Six engineering practices · cloud, applications, infrastructure, AIWhat we actually do
Six engineering practices, cloud security, cloud migration, application development, IT infrastructure, applied AI and middleware administration, for federal programs and regulated commercial operators. One standard across all six: decisions written down, controls evidenced, capacity measured, and a handover your own engineers can work with.
Practice index
Cloud security
Cloud security engineering on AWS and Google Cloud: identity and access management, data protection, security monitoring, incident response, and control evidence for federal and regulated programs.
Controls that hold under audit and under load.
Engineering note
We treat security as an operating property of the system rather than a review at the end. Controls are designed with the architecture, evidenced for auditors, and monitored in production.
Capabilities
Security assessment · Identity and access management · Data protection · Compliance management · Security monitoring · Incident response
Cloud migration
Cloud migration services for federal programs and regulated operators: migration strategy, infrastructure and application migration to AWS and Google Cloud, data migration, and post-migration support.
Movement without unplanned downtime.
Engineering note
Migration work is sequenced around dependencies and risk, not convenience. Each wave has a rollback position, a performance baseline, and an owner.
Capabilities
Migration strategy · Infrastructure migration · Application modernization · Data migration · Cloud optimization · Post-migration support
Application development
Custom application development: web, mobile, API and enterprise systems built for maintainability, with quality assurance and application maintenance after handover.
Systems your own engineers can extend.
Engineering note
We build applications the client team can own: clear boundaries, documented interfaces, tested paths, and a delivery pipeline that stays usable after handover.
Capabilities
Custom software development · Web application engineering · Enterprise solutions · API development and integration · Quality assurance and testing · Application maintenance
IT infrastructure development
IT infrastructure engineering and system integration: network architecture, performance optimization, scalability engineering and infrastructure monitoring, on-premise and in the cloud.
Capacity that is measured, not assumed.
Engineering note
Foundations are sized to the actual workload profile and instrumented from the start, so capacity and failure behaviour are known before they matter.
Capabilities
Infrastructure planning and design · System integration · Network architecture · Performance optimization · Scalability engineering · Infrastructure monitoring
AI and machine learning
Applied AI and machine learning engineering: custom model development, natural language processing, computer vision, predictive analytics, ML pipeline engineering and production integration.
Decisions supported by systems you can inspect.
Engineering note
Models are only useful inside a working system. We handle the data path, evaluation, integration, and operational monitoring that make a model dependable.
Capabilities
Custom model development and training · Natural language processing and conversational systems · Computer vision and image recognition · Predictive analytics and forecasting · Automated decision systems · Machine learning pipeline engineering · Production integration and model optimization
Middleware administration
Middleware administration and support for integration platforms in cloud and distributed environments: configuration, performance tuning, patching, monitoring and version management.
Integration layers that stay boring.
Engineering note
Integration layers carry the traffic everything else depends on. We tune, monitor, patch, and document them so they stop being the unknown in the estate.
Capabilities
Middleware configuration · Performance tuning · Integration services · Monitoring and maintenance · Troubleshooting · Version management
The same four phases
Constraints differ by practice. The way the work moves does not. Each phase has to produce something before the next one starts.
- Phase 01
Assess
Constraints agreed in writing
- Phase 02
Architect
Decisions recorded with trade-offs
- Phase 03
Deliver
Increment tested and reversible
- Phase 04
Operate
Monitoring and recovery paths live