The Challenges of Managing Costs in a Multi-Cloud World

Multi-cloud environments make cost visibility and accountability hard. Teams spend too much time reconciling data and not enough time controlling costs.

Fragmented Cost Data

Each cloud and service reports costs differently, forcing teams to manually reconcile data across tools and spreadsheets.

No Single Source of Truth

Without unified visibility, teams cannot confidently understand spend, compare usage, or take ownership of costs.

Shared Resources and Missing Tags

Incomplete tagging and shared infrastructure make accurate cost allocation and chargeback unreliable.

Kubernetes Cost Blind Spots

Dynamic Kubernetes workloads hide real costs, making attribution, forecasting, and control difficult.

Cloudchipr Turns Cost Chaos into Clarity

Cloudchipr delivers end-to-end visibility and intelligence that FinOps and Engineering teams can trust.

All Costs in One View

Unify AWS, Azure, GCP, Kubernetes, and 25 additional data sources into a single view. Identify cost drivers faster, use dynamic filters, reduce reconciliation time, and make value-based decisions with confidence.

Clear Cost Insights with AI

AI Copilot turns complex billing data into clear, actionable insights. Understand why costs changed, spot trends, detect anomalies, and apply optimization recommendations immediately.

No More Hidden Kubernetes Costs

View Kubernetes spend at the cluster, namespace, and pod level. Quickly identify inefficiencies, optimize workloads, and keep Kubernetes costs under control.

Catch Cost Anomalies Early

Continuously monitor spending patterns and receive real-time alerts for unusual activity. Resolve cost spikes before they impact budgets.

Flexible Cost Allocation

Allocate costs across teams, business units, or customers using flexible dimensions from even splits to custom weighting. Enrich billing data by connecting uploaded telemetry metrics.

Automated Cost Reporting

Receive AI-explained cost reports via Slack or email on your schedule. Keep teams aligned, informed, and accountable without manual reporting.

Why Teams Trust Cloudchipr

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

Enterprise-grade security

Cloudchipr meets enterprise-grade security compliance requirements to ensure the confidentiality, integrity, and availability of your data.

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

Take full control of your Cloud and AI costs

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