LTIMindtree has formed a strategic partnership with CAST AI, a well-known SaaS business that specializes in automatic cost optimization for clients using Google Cloud, AWS, and Microsoft Azure to host their cloud-native apps. As they update older applications for cloud migration, the alliance will assist businesses in saving, on average, over 60% on cloud costs.
Through this partnership, businesses will have a holistic perspective of their cloud portfolio thanks to the integration of the Infinity platform from LTIMindtree and the cloud cost optimization platform from CAST AI. With the help of this unified service, businesses will be able to automate Kubernetes management and cost optimization in single- or multi-cloud scenarios. Additionally, fully automating the customers’ cloud-native infrastructure, will boost stability and lower expenses while freeing up the customers’ time from repetitive duties.
LTIMindtree (formerly Larsen & Toubro Infotech Ltd) is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.
CAST AI is an all-in-one cloud-native automation platform that reduces customer cloud bills by over 60% on average. Powered by AI, CAST AI provides cloud cost automation for real-life containerized applications running on AWS, GCP, and Azure. CAST AI’s founders are serial entrepreneurs who have been developing advanced AI solutions for over a decade and have successfully led previous startups to acquisitions by Google, Comcast, and Oracle. The company has raised USD 38 million from investors including Creandum, Cota Capital, and Uncorrelated Ventures.
Yesterday, the scrip closed at Rs 5125.05. Today it opened at Rs 5149.95 and currently, it is trading at Rs 5144.90, up by 0.39%. It has a 52-week high at Rs 5425 and it has a 52-week low of Rs 4120. The BSE group ‘A’ stock has a market capitalization of around Rs 1,52,250 crore.
Disclaimer: This blog has been written exclusively for educational purposes. The securities mentioned are only examples and not recommendations. It is based on several secondary sources on the internet, and is subject to changes. Please consult an expert before making related decisions.
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