## Cloudchipr Turns AI Cost Chaos into Clarity

Cloudchipr delivers end-to-end visibility and intelligence that FinOps and Engineering teams can trust. Built for token-based billing and multi-cloud AI spend.

### See every dollar your AI burns, across every provider

One explorer for Anthropic, OpenAI, Vertex AI, Bedrock, and custom sources. Filter by model, API key, workspace, user, or any dimension.

- Automatic billing ingestion from all major AI providers
- Costs by model: GPT-4o, Claude Sonnet, Gemini, and more
- Period-over-period comparison to spot trends early

[Learn More](/content/billing-explorer/index.html)

### Allocate 100% of AI spend to the teams that generated it

AI costs land in pooled bills with no owner. Cloudchipr's Dimensions engine attributes every dollar by API key, workspace, naming convention, or custom logic.

- Rule-based allocation, even when tags are missing
- Showback and chargeback reports per team or business unit
- Track cost-per-feature as AI usage scales

[Learn More](/content/dimensions/index.html)

### Catch AI cost spikes the hour they happen

A misconfigured agent or runaway prompt loop can 10x your bill overnight. Cloudchipr alerts you the moment costs deviate from baseline.

- Real-time detection tuned to your spend patterns
- Context with every alert: which model, which team, what changed
- Push to Slack, email, or your incident workflow

[Learn More](/content/budgets-alerts/index.html)

### Turn AI cost visibility into measurable savings

Cloudchipr surfaces concrete savings opportunities and lets you act on them with no-code automation.

- Find underutilized AI resources and idle inference endpoints
- Automate cleanup of orphaned dev/staging environments
- Track and report realized savings to leadership

[Learn More](/content/savings-opportunities/index.html)

## AI costs don't work like cloud costs

Your existing FinOps tools weren't built for token-based billing, shared inference endpoints, or spend that compounds with every user request.

Unpredictable by design

Every call costs differently based on model, tokens, and output. A prompt change can double your bill overnight.

Shared, unattributed, invisible

Costs land in pooled API bills. Nobody knows which team or feature is driving spend.

Scattered across providers

Anthropic for one product, OpenAI for another, Vertex for internal tools. Each with its own billing console and blind spots.

No owner, no accountability

Engineering picks the models, product drives usage, but nobody owns the bill. Everyone's problem, nobody's responsibility.

## 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

.svg)

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.

[Learn More](/content/security/index.html)

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

Connect your accounts in minutes and start saving with Cloudchipr. No credit card required.