Services

Product & Platform Design

Design systems, prototypes, and the research behind them, carried through to production-ready components.

Design work doesn't stop at a mockup. Wireframes and prototypes are validated against the domain model before a single production component gets built, so the design system that ships is one engineering can actually hold to — not a static reference nobody keeps up to date.

Web & PWA Development

Responsive, installable web applications built for offline resilience and sub-second interactions.

Service workers, cache strategies, and offline-first data flows are treated as architecture from day one, not bolted on before launch. The same PWA that holds up on a phone at a match runs unmodified on a desktop — one codebase, one deployment pipeline, sub-second interaction on both.

Mobile Applications

Native and cross-platform apps engineered for App Store review, device fragmentation, and field conditions.

Native and cross-platform builds are engineered against what actually breaks a mobile app in the field — App Store and Play Store review cycles, device fragmentation, intermittent connectivity, background-execution limits — not just the path a simulator shows on a desk.

Enterprise Business Applications

Line-of-business systems that replace spreadsheets and legacy tools without disrupting daily operations.

Line-of-business systems get the same architectural discipline as a consumer product: a domain model shaped by how the business actually works, not by the spreadsheet it's replacing, with a migration path that keeps daily operations running while the old tool is retired underneath them.

Data Integration & EAI

Pipelines and APIs that reconcile data across ERPs, SCADA, and third-party systems in near real time.

An ERP, a SCADA historian, and a third-party feed each carry their own idea of the truth. Reconciling them takes idempotent pipelines, explicit contracts between systems, and monitoring that catches drift before a downstream report does — without the integration layer becoming a second source of truth itself.

AI Engineering

Production machine learning and LLM systems designed for accuracy, latency, and cost under real load.

Production AI systems are held to the same bar as any other production system: accuracy measured against a real evaluation set, latency budgets that survive real load, and a cost model understood before it's committed to — whether the workload is a classical ML pipeline or an LLM wired into the SDLC itself.

Cloud Architecture & Deployment

Infrastructure, deployment pipelines, and cost engineering across AWS, Azure, and GCP.

Infrastructure and deployment pipelines are chosen for the workload in front of them, not a standing vendor preference, across AWS, Azure, and GCP — with cost engineering built in from the start rather than discovered on the first surprising invoice.

SDLC & Delivery Advisory

Delivery audits, team structure, and process design for organizations scaling past their first few engineers.

A delivery audit looks at how work actually moves through a team — where reviews stall, where tests get skipped, where architecture decisions get made without being written down — and turns that into a concrete plan for team structure and process, sized to where the organization is now, not to a generic playbook.