Visibility breaks first
Resources spread across accounts, services, and partially managed stacks. Teams lose a clean picture of what exists, what is exposed, and what is drifting.
Allifyy
Private AI cloud control
Private AI for real cloud operations
Allifyy is a private AI cloud manager for teams that need full visibility, Terraform control, policy enforcement, and cost-aware decision-making across modern cloud infrastructure.
Why teams need this
Resources spread across accounts, services, and partially managed stacks. Teams lose a clean picture of what exists, what is exposed, and what is drifting.
Security, cost, and operations decisions end up scattered across dashboards, spreadsheets, tickets, and individual memory.
Teams want faster execution, but not at the cost of leaking infrastructure context or letting unreviewed changes reach production.
Products
Discover resources across compute, storage, identity, networking, and supporting services. Understand what is managed, what is exposed, and what needs attention before the next change is proposed.
Generate secure Terraform from intent, enhance existing IaC, or adopt live unmanaged resources into a structured workspace that can be validated and reviewed.
How it works
Collect cloud inventory and build a live model of what exists and who owns it.
Translate infrastructure data into prioritized security, cost, and governance decisions.
Turn recommendations into Terraform projects or bring live resources under code control.
Run Terraform validation, planning, AI review, and policy scans in one loop.
Keep the final apply under human control using reviewed and durable infrastructure artifacts.
Enquire now
Share a little context about your cloud footprint, current tooling, or the problem you want to solve. The form goes straight to our inbox so we can reply with a focused walkthrough instead of a generic follow-up.
Deployment path
The marketing site can live on a lightweight static AWS stack while the actual Allifyy reasoning layer later runs locally or inside customer-controlled AWS.
Trust model
Infrastructure context stays where you intend it to stay.
Generated artifacts are tracked instead of treated as implicit truth.
Policy checks hold the line when automation gets ambitious.
The last decision before change still belongs to the operator.