Teams using Cloudchipr to manage cloud and AI costs see measurable results.
Customers save
$180k/mo
On average
Engineering teams save
200h/mo
On average
Over
$200m
Saved in total so far
Built for FinOps and Engineering teams
Cost data engineers can rely on
Designed for complex real-world multi-cloud environments
Enterprise-grade security and compliance
Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.
Edgar from ServiceTitan
Head of Infrastructure
Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.
Catherine from D2iQ
VP of Engineering
Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.
Davit from SuperAnnotate
Co-Founder & CTO
Cloudchipr has been a game-changer for us. Their platform helped us cut cloud costs by 60%, while their DevOps team seamlessly migrated our workload to the cloud and ensured 99.99% uptime.
Tigran from CodeSignal
CEO
Cloudchipr helped us cut our cloud costs by 40%. We set up automated workflows that continuously scanned our environment and cleaned up orphaned resources every day, saving us both time and money.
Diana from Digital.ai
Head of FinOps Engineering
Enterprise-grade security
Cloudchipr meets enterprise-grade security compliance requirements to ensure the confidentiality, integrity, and availability of your data.
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