Cloud & AI Engineering

Axiom: Enterprise Cloud Automation for AWS, Azure & GCP

Securely connect your cloud. Run real analysis. Approve safe fixes. No changes without your permission.

No obligation · Read-only by default · No changes without your approval

Foundations · CI/CD · FinOps · Observability · Security · IaC

  • ✓ Assume-role model (no stored access keys)
  • ✓ AES-256-GCM encrypted credentials
  • ✓ Explicit approval required before execution
  • ✓ Execution logs & audit trail
  • ✓ Read-only by default

Reliability (SLO-first)

We build for uptime targets and observability, not wishful thinking.

  • SLO/SLI definitions and dashboards
  • Alerting and incident response patterns
  • Runbooks and operational handover

Security & Governance

Access control, baselines, and hardening focused on real risk reduction.

  • IAM, landing zones, network segmentation
  • Compliance-ready patterns (SOC2, HIPAA)
  • Visibility and audit logging

Cost Efficiency (FinOps)

Right-sized resources, reserved capacity, and cost allocation you can act on.

  • Cost attribution and tagging strategy
  • Savings plans and committed use
  • Anomaly detection and guardrails

How we operate

Engineering principles

  • Infrastructure is code, not clicks — declarative, version-controlled, reviewable.
  • Automation over manual processes — repeatable pipelines and patterns.
  • Least-privilege by default — access scoped to what is required.
  • Observability as a first-class concern — metrics, logs, and alerts from day one.
  • Cost awareness at design time — right-sizing and lifecycle built into architecture.
  • Secure-by-design architecture — security and governance embedded, not bolted on.

Security commitment

  • Role-based access only — no shared credentials.
  • All access logged and auditable.
  • Change traceability via version control and pipelines.
  • Controlled deployments — no ad-hoc production changes.

Delivery discipline

  • Documented runbooks and escalation paths.
  • Version-controlled infrastructure — no manual drift.
  • Peer-reviewed changes where required.
  • Clear rollback procedures for every deployment path.

Production systems, not demos

We build internal assistants, automation, and extraction workflows that run safely inside your cloud.

Internal AI
Knowledge copilots
RAG
Vector search & retrieval
Automation
Workflow & classification
Extraction
Docs, forms, invoices
SOC2
Governance
Security & cost controls
AWS · Azure · GCP
Your cloud, your data

Cloud platforms

AWS
Cloud platforms
Azure
Cloud platforms
GCP
Cloud platforms
AI + IaC
Production AI · Infrastructure

Multi-cloud engineering solutions

We design, automate, and operate cloud platforms across AWS, Azure, and Google Cloud with a focus on reliability, security, and cost efficiency.

AWS

AWS Cloud Engineering

Typical outcome: 20–40% cost reduction, SLO-aligned dashboards, CI/CD from day one

Production-ready AWS infrastructure, automation, and operations for modern workloads.

  • Landing zones, networking, and security baselines
  • CI/CD with GitHub and Octopus Deploy
  • FinOps and observability for production
Explore AWS solutions
AZURE

Azure Cloud Engineering

Typical outcome: Landing zones, identity governance, repeatable pipelines

Enterprise-grade Azure platforms with governance, security, and automation built-in.

  • Azure landing zones and subscription structure
  • Networking, identity, and governance patterns
  • Automation and CI/CD for Azure-native services
Explore Azure solutions
GCP

Google Cloud Platform

Typical outcome: Project structure, VPC design, cost visibility and guardrails

Scalable GCP architectures with automation, security, and cost-control engineered in.

  • Project structure and VPC networking
  • CI/CD for containerized and serverless workloads
  • Cost visibility, monitoring, and guardrails
Explore GCP solutions

Applied AI in your cloud

Secure, scalable assistants and workflows wired into your existing infrastructure.

Packages for growing teams

Fixed-scope health checks, CI/CD setup, automation, and cost tuning.

View packages

Practical cloud security

Baselines, hardening, and visibility focused on real risk reduction.

Free Cloud & AI Review·Cloud Security

Insights from real projects

Short, practical notes on production AI, cost, and cloud engineering.

Engineering-first cloud consulting

We help teams design, automate, and operate platforms with IaC, CI/CD, and clear handover.

Proven patterns

We use established practices, not unproven trends.

Production-ready

Code and infrastructure built to run in production.

Automation

Pipelines and IaC to ship faster and safer.

Security by design

Access control and governance built in from the start.

Trusted by teams shipping production systems

Engineering-led engagements with clear outcomes and handover.

Head of Support

SaaS

The AI assistant handles 80% of our support tickets. Our team can focus on complex cases.

Frequently asked questions

Discuss your requirements

For cloud migration, cost optimization, or platform design—we work with CTOs, VP Engineering, and technical leads to define scope and delivery.

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