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Senior on the keyboardArchitects code alongside the team. No throwaway prototypes.
We design, build, ship and operate software for enterprises across six regions. Every engagement led by a senior engineer; every line of code owned, tested and documented by the same people who'll be on-call when it breaks.
End-to-end product engineering — discovery, architecture, build, test, ship and operate. Enterprise platforms, internal tooling and SaaS products engineered to be owned by your team.
Architects code alongside the team. No throwaway prototypes.
Unit, integration and end-to-end suites — green before merge.
Architecture decision records, runbooks and onboarding docs.
Stack you can hire for, code your team can extend without us.
Marketing sites, customer portals, web apps and internal dashboards — designed for the metric that matters, engineered on a stack you can maintain.
Performance, accessibility and SEO benchmarks baked into the build.
Frontend independent of backend — swap either side without rewriting.
Event taxonomy, funnels and A/B framework wired before launch.
Accessibility audit signed, not assumed. Tested with real assistive tech.
Native iOS, native Android and cross-platform apps for consumer reach, field operations and customer self-service. Shipped to your store, signed with your identity.
Conflict-resolution and sync logic designed in, not retrofitted.
OTA where possible, store releases on a predictable cadence.
Sentry, Crashlytics and the engineering rhythm to keep it there.
We've shipped 80+ apps. Review-board pitfalls are mapped, not learned.
AWS, Azure and GCP — migration, modernisation, FinOps and 24×7 SRE. Pipelines, observability and the security guardrails most rollouts skip.
Terraform / Pulumi modules, version-controlled, peer-reviewed.
Metrics, logs, traces — Grafana, Prometheus, OpenTelemetry baseline.
Defined per service, tracked weekly, tied to error budgets.
15–35% TCO reduction is typical inside the first 90 days.
Data lakehouses, BI, real-time pipelines and productionised generative-AI workflows — copilots, agents and ML services with guardrails, evaluations and the cost discipline most projects ignore.
Models behind APIs, monitored, retrained, versioned — not notebooks.
Eval suites for every LLM workflow, scored against golden datasets.
Token, inference and pipeline costs tracked per feature, not per stack.
PII redaction, isolation and the data-residency posture each region requires.
Vetted developers, managed teams and 24×7 application support — billed by sprint or SLA, never by headcount alone.
Three vetted candidates for high-priority engineering roles.
Squad-as-a-service — designers, engineers, PMs billed by sprint.
Response and resolution targets per ticket priority — published monthly.
Optional shift from FTE to per-ticket or per-release commercial models.
Defined deliverables, defined timeline, defined fee.
A persistent engineering team against your roadmap.
Vetted individuals embedded in your team.
A 30-minute conversation with a senior engineer from the relevant practice. We'll either propose how we'd build it, or point you to someone who'd build it better.