
Reliable data underpins product features, reporting, and AI initiatives. We shape domain-driven models so operational systems, event streams, and analytics share a common language.
From contracts to governance, we bridge engineering and data teams, reducing rework and keeping stakeholders aligned on definitions, lineage, and quality.
Domain models aligned with business capabilities and event flows.
Data contracts, lineage, and quality gates that keep systems trustworthy.
Warehouses and lakes structured for analytics, governance, and self-service.
Migration and rollout plans that evolve schemas without breaking delivery.
Map events, sources, and consumers to align models with business outcomes.
Define entities, contracts, and bounded contexts for operational and analytical needs.
Add validation, ownership, and lineage so teams trust the data they use.
Evolve schemas with dual writes, backfills, and toggles to minimise risk.
Document contracts, dashboards, and practices that keep models evolving.
Product analytics, regulatory reporting, data sharing with partners, modern data stacks, and platform modernisation projects that need trustworthy, well-governed data.
Tell us about your business on a discovery call.
We’ll discuss your goals, timescale and budget and any problems you’ve faced, to see how we can help.
Once we’ve analysed your project specifications we’ll discuss the proposed solution, identify the MVP and agree on an engagement model.
As soon as we’ve agreed milestones, we’ll get to work. We’ll track progress and regularly report updates.