Visualize and AI-audit your AWS infrastructure natively on macOS

Many mid-to-large engineering and platform teams struggle to understand and govern rapidly sprawling AWS estates: accounts that once had a few services now routinely hold hundreds of resources across dozens of services, producing blind spots for security, cost and drift. The people most affected are cloud engineers, DevOps/platform teams and security analysts at the roughly 200,000 mid+ enterprises that run AWS, where manual mapping and endless console hopping drive inefficiency and risk. You could build a macOS-native application that connects read-only to AWS accounts to generate interactive topology visualizations, inventories, and AI-audited findings with prioritized remediation steps and one-click export to Terraform or CloudFormation for GitOps workflows. The product would combine local-first UX for developers with optional team sync, LLM-driven narrative audits and risk scoring so outputs are both machine-actionable and human-readable. This is a timely opportunity: we estimate a $6.0B addressable market (200,000 enterprises × $30,000 ACV), and the market score and revenue potential metrics are strong (92/100 and 88/100 respectively) because cloud sprawl, rapid LLM maturity and rising IaC adoption converge to create demand for automated mapping and exportable infrastructure. Developers increasingly expect desktop-grade tools and local privacy controls, and AI-assisted ops lowers marginal cost for readable audits and prioritized remediation. To stand out you should leverage a native macOS experience, local-first privacy and tight CLI/IDE integrations, plus reliable IaC export and deterministic diffing to win developer trust; these are defensible against pure web SaaS rivals. Key challenges are the macOS-only footprint limiting total reach, enterprise credential and compliance requirements, and a medium-competition landscape that will require demonstrable accuracy of the AI audits and clear ROI to close $30k ACV deals.