CLOUD COMPUTING
AI-Ready Cloud Consulting and Services
Cloud foundations built for AI, run with AI, and kept secure and cost-efficient as you grow.
We help businesses in the US and Australia migrate, modernize and operate on AWS, Microsoft Azure and Google Cloud. We build the platforms your AI workloads depend on, and we use AI to run them.
Most Clouds Weren't Built for AI. Yours Can Be.
Many companies moved to the cloud to save money and move faster. Years later, they’re dealing with sprawling accounts, rising bills and operations teams stuck firefighting alerts.
Now generative AI is raising the bar again. AI workloads need GPU capacity, clean and well-governed data, vector search and strong security around models and prompts. Most existing cloud setups weren’t designed for any of that.
The good news is that you don’t need to start over. With the right foundation, the same cloud can run your core systems and your AI, safely and at a cost you can predict.
Rising Cloud Bills
Spend grows faster than value, and nobody owns it.
Legacy Workloads
Older systems hold back modernization and AI plans.
Data Not Ready for AI
Data is scattered, ungoverned or hard to reach.
Firefighting Operations
Teams spend their time on alerts instead of improvements.
Our Cloud Services
Cloud Strategy and AI Readiness
We assess your current cloud, workloads and data, then map out what it takes to support AI. You get a prioritized, costed roadmap from our technology consulting team.
Cloud Migration and Modernization
We move applications and data to AWS, Azure or Google Cloud in planned waves, and modernize where it pays off, as part of a wider digital transformation program.
AI-Ready Landing Zones
Secure, well-governed cloud foundations with identity, networking, guardrails and GPU-ready capacity designed in from day one.
Data and AI Platforms
Data lakes, warehouses and vector databases that power analytics, retrieval-augmented generation (RAG) and our AI and generative AI solutions.
AIOps and Managed Cloud Operations
Monitoring, alerting and intelligent automation that detect issues early and resolve common problems automatically.
FinOps and Cloud Cost Optimization
Cost visibility, right-sizing, commitment planning and AI-assisted anomaly detection to keep cloud and AI spend predictable.
Not sure where to start?
In a 30-minute call we’ll review your cloud setup and tell you honestly what to fix first and where AI fits.
Practical AI, Real Workflows
How We Use AI in Cloud
AI works in two directions here. We build the cloud foundations AI depends on, and we use AI to run that cloud better. Every automated action stays within guardrails your team approves.
Where AI makes the biggest difference:
- Predictive incident detection from logs and metrics
- Automated remediation through approved runbooks
- Cost anomaly detection that points to the resource behind it
- AI-assisted dependency mapping for migration planning
- Private RAG assistants running inside your cloud
- AI-assisted review of infrastructure code for security and cost issues
Every automated action is logged and owned by your team, so you stay in control as automation grows.
What We Aim to Improve
What Your Organization Gains
The outcomes we design for from day one, tracked against the measures we agree with you.
Faster issue resolution
Problems caught and fixed earlier.
Predictable cloud spend
Costs that are visible and owned.
Ready to run AI
A foundation built for AI workloads.
Stronger security posture
Guardrails and controls by default.
Less manual operations
Routine work handled automatically.
Easier to scale
Capacity that grows with demand.
Our Process
A staged path from assessment to an intelligent, continuously optimized cloud.
1. Assess
We review workloads, data, costs and AI goals to set the right cloud strategy.
2. Design
We design the landing zone, security, data platform and migration plan.
3. Migrate and Build
We move workloads in planned waves and deploy AI-ready platforms with minimal disruption.
4. Operate with AIOps
We run your cloud with monitoring, automation and clear runbooks.
5. Optimize
We review cost, performance and security on a regular cycle and keep improving.
Planning a migration or an AI project?
Bring it to a 30-minute call and leave with a clear next step.
Who We Work With
We partner with organizations that want a cloud they can trust to run both their core systems and their AI. We work with:
- Mid-market and enterprise companies moving to the cloud or modernizing
- Teams launching generative AI, RAG or machine learning projects
- SaaS and digital product companies
- Organizations with rising or unpredictable cloud bills
Work with us the way that suits you: start with a fixed-scope assessment or pilot, move to a defined migration or platform project, or add a dedicated team of cloud, data and DevOps engineers through our staff augmentation and consulting model.
Technology and Platforms
We are platform-neutral and work within your existing environment.
Cloud Platforms
AWS, Microsoft Azure, Google Cloud
AI Platforms
Amazon Bedrock, Azure AI Foundry / Azure OpenAI, Google Vertex AI
Infrastructure as Code
Terraform, Bicep, AWS CloudFormation
Containers
Kubernetes (EKS, AKS, GKE)
Data and Vector
Snowflake, Databricks, BigQuery, PostgreSQL with pgvector
Monitoring and AIOps
Amazon CloudWatch, Azure Monitor, Datadog
Cost Management
Native cloud cost tools and FinOps practices
Security, Privacy and Compliance
Security is built into every landing zone, migration and AI platform we deliver. We design to your obligations, and your security and compliance teams make the final call.
- Secure foundations: identity, network segmentation and guardrails from day one.
- Least-privilege access: role-based access, MFA and separation of duties.
- Encryption: data encrypted in transit and at rest, with managed keys.
- Private AI deployment: models run inside your tenancy, or with vendor settings that keep your data out of model training.
- Data residency: workloads hosted in Australian regions for Australian clients, and US regions for US clients, as required.
- Monitoring and audit: continuous monitoring, alerting and audit logging.
- Recognized frameworks: we design against cloud provider Well-Architected guidance, CIS Benchmarks and, for Australian clients, the ACSC Essential Eight where relevant.
Frequently Asked Questions
How much do cloud consulting services cost?
It depends on the size of your environment, the workloads involved and how much you want us to run for you. Most clients start with a fixed-price assessment or pilot, then move to a project or ongoing support. We’ll give you a clear estimate after the discovery call.
How long does a cloud migration take?
It depends on the number of applications and how much modernization is involved. We plan migrations in waves, so you see working results early instead of waiting for one big cutover.
Which cloud platforms do you work with?
We design and build on AWS, Microsoft Azure and Google Cloud, and can help you choose or combine them based on your workloads and existing skills.
How do you keep our data and AI models secure?
We build on secure landing zones with least-privilege access, encryption and audit logging, and deploy AI models privately inside your environment, so your data stays under your control.
Will a migration disrupt our business?
We plan for minimal disruption with migration waves, testing and rollback plans, and schedule cutovers around your business calendar.
Can our data stay in Australia?
Yes. For Australian clients we can host workloads and data in Australian cloud regions and design data flows to keep them onshore.
Can you help reduce our cloud costs?
Yes. We apply cost visibility, right-sizing, commitment planning and AI-assisted anomaly detection to keep cloud and AI spend predictable as you scale.
What happens on the AI Discovery Call?
It’s a 30-minute conversation about your goals and current cloud setup. We’ll suggest where to start, outline next steps and answer your questions. There’s no obligation.
Ready to Build an AI-Ready Cloud?
Book a 30-minute call with our team. We’ll review your cloud setup and show you where to start.