Multi-Cloud Expertise
Native fluency in AWS, Azure and GCP — and the hybrid space in between.
Software Engineering
Cloud infrastructure defined in code, sized for what you actually run, and instrumented so you can see what it is doing.
Built for your business
From greenfield builds to enterprise migrations — we engineer cloud infrastructure that's resilient, efficient, and ready for tomorrow.
Native fluency in AWS, Azure and GCP — and the hybrid space in between.
Terraform, Pulumi and CloudFormation — every resource versioned and reviewable.
Right-sizing, reserved instances, savings plans and FinOps practices.
IAM, network segmentation, KMS and continuous compliance monitoring.
Multi-AZ, multi-region architectures with self-healing infrastructure.
Logs, metrics, traces and dashboards via CloudWatch, Datadog or Grafana.
What we deliver
Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.
Cloud roadmap, vendor selection, total-cost-of-ownership modeling, and reference architecture.
Lift-and-shift, replatforming, and refactoring of workloads to AWS, Azure, or GCP.
Greenfield apps built on serverless, containers, and managed services for elasticity.
EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, CloudFront, and the full AWS stack.
AKS, App Service, Functions, Cosmos DB, Synapse, and enterprise-grade Azure builds.
GKE, Cloud Run, Cloud Functions, BigQuery, and AI/ML on Vertex AI.
Hybrid architectures with on-prem connectivity and cross-cloud workload portability.
Identity controls, encryption, key management and application security, with relevant compliance requirements assessed during discovery.
GitHub Actions, GitLab CI, CodePipeline, and ArgoCD pipelines for fast safe releases.
Right-sizing, reservations, savings plans, anomaly detection, and chargeback dashboards.
Cross-region failover, immutable backups, and tested DR runbooks.
Monitoring, patching, incident response and continuous optimization under an agreed support plan.
From brief to delivery
A practical process with agreed milestones, regular reviews, and a handover your team can use.
Audit current infrastructure, workloads, costs, and readiness.
Design target state, migration strategy, and security baseline.
Execute lift-and-shift or refactor with zero-downtime cutovers.
Continuous cost, performance, and security tuning post-migration.
Tools of the trade
We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.
Before we begin
What to know about cloud services, from project scope to ongoing support.
It depends on your existing tooling, workload type, and team skills. AWS leads in breadth, Azure integrates deeply with Microsoft stacks, GCP excels at data and AI. We help you decide based on your goals.
A small workload migration takes 4–8 weeks. Enterprise migrations with hundreds of apps typically run 6–18 months in waves.
When done right, yes — usually 20–40% lower TCO over 3 years. Cost optimization (FinOps) is essential to realize the savings.
IAM least-privilege, encryption at rest and in transit, network segmentation, WAF, continuous compliance scanning, and regular audits.
Yes. We design and operate hybrid (on-prem + cloud) and multi-cloud architectures that avoid vendor lock-in.
Monitoring, incident response and on-call support can be included in an agreed support plan. Coverage hours, escalation routes and response commitments are defined in the proposal and service agreement.
We design and test DR strategies — backups, replication, multi-region failover — tailored to your RPO/RTO requirements.
Keep exploring
Connected services, delivered by the same team.
A conversation is a good start
Tell us what you want to build or improve. We will help clarify the scope, the approach, and the next step.