Our Delivery Infrastructure
The cloud platforms, security standards, and engineering practices we operate on — so clients know exactly what they are getting when they trust us with a production system.
Multi-Cloud. Client-Matched.
We deploy on the cloud platform that best fits the client's requirements, existing infrastructure, and compliance obligations — not the one we find most convenient.
Amazon Web Services
Primary cloud for client production deployments — EC2, RDS, S3, Lambda, SageMaker, and CloudFront for performant, globally distributed applications.
Microsoft Azure
Enterprise workloads and Microsoft ecosystem integrations — Azure App Service, Cosmos DB, Azure AI services, and Active Directory for enterprise clients.
Google Cloud Platform
Data and AI workloads — BigQuery for data warehousing, Vertex AI for model training and serving, and GKE for containerised microservices.
Security Standards We Operate To
Security is not a checklist we run at the end — it is built into how we architect, develop, and deploy every system we ship.
OWASP Top 10
Every application we build is assessed against the OWASP Top 10 security risks. Input validation, authentication hardening, injection prevention, and security headers are non-negotiable baseline requirements.
GDPR Compliance
Data handling, consent management, and subject access request processes are built in from day one for any system that processes personal data — not retrofitted before an audit.
ISO 27001 Awareness
We operate with ISO 27001 principles guiding our access control, incident response, and data classification practices — even for clients not formally pursuing certification.
SOC 2 Practices
Security, availability, and confidentiality controls aligned to SOC 2 Type II principles — supporting clients in regulated sectors where audit readiness is a commercial requirement.
Infrastructure as Code
All production infrastructure is defined in code — Terraform, CloudFormation, or ARM templates — enabling reproducible environments, version-controlled changes, and fast disaster recovery.
Secrets Management
Credentials, API keys, and sensitive configuration are never hardcoded. AWS Secrets Manager, Azure Key Vault, or HashiCorp Vault — secrets are rotated, audited, and never committed to source control.
Our Delivery Process
Every engagement follows the same structured process. No shortcuts. No skipped phases. Every client knows exactly where we are at every stage.
Discovery
Structured requirements gathering: stakeholder interviews, existing system audit, integration mapping, and commercial objective definition. Every project starts with a signed-off scope document before any design begins.
Design
Architecture design, data model definition, API contract documentation, and UI/UX wireframing. Design artefacts are reviewed by the client before development begins — no surprises at demo day.
Build
Sprint-based development with fortnightly client demos. Code is reviewed before merge, tested before deployment, and documented as it is written. Staging environment mirrors production throughout.
QA & Testing
Unit tests, integration tests, end-to-end tests, and performance benchmarking. Security scan runs in CI on every build. User acceptance testing conducted with client stakeholders before any production deployment.
Deploy & Support
Zero-downtime deployment via CI/CD pipelines. Monitoring, alerting, and runbook documentation delivered at go-live. Post-launch hypercare period with defined SLAs and a direct escalation path.
How We Write and Ship Code
The engineering practices that ensure every system we deliver is maintainable, testable, and secure — not just functional on go-live day.
Git Workflow
Gitflow branching with protected main and develop branches. Feature branches reviewed via pull request before merge. Commit messages follow conventional commits — every change is traceable.
CI/CD Pipelines
Automated pipelines on every push: lint → unit tests → integration tests → security scan → build → staging deploy. Production releases require manual approval gate. No code ships without passing the full pipeline.
Code Review
Every pull request reviewed by a senior engineer before merge — checking for correctness, performance, security, and maintainability. Code review turnaround is same-day during active sprints.
Automated Testing
Minimum 80% unit test coverage on new code. Integration tests covering critical paths. End-to-end tests for key user journeys. Test coverage gates block merges that reduce coverage.
Ready to Build Something Great?
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