Production-ready Data Platforms
Fixed price. Fixed timeline. Managed service from day one.
“If you can look into the seeds of time, and say which grain will grow and which will not, speak then unto me.
Why organisations partner with us
We deliver on our commitments to you: on budget, on time, every time. No six-month discoveries, no scope creep, no excuses.
90 days to production
From kickoff to managed service in under 90 days. No drawn-out discovery phases or scope creep.
Fixed price, fixed timeline
We quote a price and a date, then we deliver. No surprises, no overruns, no excuses.
Managed service included
Every build includes ongoing operations. We don't just build and leave. We run your platform.
Flexible payment options
Pay upfront or bundle the build cost into your managed service fee. Whatever works for your budget.
Three technology platforms
We recommend the right platform for your needs. All built on Azure foundations, all production-ready, all fully managed.
Azure Native
Microsoft's unified analytics stack for organisations already invested in the Microsoft ecosystem.
Technologies
Best for
Organisations standardised on Microsoft, looking for single vendor simplicity and unified licensing
Azure + Databricks
Best-in-class data engineering and ML platform for advanced analytics workloads.
Technologies
Best for
Data science teams, complex transformations, machine learning at scale
Snowflake
Industry-leading cloud data warehouse with exceptional query performance and data sharing.
Technologies
Best for
Multi-cloud strategies, data sharing, heavy SQL workloads
Reference builds
Every platform is tailored to your needs. These examples show what's possible and give you a starting point for conversation.
Foundational Platform
Your first enterprise data platform. Consolidate spreadsheets and silos into a governed, scalable foundation.
Small to mid-size organisations starting their data journey
What's included
- Data warehouse or lakehouse architecture
- Core data pipelines and integrations
- Power BI reporting layer
- Data quality and governance foundations
- Managed service from day one
Typical timeline
8–12 weeks
Analytics Platform
Advanced analytics with self-service capabilities. Enable your teams to explore data and build their own insights.
Organisations ready to democratize data access and enable self-service
What's included
- Lakehouse architecture with medallion layers
- Complex data transformations and modelling
- Self-service analytics environment
- Light ML and predictive capabilities
- Managed service with proactive optimisation
Typical timeline
10–14 weeks
Enterprise Platform
Full-scale data platform for complex organisations. Multiple sources, advanced governance, enterprise operations.
Large organisations with complex data landscapes and governance requirements
What's included
- Enterprise data architecture design
- Multiple source system integrations
- Advanced governance and lineage
- Data mesh or domain-oriented design
- 24/7 managed service and operations
Typical timeline
12–16 weeks
We'll provide a fixed quote after understanding your specific needs.
Modern data architecture
Every platform is built on proven patterns with enterprise-grade components.
Data Ingestion
- Azure Data Factory orchestration
- Automated file ingestion
- API and database connectors
- Microsoft 365 integration
- Change data capture
Data Processing
- Databricks, Synapse or Fabric
- Medallion architecture
- Data quality validation
- Dimensional modelling
- Real-time and batch
Storage & Compute
- Azure Data Lake Gen2
- Snowflake or Azure SQL
- Scalable compute
- Auto-optimisation
- Cost management
Analytics & BI
- Power BI integration
- Self-service analytics
- Embedded dashboards
- Scheduled distribution
- Mobile access
Managed service, not just a build
We don't build platforms and walk away. Every engagement includes ongoing managed service: monitoring, optimisation, support and continuous improvement.
You get a production-grade platform without needing to hire a platform team.
