Cloud Costs You Can Actually Understand
Your engineering team is burning millions in cloud costs. You ask "which customers are profitable?" and get a spreadsheet three weeks later. CloudShip gives you real-time unit economics—cloud spend automatically attributed to customers, features, and teams—so you can make financial decisions instead of guessing.
The Questions You Can't Answer
Your board wants unit economics. Investors want to see gross margin by customer. Your CEO needs to know if that new feature is profitable. Engineering comes back three weeks later with a CSV that's already outdated.
Questions Finance Can't Answer Today
"Which customers are profitable?"
3 weeks for a manual report
"What's driving our AWS bill up 40%?"
Engineering doesn't know either
"Should we sunset this feature?"
No cost data to make the call
"Are we paying for idle resources?"
Probably, but nobody's tracking it
Your board wants unit economics. Investors want to see gross margin by customer. Your CEO needs to know if that new feature is profitable. Engineering comes back three weeks later with a CSV that's already outdated.
Meanwhile, your cloud bill keeps growing. $500K becomes $2M. Engineering says "we're scaling!" but you have no way to tie that growth to revenue. You're flying blind on one of your largest operating expenses.
The truth: Your engineering team hates making these reports as much as you hate waiting for them. They're exporting CSVs, building pivot tables, and making educated guesses.
What This Ignorance Costs You
You're not just missing reports. You're making million-dollar decisions without data. That enterprise customer paying $200K/year? You don't know if they're costing you $300K in infrastructure.
Real Scenarios We See:
The Unprofitable Customer
Enterprise client paying $200K/yr actually costs $350K in infrastructure. You renewed them for 3 years.
The Zombie Resources
$80K/month in dev environments nobody's touched in 6 months. Still running. Still charging.
The Feature Nobody Uses
ML feature serving 50 users costs $45K/month. Product wants to expand it. Finance has no data to push back.
You're not just missing reports. You're making million-dollar decisions without data. That enterprise customer paying $200K/year? You don't know if they're costing you $300K in infrastructure.
Your competitors are getting leaner. They're cutting DevOps teams by 60-70% with AI automation. They know their unit economics in real-time. They're making data-driven pricing decisions while you're waiting on spreadsheets.
When your cloud spend is 20-40% of revenue and you can't attribute it to customers, you're guessing on pricing, margin, and strategy.
Real-Time Cloud Unit Economics
CloudShip automatically correlates your cloud spend (AWS, GCP, Azure) with your revenue systems (Stripe, Salesforce). You get unit economics in real-time—no manual reports, no three-week delays, no spreadsheets.
Without CloudShip:
- → Wait 3 weeks for cost reports
- → Data is already stale
- → Can't tie costs to customers
- → Manual spreadsheets full of guesses
- → No visibility into cost drivers
With CloudShip:
- → Real-time cost attribution
- → Live dashboards, always current
- → Automatic customer-level economics
- → AI correlates costs to features/teams
- → Identify waste in minutes, not weeks
CloudShip automatically correlates your cloud spend (AWS, GCP, Azure) with your revenue systems (Stripe, Salesforce). You get unit economics in real-time—no manual reports, no three-week delays, no spreadsheets.
Automatic Attribution
AI agents tag cloud resources with customer IDs, feature tags, and team ownership. Your costs automatically map to revenue.
Real-Time Dashboards
Finance dashboard shows unit economics by customer, feature, and team. Updates live as infrastructure changes.
Identify Waste Instantly
See unused resources, oversized instances, and zombie infrastructure in minutes. AI suggests optimizations with cost impact.
Questions You Can Finally Answer
Stop guessing. Start knowing. These are the questions finance teams ask CloudShip every day:
"Which customers are profitable?"
See gross margin by customer in real-time. Know which accounts to prioritize for renewal vs. re-negotiate pricing.
"What's our unit economics per seat/transaction?"
Track how infrastructure costs scale with usage. Model pricing changes before you implement them.
"Which features are worth their infrastructure cost?"
See what each feature costs to run vs. revenue attribution. Make data-backed sunset decisions.
"Where's our $500K/month going?"
Drill down from total spend to specific teams, services, and customers. Identify cost centers instantly.
This isn't BI on stale data. It's live intelligence that updates as your infrastructure changes. Make financial decisions with confidence, not spreadsheets from three weeks ago.
Pays for Itself in Week One
Finance teams identify an average of 14-20% cloud waste in their first CloudShip analysis. That's found money, instantly visible, immediately actionable.
Example: $2M Annual Cloud Spend
Plus the strategic value: You can finally make data-driven decisions on pricing, customer profitability, and feature investments. That's worth multiples of the cost savings alone.
Security That Finance Actually Cares About
Most AI tools want your AWS credentials in their cloud. Your CISO blocks them. CloudShip is different: our open-source runtime deploys in your infrastructure. Credentials never leave your environment.
Why this matters to finance:
You get cost visibility without waiting months for security approval. Engineering can deploy CloudShip in a day. Your CISO is happy because credentials stay internal. You get your dashboards immediately.
Stop Guessing. Start Knowing.
See your unit economics in real-time. Identify waste in minutes. Make pricing decisions with actual data.