Stop Scripting Infrastructure. Start Shipping.
Your team burns weeks per quarter on DevOps grunt work—cost reports, deployments, incident triage. You know AI agents should automate this, but your CISO won't approve anything that uploads credentials to the cloud. CloudShip runs agents locally on your infrastructure while teams collaborate through our managed interface.
Your Team Is Stuck in Manual Mode
Every quarter: same cost attribution report. Same deployment checklists. Same incident post-mortems. Your engineers are spending 20-30% of their time on operational toil that should be automated.
Where Your Engineers' Time Goes
Quarterly Cost Reports
40+ hours exporting CSVs, building spreadsheets
Manual Deployments
Checklists, Slack approvals, holding your breath
Incident Response
Hours correlating logs, checking deployments, guessing
Security Scanning
Manual CVE reviews, prioritization spreadsheets
Every quarter: same cost attribution report. Same deployment checklists. Same incident post-mortems. Your engineers are spending 20-30% of their time on operational toil that should be automated.
You've looked at AI agent platforms. They all want your AWS credentials in their cloud. Your CISO says no. So your team keeps scripting everything manually with Cursor and Claude—one-off solutions that break, aren't versioned, and only the author understands.
Meanwhile, your competitors are running leaner. They've automated this work. Their 5-person team does what your 15-person team does.
Linear Scaling Is Killing You
Right now, you're scaling linearly. Double the customers, double the infrastructure complexity, double the DevOps headcount. Your budget projections assume 3-5 new DevOps engineers for every 10X growth.
| Your Competitors | Your Team |
|---|---|
| AI automates cost reports | Manual CSV exports |
| Autonomous deployments | Manual checklists |
| Auto incident correlation | Engineers debugging at 2am |
| 5 engineers → $10M ARR | 15 engineers → $10M ARR |
| 70% less overhead | Linear scaling |
Right now, you're scaling linearly. Double the customers, double the infrastructure complexity, double the DevOps headcount. Your budget projections assume 3-5 new DevOps engineers for every 10X growth.
Companies that adopt AI agents for infrastructure automation are running 60-70% leaner. They're reinvesting those savings into product. They're moving faster because they're not bottlenecked on manual ops.
The math: Your 15-person DevOps team costs $3M+/year. Competitors running with 5 people are saving $2M annually while shipping faster.
AI Agents That Your CISO Will Actually Approve
CloudShip Station runs in your infrastructure. Deploy it with Docker/Kubernetes. Your credentials never leave your environment. Open-source runtime means your team can audit every agent, prompt, and tool. Your CISO says yes.
Your Infrastructure
CloudShip Station (OSS)
Deploy with Docker/K8s
All Credentials Local
AWS, GCP, Azure, GitHub
Agents Execute Here
Version controlled, auditable
Secure connection
CloudShip Platform
Team Collaboration UI
Build & manage agents
No Credentials Here
Only metadata & results
CloudShip Station runs in your infrastructure. Deploy it with Docker/Kubernetes. Your credentials never leave your environment. Open-source runtime means your team can audit every agent, prompt, and tool. Your CISO says yes.
Deploy in Your VPC
Docker/Kubernetes deployment. Runs alongside your existing infrastructure. Scales with your workload.
Open-Source & Auditable
Your team can read every line of code. Audit agent prompts. Review tool permissions. Security team approves in days, not months.
Version Control Everything
Agents are code. Git workflow. PR reviews. Testing. Rollback. The DevOps experience your team expects.
Runtime on GitHub. Deploy today, start automating tomorrow.
Stop Scripting, Start Automating
These are the workflows teams automate with CloudShip in their first month:
FinOps Cost Attribution
Automatically tag resources with customer IDs, analyze spend by customer/feature, identify waste. 40+ hours quarterly → 5 minutes.
aws-finops-agent
Deployment Automation
Autonomous canary deployments with automatic rollback. Test in staging, deploy to prod, monitor metrics, rollback on errors.
deploy-agent
Incident Root Cause Analysis
Correlate logs, deployments, and metrics. Generate hypothesis, investigate automatically, post to Slack with context.
incident-agent
Security Vulnerability Triage
Scan for CVEs, prioritize by exploitability and exposure, create Jira tickets with fix recommendations automatically.
security-scan-agent
Deploy pre-built agent templates from our registry or build custom workflows for your specific infrastructure. Your agents, your infrastructure, your rules.
From Isolated Scripts to Connected Intelligence
Right now your team has: a Python script for costs, a Bash script for deployments, a manual runbook for incidents. Each one is isolated. Nobody knows what's happening until something breaks.
CloudShip Platform connects all your agents. They share context automatically. When a deployment fails, the incident agent knows what changed. When costs spike, it correlates with recent deploys. This is what platform means.
Example: Production cost spike
Your AWS bill jumps 40%. Traditional tools: "here's a dashboard." CloudShip: correlates the spike with last week's deployment, identifies which service, which customer, and suggests optimization—automatically.
Stop building point solutions. Build a platform where every new agent multiplies the value of existing ones.
Ship Your First Agent This Week
Quick Start:
Stop Building Scripts. Start Building Platform.
Deploy agents your CISO will approve. Automate work your team hates. Scale without linear headcount growth.