Case studies
Real engagements. Measured outcomes.
Filter by what matters to you — industry, service, or technology — and see how we worked with similar teams.
All case studies
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Cybersecurity
Hugin.io
Cybersecurity
Secure Azure Infrastructure & Cyber Risk Platform for Hugin
Hugin, a cutting-edge cybersecurity management platform, needed a robust, highly available cloud foundation built to strict compliance standards — specifically Microsoft's Cloud Adoption Framework (CAF). The challenge was two-fold: establish an enterprise-scale Azure environment with security embedded from the ground up, then deliver a real-time Cyber Risk Detection Application that would give users a clear, actionable overview of their cloud security posture.
AzureTerraformAKSAzure DevOpsView case study →Zero
deployment downtime, CAF compliant from day one
3
AKS clusters
Dev, Prod, and Shared clusters for complete workload isolation, security enforcement, and operational stability across all environments.
Zero
deployment downtime
Azure DevOps CI/CD pipelines with automated rollback eliminated deployment risk from day one and sustained continuous service availability.
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HealthTech
iCardio.ai
HealthTech
GKE Migration & AI DevOps Platform for iCardio.ai
iCardio.ai operates one of the most data-intensive platforms in medical AI — a proprietary dataset of 200M+ annotated echocardiogram images powering deep learning algorithms for automated transthoracic echo interpretation. Their infrastructure had grown organically on AWS, but fragmented tooling, manual deployment processes, and no unified observability were slowing ML model rollouts and creating compliance risk around sensitive cardiac imaging data. They needed a complete DevOps overhaul: migrate 132 TB of medical imaging data to GCP, replatform container workloads from ECS to GKE, and build the CI/CD and monitoring foundation their AI pipelines demanded.
GCPGKETerraformGitHub ActionsView case study →132 TB
migrated AWS → GCP, zero downtime
132 TB
data migrated AWS → GCP
Full medical imaging dataset transferred from AWS S3 to Google Cloud Storage with minimal downtime and no data integrity issues.
Zero
downtime during ECS → GKE migration
Container workloads replatformed from ECS to GKE with continuous service availability maintained throughout the transition.
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MobilityTech
Bridj.ai
MobilityTech
Cloud Run Platform & Shared CI/CD for Bridj
Bridj had no existing deployment or infrastructure setup when the engagement began. Everything — containerisation, CI/CD pipelines, cloud configuration, and even local development environments — had to be designed and built from scratch. The absence of any standardised deployment process meant every developer's setup was inconsistent, and the path from code commit to production was entirely manual.
GCPCloud RunTerraformGitHub ActionsView case study →9 apps
deployed via automated sequential CI/CD
5 repos
unified under one shared CI/CD workflow
A single reusable GitHub Actions workflow definition served all five application repositories, eliminating duplicate pipeline code and configuration drift.
9 apps
deployed sequentially with auto-rollback
The deployer repository orchestrated full multi-application rollouts — any failure triggered automatic rollback of all applications to the previous stable state.
- S
SaaS
SaaS Software, Series B
SaaS
Cutting AWS spend by 64% for a Series B SaaS
A Series B SaaS company had grown its AWS bill from $35k to $180k per month in 18 months — far ahead of revenue growth. Engineering had no visibility into per-workload cost, and the CFO needed a credible plan before the next board meeting.
AWSTerraformEKSSpot InstancesView case study →64%
AWS spend reduction
64%
spend reduction
From $180k/mo to $65k/mo within 90 days, sustained for the following two quarters.
$1.4M
annualized savings
Net of the engagement cost and ongoing FinOps tooling.