Find your cloud savings in under 5 minutes
Get a $100 reward on signup
AI Cost Visibility That Speaks Every Team's Language
Skip the hassle of switching between each vendor’s dashboard. CloudKeeper Lens AI brings role-specific cost insights into one platform for every stakeholder.
Layer
Challenge
What’s going wrong
AI Inference
The token blind spot
Your API bills show a total, but not which model, app, or team drove it, or what you really paid after caching and retries.
AI Infrastructure
The always-on GPU
GPUs bill every hour whether they’re busy or not, and gaps in reserved coverage quietly push you onto On-Demand rates.
AI Licenses
The empty seat
You know how many AI seats you bought, but not how many people actually use them before renewal.
How does CloudKeeper Lens AI simplify AI Cost Management?
CloudKeeper Lens AI brings scattered AI costs into one view, whether billed per use, per hour, or per user.
- AI Inference - Billed per useAnalyze AI costs at the model and token level.
Compare actual model costs after caching and discounts Review token consumption across supported AI providers Identify applications contributing most to API spending
- AI Infrastructure - Billed per hourTrack GPU spending down to individual instances. Compare On-Demand and reserved GPU costs Review reserved coverage across GPU instances Analyze spending by instance family and region
- AI Licences - Billed per headMonitor subscription costs and individual user activity. Compare AI license spending across all popular tools Track seat activity to identify unused subscriptions Review AI tool adoption before subscription renewals
Track AI Costs Across All Popular Providers
With CloudKeeper Lens AI, you can track your organization's most-used AI licenses and get provider-specific cost breakdowns to better understand your spending.
Providers supported by CloudKeeper Lens AI
Available Cost Insights
Amazon Bedrock
API / Inference
Model and token-level spending
Anthropic API
API / Inference
Direct API spending
OpenAI API
API / Inference
Direct API spending
AWS GPU Compute
GPU Compute
Instance-level GPU costs
Cursor
Licenses / Seats
Seats and usage
Claude Enterprise
Licenses / Seats
Seats and usage by surface
Kiro
Licenses / Seats
Seats and adoption
Need another AI provider?
Tell us which services you use to explore additional integrations.
Where is Your AI Budget Actually Going?
Every AI rollout adds a new bill: tokens from API vendors, hours from GPU instances, seats from coding tools.
Each one is billed differently, and no single dashboard adds them up.
Each one is billed differently, and no single dashboard adds them up.
Finance"How much are we actually spending on AI?"View total AI spending across providers and see how much of your cloud bill comes from AI workloads.
FinOps"Where can we reduce unnecessary AI spending?"Identify unused AI licenses and GPU purchasing gaps while reviewing prompt caching savings.
Engineering"Which AI models are driving our costs?"Compare effective token costs across models and identify applications contributing most to API spending.
DevOps"Are our AI subscriptions being used?"Track individual license usage across AI tools and identify dormant seats before renewals.
CloudKeeper Lens AI Goes Beyond Native AI Cost Management Tools
See how CloudKeeper Lens AI addresses the limitations of existing tools and practices by providing deeper AI cost and usage insights to help you optimize your setup.
Problem
Limited inference visibility beyond Bedrock service costs, with no caller or unit cost details. Published model prices don't reflect actual costs due to caching, discounts, and retries. Rising AI spending is difficult to explain without separating usage growth from higher unit costs. AI license utilization is unclear despite knowing how many seats were purchased. GPU costs lack instance-level clarity despite continuous hourly billing. AI billing is fragmented across API vendors, cloud services, and separate invoice dates. Total AI spending remains an estimate when Finance needs a complete picture.CloudKeeper Lens AI Solution
Model and token-level cost analysis with application-wise API spending.
Effective model pricing with blended cost per million tokens after caching and tier discounts.
Unit cost trends to distinguish increased usage from cost inefficiencies.
Unified seat roster with active, idle and dormant status across AI tools.
Detailed GPU inventory with pricing terms, reserved coverage, and On-Demand exposure.
Consolidated provider costs over a common date range, reconciled with invoices.
One consolidated AI cost view showing total spend and its share of the overall cloud bill.
Easy Signup and Onboarding
Connect your AI providers without making changes to your applications.
Connect Your AI Providers
Grant read-only access to your AWS accounts and supported AI vendors. No agents or SDKs are required.
Reconcile Your AI Spending
CloudKeeper Lens AI processes usage data and checks spending against provider invoices.
Start Exploring Lens AI
View AI costs by model or account, with detailed GPU and subscription usage dashboards.
Ready to Simplify AI Cost Management?
Take control with CloudKeeper Lens AI and own AI spend across all three layers — per use, per hour, and per head.
Why choose CloudKeeper as
your Cloud Cost Optimization Partner?
15+
Years of
Cloud Expertise
20%
Average Cloud
Savings Delivered
350+
Certified Engineers
& Architects
500+
Global
Customers
Recognized by the Best in the Industry for
End-to-End Cloud Cost Optimization
Major Player in MarketScape’s Worldwide FinOps Cloud Cost Optimization Assessment.
Major Player in FinOps Cost Management Products PEAK Matrix Assessment 2025.
Notable Vendor in Magic Quadrant for Public Cloud IT Transformation Services - Midmarket Global.
Product Challenger in APAC for AWS Ecosystem Partners 2025.
Frequently Asked Questions
- Arrow1.What is CloudKeeper Lens AI? Q1. What is CloudKeeper Lens AI?
CloudKeeper Lens AI is an AI cost visibility platform. It combines inference costs with GPU infrastructure spending and AI license usage to give teams a clearer picture of their AI expenses.
- Arrow2.How is CloudKeeper Lens AI different from AWS Cost Explorer? Q2. How is CloudKeeper Lens AI different from AWS Cost Explorer?
AWS Cost Explorer provides service-level spending data. CloudKeeper Lens AI adds model-level costs and token consumption insights. It also tracks GPU spending and third-party AI subscriptions.
- Arrow3.Which AI providers does CloudKeeper Lens AI support? Q3. Which AI providers does CloudKeeper Lens AI support?
CloudKeeper Lens AI supports Amazon Bedrock and GPU compute on AWS. It also covers Anthropic API and OpenAI API spending. Supported subscription tools include Cursor, Claude Enterprise, and Kiro.
- Arrow4.Can CloudKeeper Lens AI help identify AI cost savings? Q4. Can CloudKeeper Lens AI help identify AI cost savings?
Yes. Compare effective model costs and review prompt caching savings. You can also identify gaps in GPU purchasing and unused AI licenses to find opportunities to reduce spending.
- Arrow5.Can I monitor AI inference costs at the model level? Q5. Can I monitor AI inference costs at the model level?
Yes. CloudKeeper Lens AI tracks inference costs by model and token usage. It also shows effective cost per million tokens to help compare model spending.
Certified. Trusted. Industry Recognized.
