
Guided Multi-Cloud Design & Automation Platform
The CORR Cloud Architect interviews your stakeholders, translates business requirements into provider-specific architectures, estimates costs, and generates governed Infrastructure as Code — across AWS, Azure, and Google Cloud.
Enter SystemGoing from a business idea to deployed cloud architecture is slow, expensive, and risky. Requirements live in spreadsheets, architectures are drawn by hand, cost is guessed at month-end, and Terraform is written free-form by AI with no guardrails. Teams without a cloud architect pick the wrong services, miss compliance controls, and ship infrastructure that isn't auditable — every team reinvents the same mistakes, and there's no single source of truth for what's been built.
Cloud-Corr runs a structured nine-step interview that captures business, technical, security, and operational needs in plain language — no cloud expertise required. It generates a visual architecture, itemized cost estimate, and governed Infrastructure as Code (Terraform + Ansible + CI/CD) built from approved module templates — never free-form AI code. Policy-as-code enforces SOC 2, HIPAA, PCI, and more before any resource is created, and every design is stored in a versioned architecture registry.
A structured requirements conversation captures business, technical, security, and operational needs — no cloud expertise required from the customer.
Auto-generated SVG topology showing VPCs, subnets, availability zones, load balancers, compute, and data layers — updated live as you answer.
Answer business questions; we map to the right provider services — RDS, Azure SQL, Cloud SQL — automatically across AWS, Azure, and GCP.
Itemized monthly and annual cost breakdowns by resource category, with provider-specific pricing generated alongside every architecture.
Terraform / OpenTofu for infrastructure, Ansible for configuration, and CI/CD pipelines — built from approved module templates, never free-form AI code.
SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, FedRAMP, and NIST frameworks mapped to guardrails enforced before any resource is created.
Monitoring, logging destinations, patch schedules, backup policies, non-prod shutdown, and configuration drift detection — all defined up-front.
A staged pipeline — design review, Terraform plan, security scans, human approval, provision, configure, verify — with live status and rollback.
Every design is stored, versioned, and searchable — your organization's single source of truth for cloud architectures across all teams.
The guided interview captures plain-language business requirements and maps them to the correct provider services. Any team can design a production-grade architecture — not just certified cloud architects.
Infrastructure as Code is generated from approved module templates with policy-as-code guardrails, so every deployment is predictable, auditable, and secure — no free-form AI guesswork.
Compliance frameworks are part of the interview. Every architecture inherits the controls that match its data sensitivity — SOC 2, HIPAA, PCI, GDPR, and more — enforced before resources are created.
One conversation maps the same requirements to AWS, Azure, or Google Cloud — or a combination. You stay multi-cloud by design, never locked to a single provider.
Itemized cost estimates accompany every architecture before a single resource is provisioned, so leadership knows the monthly and annual spend in advance.
Open a project and answer nine plain-language steps — project info, platform, workload, network, compute, data, security, operations, and review.
Cloud-Corr generates a visual topology and an itemized cost estimate, then runs an automated risk analysis for security, availability, and configuration gaps.
Terraform, Ansible, and a CI/CD pipeline are generated from approved templates with policy-as-code guardrails. The staged approval workflow requires human sign-off before deploy.
Provision, configure, and verify through the pipeline with live status and rollback. Every design is stored, versioned, and searchable in the architecture registry.
No. The guided nine-step interview captures business, technical, security, and operational needs in plain language. Cloud-Corr maps your answers to the correct provider services across AWS, Azure, and Google Cloud.
AWS, Azure, and Google Cloud — individually, multi-cloud, or hybrid with on-prem. The same requirements map to the correct native service on whichever provider you choose.
Cloud-Corr generates Terraform / OpenTofu, Ansible playbooks, and CI/CD pipelines from approved module templates — never free-form AI output. Deployments are predictable, auditable, and secure.
SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, FedRAMP, NIST 800-53, and CIS Benchmarks are mapped to policy-as-code guardrails enforced before any resource is created.
Yes. Every architecture comes with an itemized monthly and annual cost breakdown by resource category, with provider-specific pricing — before you provision anything.
Yes. The pipeline runs design review, Terraform plan, security scans, human approval, provision, configure, and verify — with live status and rollback.