No big-bang cut-overs
We move in stages and run old and new side by side until the numbers match.
- Phased migration plans
- Parallel runs
- Reconciliation checks
- Rollback paths
Data
modernization.
We move your data off ageing databases and warehouses onto a modern cloud platform, with pipelines that keep it fresh and ready for reporting and AI.
AI and analytics are only as good as the data under them. We rebuild that foundation without stopping the business.
What we modernize
From a single legacy database to a full data estate, planned in phases you can live with.
- 01
Cloud data platforms
Warehouses and lakehouses designed around how your business uses data, sized for today and ready to grow.
- 02
Legacy migration
Data, schemas and logic moved from on-premise systems to the cloud, checked record by record before cut-over.
- 03
Data pipelines
Batch and streaming pipelines that pull from your apps and sources and land clean, consistent data on schedule.
- 04
AI-ready data
Data organised, documented and exposed so analysts, models and AI features can use it safely.
A move you can trust
Modernization should cut cost and complexity, not add risk to the systems you run on today.
Built for scale and cost
Storage and compute set up to grow with demand while keeping spend visible.
- Separation of storage & compute
- Auto-scaling
- Cost monitoring
- Workload tuning
Engineered properly
Pipelines treated as software, with versioning, tests and alerts.
- Infrastructure as code
- Data tests in CI
- Pipeline monitoring
- Clear documentation
From legacy to modern platform
- 01
Assessment
We inventory your data sources, workloads and reports, and find where the cost and pain sit today.
- 02
Target design
A platform architecture and migration plan, agreed with your team before anything moves.
- 03
Migration
Data and pipelines moved in phases, validated against the old system at every step.
- 04
Handover & support
Documentation, training and ongoing support so your team can run and extend the platform.
You ask. We answer.
Do we have to move everything at once?
No. We usually start with the data that matters most to reporting or a new product, prove the platform, then move the rest in phases.
Which cloud platform should we choose?
It depends on your existing cloud, skills, workloads and budget. We compare the options against your needs and recommend one, rather than pushing a single vendor.
Will our reports break during the migration?
We run old and new systems in parallel and reconcile the results, so reports switch over only once the numbers match.
How long does a data modernization project take?
A focused migration can take a few months. Larger estates are delivered in phases, each one in use before the next begins.
Ready to modernize your data?
Tell us what your data runs on today, and we'll map out a practical path to a modern platform.