Five practices, delivered as one architecture

Business problem

Reporting is slow and contested. Data is spread across extracts, legacy warehouses and spreadsheets with no agreed definition of a metric.

Solution

A governed data platform on Google Cloud with modelled, tested transformations and a semantic layer the business trusts.

Core capabilities

• BigQuery data warehousing
• Cloud data lakes and lakehouse
• ETL/ELT and streaming pipelines
• Analytics engineering and Looker

Business outcomes

• Shorter time to insight
• One trusted definition per metric
• Lower reporting maintenance load

Business problem

AI pilots demo well and then stall. There is no evaluation harness, no grounding data and no route to production ownership.

Solution

Applied AI engineering on Vertex AI: grounded retrieval, evaluated models, and MLOps that makes deployment routine.

Core capabilities

• Generative AI and RAG architecture
• Machine learning and predictive analytics
• MLOps and model evaluation
• AI governance

Business outcomes

• Pilots that reach production
• Measurable model quality
• Governed, auditable AI usage

Business problem

Estates are pinned to ageing infrastructure, with migration plans that stall on unclear dependencies and compliance risk.

Solution

Discovery-led migration into a secure Google Cloud landing zone, with modernization applied where it pays for itself.

Core capabilities

• Landing zones and Infrastructure as Code
• Infrastructure and application migration
• Kubernetes and container modernization
• Database and storage migration

Business outcomes

• Predictable migration waves
• Reduced infrastructure complexity
• Reproducible environments

Business problem

Leadership needs a defensible view of where the architecture actually stands before committing budget to a programme.

Solution

Scoped assessments producing a findings report, target architecture and a sequenced, costed roadmap.

Core capabilities

• Data Maturity Assessment
• AI Readiness Workshop
• Cloud Architecture Review

Business outcomes

• An evidence-based baseline
• A prioritized roadmap
• Alignment between business and engineering

Business problem

A new platform lands and the team that inherits it has not been prepared to run, extend or secure it.

Solution

Role-based enablement tailored to your stack and maturity, delivered against the architecture you actually operate.

Core capabilities

• GCP fundamentals and cloud architecture
• Data engineering and BigQuery
• AI/ML and Vertex AI
• Terraform, DevSecOps and cloud security

Business outcomes

• Internal ownership of the platform
• Fewer escalations after handover
• Faster onboarding for new engineers