The cloud as it was promised to be
fast, reliable & cost-efficient.
Our story (so far)
We started CAST AI out of personal frustration. We had just sold our previous startup (Zenedge, acquired by Oracle in 2018), and one of the aspects of that business was the massive growth of our cloud bill.
We couldn’t stop thinking, “There must be a way to fix this once and for all!” So, we decided to build a platform that would allow companies to automatically optimize and reduce their cloud costs, without any manual intervention. And that’s how CAST AI was born. We built the platform for every cloud-native company out there.
Leon, Laurent, and Yuri
Co-Founders of CAST AI
CAST AI manages your cloud resources automatically. No upfront payments or manual tracking and fiddling.
Distinct instance types
VP of Customer Success
Our core values
A brighter future of cloud computing is only one the missions driving our team forward. These are the core values that hold us all together.
Develop the best
Be curious and improve continuously to foster personal development and professional growth.
Take ownership, never kick the can, and drive things forward on a full-power mode. The company is in your hands.
Be open minded
Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect.
The customer always, always, always comes first. Solve the customer’s problem, be open to feedback, act on it, and the rest will follow.
CAST AI in the media
“CAST AI is one of the few vendors to view and automatically reduce cloud costs, adding that it has the ability to optimize cloud-native apps across providers such as Amazon Web Services, Google Cloud, and Microsoft Azure.”
“CAST AI uses artificial intelligence to identify which compute resources are needed for specific Kubernetes workloads and automatically selects the best combinations, configuring CPUs and memory to prevent over-provisioning. It continuously adds or removes resources as needed, ensuring customers aren’t overspending without compromising workload availability or performance.”
“Independent analyst Clive Longbottom told us that a monitoring and automated management system such as CAST AI makes a great deal of sense.”
“CAST AI relies on machine learning algorithms to make sure requested and provisioned CPUs remain synchronized over time to minimize overprovisioning.”
“CAST AI is a good product because it offers features that aren’t available in most node autoscalers on the market. I think its autoscaling capabilities can make a real difference to an e-commerce company.”
“CAST AI takes advantage of cloud-native technologies, containerization and Kubernetes to break the proprietary barriers that exist between clouds.”
“The good thing about using AI in cloud automation is that it can make decisions based on somewhat correlated variables with a limited amount of information.”
“CAST AI has a right product at the right time, as organizations begin to weigh the cost of public cloud and look for ways to optimize their cloud spending budgets. ”
“The first step in getting value from CAST AI’s solution is a detailed analysis of resource utilization which is followed by completely automated processes for optimization and, ensuring that the environment stays optimized.”
“To ensure that the adoption of cloud is not an ever-increasing cost, new processes and operating procedures are needed to work with the new tools. Omdia believes that solutions like CAST AI represent the sort of approach organizations need to adopt.”
Backed by world-class investors
In podcasts & more
Our co-founders and employees are common guests on industry podcasts.
Always keen to share their knowledge with the community.
Join the CAST AI team
Excited to use your unique set of skills to transform the cloud industry? Find your next big role at CAST AI.
You can also follow our journey on LinkedIn.
CAST AI Group Inc.
111 NE 1st Street, 8th Floor #1041, Miami, FL 33132
CAST AI Israel
Modern Midtown tower
Menachem Begin 144, Tel Aviv, Israel
CAST AI Baltic UAB
Lvivo g. 37, 3rd Floor, LT-09306 Vilnius, Lithuania