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ArchGenie
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AI cloud architect for AWS, Azure, and GCP, generating diagrams, code, and cost analysis.

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Product memo

Developers and teams building on AWS, Azure, or GCP use ArchGenie to automate cloud architecture design. It takes descriptions or sketches and produces validated infrastructure code, security grades, cost estimates, and documentation. This approach shortens cloud deployment and reduces complexity by bundling several tasks into one AI-driven workflow.

For who

Developers & teams building on AWS, Azure, GCP

Solves what

Automated cloud architecture design, code generation, security, and cost analysis.

  • AI-driven architecture design
  • Validated infrastructure code
  • Automated security & cost analysis

In their own words

AI Cloud Architect — describe, sketch, or upload. Diagram, code, security, cost, docs delivered.

Describe it. Design it. Ship it.

From an idea to complete cloud architecture — validated infrastructure code, security grades, cost estimates, and documentation across AWS, Azure, and GCP.

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Annual billing for Pro and Team Pro plans offers a visible discount.
  • Team Pro pools 100 credits per seat/month, scaling with team size.

Operator context

Operating setup

Founded

May 2026

Platform

Web app

Audience

Developers

Builder Strategy

Strategy Type
Ai Wrapper
Stage
Pre Revenue
Effort
Small Team
About ArchGenie Expand

ArchGenie serves developers and teams building on major cloud platforms like AWS, Azure, and GCP. It automates the entire cloud architecture design process, from initial idea to complete, validated infrastructure.

Users input descriptions or sketches, and ArchGenie generates detailed diagrams, production-ready infrastructure code, security grades, and cost estimates. This broad approach simplifies complex cloud deployments, offering a single tool for multiple critical tasks.

Its positioning as an AI Cloud Architect helps teams shorten their development cycles and maintain architectural consistency across different cloud environments.