What we build
Six areas, and exactly what is included in each.
Every bullet below is work we have shipped. Where a line looks like filler on another company's site, it is here because a client needed it and we built it.
Cloud and DevOps
Deployment pipelines, environment management, monitoring and cost control on Azure and AWS, so releases stop being events that need a Friday evening.
What this includes
- CI/CD pipelines with automated tests as a gate
- Environment separation and secret management
- Monitoring, alerting and log aggregation
- Cost review, because cloud bills drift
IoT and embedded
Sensors, firmware, telemetry and the application on the other end.
What this includes
- Sensor selection and rig design
- Firmware on ESP8266 and comparable controllers
- Telemetry ingestion and real-time streaming
- On-device inference and remote actuation
QA, testing and security review
Functional and end-to-end testing, API security auditing and penetration-style review of every endpoint your application exposes, including the ones nobody documented.
What this includes
- Automated end-to-end test suites
- API authentication and authorisation review
- Dependency and secret scanning
- Written findings with severity and remediation
Infrastructure and migrations
Microsoft 365 tenancy work, domain and identity migrations, and virtual learning environment moves, planned so that no historic data is lost and teaching or trading continues throughout.
What this includes
- Estate inventory before any change is planned
- Batch migration with data continuity first
- Rollback plan that has actually been tested
- Cutover sequenced around your operating calendar
Managed support and care
Ongoing maintenance, monitoring, model retraining and enhancement under a plain agreement, rolling monthly, with thirty days' notice either way and no lock-in through opacity.
What this includes
- Uptime and error monitoring with named response times
- Security patching and dependency updates
- Model drift checks and scheduled retraining
- An agreed pool of enhancement hours each month
Training and capability building
Practical upskilling for your team on AI tooling, engineering practice and data literacy, delivered by people who teach at university level for a living.
What this includes
- Workshops built around your systems, not generic slides
- Curriculum design for internal programmes
- Pairing and code review as a teaching method
- Written material your team keeps