The Platforms Behind the Delivery
We are technology-agnostic but deeply experienced. Our teams hold certifications, production experience, and architectural expertise across the industry's most capable platforms. We select tools based on client requirements, not vendor partnerships — and we implement them at production grade.
Multi-Cloud. Production-Hardened.
We design, build, and operate cloud infrastructure across all three major hyperscalers and the container orchestration ecosystem. Every deployment follows infrastructure-as-code principles with automated testing, security scanning, and cost governance built in.
- Amazon Web Services (AWS) — Landing zones, Well-Architected reviews, EKS, Lambda, and the full AWS security suite. We design AWS environments that satisfy financial services and government compliance requirements.
- Microsoft Azure — Azure Landing Zones, AKS, Azure Functions, Entra ID, and Defender for Cloud. Deep integration with Microsoft 365 and Dynamics ecosystems for enterprise clients.
- Google Cloud Platform (GCP) — GKE, BigQuery, Vertex AI, and Cloud Run. Particularly strong for data-intensive workloads and AI/ML platform engineering.
- Kubernetes — Production Kubernetes across managed (EKS, AKS, GKE) and self-hosted deployments. Service mesh, GitOps, and platform engineering for internal developer platforms.
- Docker — Containerisation strategy, image hardening, registry management, and secure container supply chain practices.
- Terraform — Infrastructure-as-code across multi-cloud environments. Module libraries, state management, policy-as-code with Sentinel, and drift detection.
DevOps & Software Delivery
Modern software delivery demands tooling that supports speed without sacrificing governance. We implement and optimise CI/CD pipelines, developer platforms, and engineering workflows that accelerate delivery while maintaining auditability.
GitHub
GitHub Enterprise, GitHub Actions, Copilot integration, advanced security (GHAS), and repository governance for enterprise development teams. Code scanning, secret detection, and dependency review as standard.
GitLab
GitLab CI/CD, self-managed and SaaS deployments, pipeline security scanning, and compliance frameworks for regulated environments requiring air-gapped or on-premise source control.
Azure DevOps
Azure Repos, Pipelines, Boards, and Artifacts for organisations invested in the Microsoft ecosystem. YAML pipelines, environment approvals, and integration with Azure Policy for governed deployments.
CI/CD Pipelines
End-to-end pipeline design across Jenkins, GitHub Actions, GitLab CI, and Azure Pipelines. Automated testing, security gates, artifact signing, and deployment strategies including blue-green and canary releases.
Detection, Identity & Response
Security tooling is only as effective as the architecture, tuning, and operational processes behind it. We implement, integrate, and optimise security platforms to deliver real threat detection and rapid incident response — not just dashboards full of unactioned alerts.
- Microsoft Sentinel — Cloud-native SIEM with custom analytics rules, automated investigation playbooks, and integration with the Microsoft Defender suite. Optimised for cost-effective log ingestion and threat hunting.
- Splunk — Enterprise SIEM for organisations requiring on-premise or hybrid deployment. Custom dashboards, correlation searches, and integration with third-party threat intelligence feeds.
- CrowdStrike — Endpoint detection and response (EDR), threat intelligence, and managed threat hunting. Deployment, tuning, and integration with SOC workflows.
- Okta — Identity and access management, single sign-on, adaptive MFA, and lifecycle management for workforce and customer identity scenarios.
- Microsoft Entra ID — Azure Active Directory, conditional access, Privileged Identity Management (PIM), and identity governance for Microsoft-centric enterprises.
Generative AI & Machine Learning
We build AI solutions on enterprise-grade platforms with proper governance, data security, and cost management. Our teams have production experience across the leading AI platforms and the open-source ecosystem that connects them.
Azure OpenAI Service
GPT-4, embeddings, and fine-tuned models deployed within Azure's compliance boundary. RAG architectures, prompt engineering, and content safety filters for enterprise generative AI applications.
Anthropic Claude
Claude integration for complex reasoning, document analysis, and agentic workflows. API integration, prompt optimisation, and responsible AI governance frameworks.
AWS Bedrock
Multi-model access through a single API. Foundation model selection, knowledge bases, agents, and guardrails for AWS-native AI deployments with fine-grained access control.
Google Vertex AI
Gemini models, custom training pipelines, feature stores, and model monitoring on GCP. Particularly effective for organisations with large-scale data assets in BigQuery.
LangChain & LangGraph
Orchestration frameworks for building complex AI agents, retrieval-augmented generation pipelines, and multi-step reasoning workflows. Production deployments with observability and evaluation built in.
Analytics, Warehousing & Intelligence
Data underpins every transformation initiative. We implement data platforms that are governed, performant, and accessible to the people who need them — from data engineers to board-level stakeholders.
Databricks
Lakehouse architecture, Delta Lake, Unity Catalog, and MLflow for organisations unifying data engineering, analytics, and machine learning on a single platform. Multi-cloud deployment with proper governance.
Snowflake
Cloud data warehouse with data sharing, Snowpark, and Streamlit integration. Cost optimisation through warehouse sizing, auto-suspend policies, and query performance tuning.
Power BI
Enterprise business intelligence with governed datasets, row-level security, paginated reports, and embedded analytics. Deployment pipelines and workspace governance for large organisations.
Robotic Process Automation & Intelligent Automation
Automation delivers measurable ROI when applied to the right processes with the right governance. We identify automation opportunities, design scalable automation architectures, and implement solutions that reduce manual effort while maintaining audit trails and exception handling.
- UiPath — Enterprise RPA with attended and unattended automation, document understanding, and process mining. Centre of excellence design and governance frameworks for scaling automation across the organisation.
- Microsoft Power Automate — Low-code automation integrated with Microsoft 365 and Dynamics 365. Desktop flows, cloud flows, and AI Builder for citizen developer and professional developer scenarios.
- Blue Prism — Digital workforce management for regulated industries requiring enterprise-grade security, audit logging, and change management. Integration with existing ITSM and BPM platforms.
Technology Selection Support
Not sure which platform is right for your requirements? We provide independent technology assessments that evaluate options against your technical constraints, compliance obligations, cost profile, and team capabilities.