Representative engagement scenarios across healthcare, fintech, SaaS and e-commerce — the challenges we solve and the outcomes we design for.
These examples show the kinds of problems we solve and how we scope, secure and deliver. We'll share relevant, permissioned references during a consultation.
Re-platforming a health-data product onto a zero-trust AWS architecture with automated compliance evidence and PHI-safe pipelines.
Designing an ML inference pipeline that scores transactions with low latency, full observability and automated retraining.
Moving releases to Terraform + Kubernetes GitOps — removing manual steps and cutting deployment time.
Elastic infrastructure that absorbs large traffic spikes with no downtime and controlled cost.
Standing up controls, evidence collection and continuous monitoring to reach SOC 2 readiness on a defined timeline.
A streaming + ML platform delivering live ETAs across a distributed fleet at scale.
We baseline before we build, so every result is provable.
Compliance and security are scoped in from the start.
Reproducible, auditable infrastructure and pipelines.
We stay on to optimise cost, reliability and risk.
Representative outcomes include scaling platforms to 50M+ daily requests, cutting cloud costs by up to 40%, achieving SOC 2 readiness, and modernising legacy systems — with 99.99% uptime targets and automated scaling.
Yes. On a discovery call we can walk through relevant engagement examples and, where permitted, provide references from similar industries such as healthcare, SaaS and fintech.
We define measurable outcomes up front — uptime, cost reduction, deployment frequency, MTTR, audit readiness — and report against them throughout delivery, so value is provable, not just promised.
Tell us the problem — we'll map measurable outcomes and a path to production.