Services
From Strategy to
Production Systems
Advisory, architecture and hands-on engineering across the full data and AI lifecycle — delivered in short, demonstrable increments.
Strategy & Advisory
Data and AI strategy, platform assessments, architecture reviews and use-case prioritisation tied to business value.
- Data & AI strategy
- Architecture assessment
- Use-case discovery
- Roadmaps & business cases
Architecture & Design
Target-state architectures for data platforms, AI systems and customer data — secure, scalable and cost-aware.
- Lakehouse architecture
- AI reference architecture
- Security & governance design
- Cloud landing zones
Engineering & Delivery
Hands-on engineering of pipelines, platforms, models and AI applications using modern delivery practices.
- Data engineering
- ML & GenAI engineering
- Application integration
- CI/CD & infrastructure as code
Modernisation & Migration
Move legacy warehouses, ETL and reporting to modern cloud platforms with minimal disruption.
- Warehouse migration
- ETL modernisation
- Spark optimisation
- Reporting consolidation
AI Enablement
Take AI from pilots to production with evaluation, guardrails, LLMOps and change enablement.
- PoC to production
- Evaluation frameworks
- LLMOps / MLOps
- Team enablement
Managed Data & AI Operations
Ongoing operation, monitoring and optimisation of data and AI platforms.
- Platform operations
- Observability & SLAs
- Cost optimisation
- Continuous improvement
How we work
A delivery model built for momentum
Clear outcomes, small increments and working software at every step.
- 01
Discover
Understand goals, data landscape and constraints; agree measurable outcomes.
- 02
Design
Define architecture, delivery plan and governance approach.
- 03
Build
Deliver in short, demonstrable increments with working software.
- 04
Scale
Industrialise, hand over or operate — and turn patterns into reusable assets.
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