Venture Partners, SoftBank Vision Fund 2, and Aglaé Ventures. Cast AI's technology is leveraged by major companies like Akamai, BMW, and FICO to optimize cloud and on-premise capacity. The company is partnering with industry giants like OpenAI and Crusoe Energy, highlighting its critical role in AI infrastructure.

Founded in 2019 by Yuri Frayman, Leon Kuperman, and Laurent Gil, Cast AI emerged from the founders' experiences in managing cloud costs at their previous startup, Zenedge. The company, though based in Miami, does much of its development in Europe. With the rise of AI, Cast AI's focus on cloud efficiency is increasingly significant as companies face processor shortages. Their integration with all major cloud providers positions them as a strategic partner in the AI ecosystem, working with SoftBank and others on projects like the Stargate AI infrastructure in the U.S.

Open Ai Series C Funding Ai Infrastructure Ai Workloads Cast Ai Yuri Frayman G2 Venture Partners Soft Bank Vision Fund Cloud Optimization Crusoe Energy

Story submitted by Fairstory

RATING

7.0

Fair Story

Consider it well-founded

The article provides a comprehensive overview of Cast AI's recent funding round and business operations, with a focus on its growth and partnerships. It is timely and relevant to current industry trends, offering insights into the challenges of AI resource management. However, the reliance on unnamed sources and a lack of diverse perspectives slightly diminish its overall accuracy and balance. The article is well-written and accessible, making complex topics understandable, but it could benefit from more detailed explanations and independent verification of some claims. Overall, it serves as an informative piece for industry professionals, though its impact on a broader audience is limited.

Accuracy

The article is largely accurate in its presentation of facts, such as the amount of funding raised by Cast AI and the valuation post-money. These claims are supported by the information provided, such as the $108 million Series C funding and the near $900 million valuation. However, certain claims, like the exact number of customers and the specific partnerships with companies like Crusoe Energy and SoftBank, would benefit from additional verification through official statements or reports. The story cites sources familiar with the deal, which adds a layer of credibility, but these sources are not named, which slightly reduces the precision and verifiability of the information.

Balance

The article provides a balanced view of Cast AI's business operations and growth trajectory. It highlights the company's achievements and partnerships while also mentioning the competitive landscape and challenges faced by organizations in AI resource allocation. However, the article leans more towards a positive portrayal of Cast AI, focusing on its successes and potential without much critique or exploration of potential downsides or challenges. Including perspectives from industry analysts or competitors could have provided a more rounded view.

Clarity

The article is generally clear and well-structured, with a logical flow that guides the reader through Cast AI's funding news and business operations. The language is straightforward and accessible, making the complex topic of AI resource optimization understandable to a broad audience. However, the inclusion of more technical details about the company's technology and specific use cases could enhance comprehension for readers unfamiliar with AI infrastructure.

Source quality

The article relies on information from unnamed sources and statements from Cast AI's CEO, Yuri Frayman. While Frayman is a credible source for insights into the company's operations, the lack of diverse sources or third-party verification slightly diminishes the overall reliability. The inclusion of comments from investment partners like SoftBank adds credibility, but more independent sources could enhance the article's authority and impartiality.

Transparency

The article provides some transparency by citing its sources, such as the CEO and investment partners. However, it lacks detailed explanations of how certain claims, like the customer base size or the efficiency statistics, were derived. The story could benefit from more context about the methodology behind these claims or any potential conflicts of interest, particularly regarding the company's partnerships and investors.