LTIMindtree announces a strategic collaboration with CAST AI, a
leading SaaS company that specializes in automated cost optimization for
customers who run their cloud-native applications on Google Cloud, AWS, and
Microsoft Azure. The partnership will help companies save, on average, over 60
percent on cloud costs as they modernize legacy applications for cloud
migration.
This collaboration brings together LTIMindtree’s Infinity platform, with CAST
AI’s cloud cost optimization platform to provide enterprises with a complete
view of their cloud portfolio. This combined offering will empower
organizations to optimize Kubernetes management and costs in a single or
multi-cloud environments, without any manual intervention. It will also help
free up the customers’ time from routine tasks by automating 100% of their
cloud-native infrastructure, resulting in increased stability and reduced costs.
"We’re thrilled to partner with LTIMindtree, a world leader in helping
organizations navigate the digital transformation journey,” said Yuri Frayman, CEO and Co-founder,
CAST AI. “Our speciality at
CAST AI revolves around cloud cost optimization. Google Cloud Platform alone
has some hundreds of virtual machines on offer. The manual effort of configuring
resources, picking virtual machines, and setting auto-scaling policies is
overwhelming. And frankly, it costs more than its optimization impact. We
automate the entire process, reducing your cloud costs in real-time.”
“This partnership with CAST AI has enabled us to offer discrete services to our
customers aligned with their business goals and objectives. Through this
collaboration, we are assisting our customers in deriving value from their
cloud investments through enhanced end-to-end observability & cost
optimization, along with freeing up their budget for modernization,” said Nachiket Deshpande, Whole-Time
Director, and Chief Operating Officer, LTIMindtree.
The collaboration will strengthen the value proposition and help the
organizations align their cloud usage strategies and achieve continuous cost
savings.
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