Projects that demonstrate how we work and what we deliver.

A mid-size financial services firm was running critical trading and reporting systems on ageing on-premise infrastructure. Hardware refresh cycles were expensive, disaster recovery processes were manual and untested, and the platform could not support the performance requirements of an expanding product line. Regulatory requirements for data residency and audit logging added further constraints on the migration approach.

We began with a three-week discovery phase, producing a full inventory of the existing systems, their dependencies and their compliance requirements. We designed a phased migration to AWS using a lift-refactor strategy — retaining core application logic while replacing infrastructure components with managed services. All environments were defined in Terraform from day one. Security controls were designed against FCA infrastructure guidance and ISO 27001 requirements throughout.

18-week delivery from discovery completion to production go-live. Parallel environments ran during the final four weeks of testing and validation. Go-live was executed during a planned maintenance window with zero unplanned downtime. Full observability stack — CloudWatch, Grafana dashboards and PagerDuty alerting — was live before the cutover.

A healthcare data provider working with NHS-adjacent organisations needed to integrate four separate clinical and administrative platforms — an EHR system, a scheduling platform, a reporting database and a third-party analytics service. Data was being exported manually between systems, creating accuracy problems and compliance exposure around data handling under NHS DSP Toolkit requirements.

We designed a hub-and-spoke integration architecture using an API gateway as the central integration layer. Each system connects to the gateway through a standardised connector — meaning future platform additions require only a new connector, not a redesign of the integration layer. All data flows were documented with explicit data classification, retention rules and access control requirements mapped to NHS DSPT standards. HL7 FHIR was adopted as the standard for clinical data exchange.

12-week delivery. All four integrations live on the new architecture. Manual data export processes eliminated. Full audit logging of all data movements implemented and mapped to NHS DSPT evidence requirements. A fifth platform was added by the client's own team six weeks after delivery — using the connector framework we documented.

A national logistics company with over 40 microservices had no consistent deployment process. Each service was deployed differently — some manually via SSH, some through ad hoc scripts, none with automated testing. Deployment failures were frequent and the mean time to recovery was measured in hours. The engineering team of 18 was spending an estimated 30% of their time on deployment-related issues rather than product development.

We audited all 40 services, categorised them by deployment complexity and defined a standardised pipeline template for each category. We introduced Kubernetes on EKS as the deployment target, replacing the mixed on-premise and ad hoc cloud approach. GitLab CI was configured with a common pipeline structure that all services could adopt with minimal configuration. We ran the migration in three tranches, starting with the lowest-risk services to validate the approach before applying it to business-critical systems.

16 weeks from audit completion to full pipeline migration across all 40 services. Kubernetes cluster configured with autoscaling, node group management and Prometheus/Grafana monitoring. Deployment frequency increased from approximately four times per week across all services to multiple times per day. Rollback procedures tested and documented for every service category.

A legal technology startup was scaling from 20 to 200 active clients and had reached the limits of its original single-server architecture. Response times were degrading under load, the system had no high-availability configuration and the founding engineering team had no previous experience managing cloud infrastructure at scale. The client needed a production-grade architecture that their team could operate — not a dependency on an external managed service.

We conducted a one-week discovery engagement focused on understanding the application architecture, data models and client usage patterns. We designed a multi-AZ AWS architecture using ECS Fargate for application workloads, RDS Multi-AZ for database, CloudFront for static asset delivery and WAF for application-layer security. All infrastructure was defined in Terraform with environment-specific variable sets. Security controls were mapped to Cyber Essentials Plus requirements and GDPR data handling obligations under UK law.

Ten-week delivery from design sign-off to production cutover. Architecture documentation and operational runbooks produced alongside the build. Three walkthrough sessions conducted with the client's engineering team before handover. Monitoring dashboards and alerting configured before go-live. The client's team managed the first production incident independently within the first month.