44 practices,
six disciplines

Permissioned ledgers, tokenised assets and independently audited smart contracts.

Firmware, connectivity and telemetry pipelines for devices you cannot easily reach.

COBOL, Delphi, WebForms and Oracle Forms moved off, without a big-bang cutover.

Contracts, idempotency and replay — the unglamorous parts that keep 40 systems in step.

SAP, Oracle and Dynamics implementations judged on month-end close, not go-live day.

Salesforce, Dynamics or a custom build — chosen on your data model, not our licences.

React front ends built for large teams, long lifespans and genuinely complex state.

Next.js applications where the rendering strategy is a decision, not an accident.

Angular for systems that must still be maintainable after four rounds of staff turnover.

Vue and Nuxt for teams that need to move quickly without inheriting a mess.

One question answered in twelve weeks, in code you will not be forced to throw away.

The eighteen months after launch, when scale, hiring and enterprise buyers all arrive.

Systems built around the processes no packaged product was ever going to cover.

Platforms for organisations with multiple entities, real auditors and a ten-year horizon.

Browser-delivered software measured on the slowest device your users actually own.

Native and cross-platform apps built for field conditions, not conference demos.

Design systems, rendering and accessibility owned by people who measure the result.

Services that keep the numbers right when the queue is deep and a dependency is down.

Contract-first interfaces with versioning, quotas and deprecation rules agreed up front.

Service boundaries drawn around team ownership and failure domains, not fashion.

Landing zones, account structure and cost guardrails, designed before workload one.

Wave-planned migration of running systems, with a rollback path we have actually tested.

AWS engineering from Organizations and Control Tower down to Graviton instance sizing.

Azure for organisations with Active Directory, auditors and an on-premises estate to keep.

Google Cloud engineering centred on BigQuery, GKE and the data that justifies the move.

Delivery pipelines, release engineering and incident practice, measured by DORA metrics.

An internal platform with golden paths, run as a product with users and a roadmap.

Research, interaction design and design systems for software people use every day.

Discovery, prototypes and scope decisions that stop teams building the wrong thing.