Allifyy logo mark Allifyy Private AI cloud control

Private AI for real cloud operations

See the cloud clearly. Improve it safely. Keep the reasoning inside your boundary.

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.

Allifyy console showing cloud inventory, findings, Terraform review, and approval flow
Cloud visibility Terraform adoption Cost optimization Policy governance Private inference Human approval

Why teams need this

Cloud environments get harder to understand long before they get easier to automate.

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.

Manual review does not scale

Security, cost, and operations decisions end up scattered across dashboards, spreadsheets, tickets, and individual memory.

Automation needs control

Teams want faster execution, but not at the cost of leaking infrastructure context or letting unreviewed changes reach production.

Products

Allifyy is built as a product suite, not a single helper feature.

Cloud Graph

A current, readable picture of the estate.

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.

  • Live inventory and ownership awareness
  • Managed vs unmanaged infrastructure visibility
  • Shared current truth for teams and automation
Allifyy cloud graph view showing resources, posture, and Terraform coverage
Allifyy product suite showing cloud graph, AI analysis, Terraform control, and policy gate
Allifyy Terraform adoption and approval workflow
Terraform Control

Bring cloud changes under code and approval.

Generate secure Terraform from intent, enhance existing IaC, or adopt live unmanaged resources into a structured workspace that can be validated and reviewed.

  • Prompt-driven Terraform generation
  • Live adoption workflows for existing resources
  • Reviewed artifacts instead of fragile working directories
AI Analyst

Explain cost, security, and governance in business-ready language.

Policy Gate

Run deterministic OPA checks before any change is approved.

Private Runtime

Keep infrastructure reasoning local or customer-hosted for stronger trust.

How it works

A practical loop from discovery to human-approved execution.

01

Discover the estate

Collect cloud inventory and build a live model of what exists and who owns it.

02

Explain what matters

Translate infrastructure data into prioritized security, cost, and governance decisions.

03

Generate or adopt code

Turn recommendations into Terraform projects or bring live resources under code control.

04

Validate and review

Run Terraform validation, planning, AI review, and policy scans in one loop.

05

Approve deliberately

Keep the final apply under human control using reviewed and durable infrastructure artifacts.

Enquire now

Request a quick Allifyy demo and we will get back to you directly.

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.

Private cloud visibility walkthrough Terraform adoption and governance overview Security and cost optimization discussion

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Deployment path

A public site that stays inexpensive, while the intelligence layer stays private.

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.

Route 53 CloudFront S3
  • S3 static hosting: simple and inexpensive origin storage
  • CloudFront: HTTPS delivery and caching
  • ACM: certificate at no additional charge
  • Budget: comfortably inside a `$10` monthly target for low traffic

Trust model

Private inference, current truth, policy before apply, and real human approval.

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.