Beta — Free to use · Zero data stored

Your cloud expert,
always available.

Ask anything about AWS, Azure, GCP, Terraform, Kubernetes, Linux or CI/CD — get production-ready answers instantly.

Fix S3 AccessDenied

Terraform auto-scaling

Architecture diagram

Debug CrashLoopBackOff

Cut cloud costs

GitHub Actions CI/CD

Beta — Free to use

Built to solve a problem
we lived every day.

CloudevAI was built because cloud debugging and architecture decisions are slow, complex and expensive. As cloud engineers, we kept seeing the same problems — teams spending hours diagnosing incidents, costs rising without visibility, and general AI tools giving confident but wrong answers to production questions. So we built something different. An AI that thinks like a senior engineer — not a search engine.

☁️ AWS · Azure · GCP 🏗️ Architecture analysis ⚙️ Terraform & IaC 🔒 Zero data stored 📎 Upload PDFs & screenshots

Your Data — How We Handle It

🔒

CloudevAI stores zero data

Nothing you type, upload or share is ever saved by CloudevAI. No database. No logs. No history stored on our servers.

⚡

Processed via Anthropic API — not stored

Your questions and files are processed by Anthropic's Claude API. Anthropic does not train on API data by policy. Data passes through — it is not retained.

⚠️

Never share credentials or API keys

Do not paste AWS credentials, API keys or passwords into CloudevAI or any chat tool. The tool will alert you if it detects sensitive data.

CloudevAI vs General AI — Same Question

Question asked: "My S3 bucket is giving 403 errors"

ChatGPT / General AI

"There are several possible causes for an S3 403 error. Here are some things to check:

1. Check your bucket policy
2. Verify IAM permissions
3. Check if public access is blocked
4. Verify your credentials
5. Check the object ACL..."

❌ 5 equal possibilities — no diagnosis
❌ No confidence — engineer still guessing
❌ No commands — manual search required

CloudevAI

Most Likely (75%): Missing s3:GetObject in bucket policy — not IAM

🚨 Fix in 90 seconds:
aws s3api get-bucket-policy

💡 403 from S3 = permission evaluated and DENIED. Check bucket policy before IAM — it is evaluated first.

✅ Immediate diagnosis with confidence %
✅ Copy-ready command in 90 seconds
✅ Explains WHY — not just what

The Problem We Solve

Cloud engineering does not suffer from a lack of answers. It suffers from too many — and no reliable way to know which one is right under pressure.

—Engineers waste hours validating generic AI answers before executing on live systems

—Sensitive infrastructure data is being pasted into public AI tools without security awareness

—General AI tools give confident answers to cloud questions without production-safe context

What Makes CloudevAI Different

🎯

Confidence Scoring

Every diagnosis includes root cause confidence — Most Likely 70%, Possible 20%, Low 10%. Engineers act with certainty, not guesswork.

🚨

2-Minute Emergency Plan

For production incidents, the first output is always the 3 most critical checks — not a 5-phase investigation. Speed matters at 2am.

🌳

Decision Tree Logic

IF Redis evictions > 0 → increase memory. ELSE → check DB slow queries. Not checklists — actual diagnostic reasoning.

🔒

Security by Default

Credential exposure alerts, security risk scoring and safe usage guidance built into the foundation — not added as an afterthought.

📎

Upload & Analyze

Upload architecture PDFs, AWS console screenshots or error logs. Get instant specific analysis — not generic assumptions.

⚡

Instant Assumption Mode

Even with zero data provided — delivers immediate value based on typical patterns. Then refines with your specific details.

The Opportunity

$1T+

Global cloud infrastructure market in 2026

35M+

Cloud engineers and DevOps professionals globally

30min

Average time saved per engineer per incident

What Is Coming Next

📚

Live documentation retrieval

Answers sourced directly from official AWS, Azure and GCP documentation in real time — always current, always verified, never outdated.

🏢

Team and enterprise features

Built for teams that need private deployment, compliance controls and deep workflow integration. Currently in planning.

Built By

Anirudh

AWS Cloud Platform Engineer · 11 Years · Brisbane, Australia

— Started as a System Administrator in India in 2012. Grew through every layer of cloud infrastructure — from bare metal to Kubernetes, from on-premise to multi-cloud.

— Worked across hundreds of production incidents. Seen teams waste hours on problems that should take minutes. Watched engineers paste sensitive data into public AI tools under pressure.

— After 11 years — still could not find a tool that gave the right answer with confidence when it actually mattered. Not a generic answer. Not a checklist. A diagnosis.

— So I built it. CloudevAI is the tool I always needed at 2am. Built from real engineering experience — not from research or assumption.

11+

Years cloud engineering

3

Cloud platforms — AWS Azure GCP

100s

Production incidents resolved

"Engineers do not need more answers. They need the right one — the first time, under pressure, when it actually matters. That is the only problem CloudevAI exists to solve."

Currently in Beta — Free to use

Every question asked improves the tool. Every piece of feedback shapes what gets built next. If you are an investor or founder interested in this space — reach out.

Try it now — it is free

⚠ CloudevAI is an independent tool currently in beta. Not affiliated with, endorsed by or officially connected to Amazon Web Services, Microsoft Azure or Google Cloud Platform. All guidance is for educational and informational purposes only. Always verify recommendations with official documentation and test in non-production environments before applying to live systems. The founder accepts no liability for decisions made based on outputs from this tool.

Your cloud expert,always available.

Your cloud expert,
always available.