Cloudbuilder
A data platform practice. Principal-led. Built in production, handed over running.
Databricks and Azure-native delivery. Governed AI. The engagements that hold under real load and regulator scrutiny.
What we build
Three product lines. One practice.
Cloudbuilder builds data platforms, governed AI on top of them, and offers principal-led consulting around both. Every engagement runs in your environment, on your data.
Data Platform
Production-grade Databricks Lakehouse and Azure-native pipelines.
Built in your environment, on your data. Medallion architecture, quality gates, and lineage from day one. The platform performs under real load in regulated industries.
Explore the data platformGoverned AI
AI built on the platform — designed for environments where the regulator is watching.
Audit trails, deterministic replay, defined roles. Every decision traceable. The mechanism that supercharges the data platform without forfeiting governance.
Explore governed AIConsulting
Principal-led delivery, end to end.
The architect designs, builds, runs, and hands over. No rotation, no vendor agenda. Available directly or via Toptal and Cord.co.
How we engageWhere it has run
Production engagements across regulated and commercial sectors.
The practice has delivered for British Car Auctions, Castle Trust Bank, Heathrow Airport, David Lloyd Leisure, Mindshare, and Wates Construction in commercial industries. In public sector and regulated bodies: NHS Property Services, The Pensions Regulator, Royal College of Surgeons, the Charity Commission, and the MHRA.
Financial services, regulated infrastructure, high-volume marketplace analytics — the engagements that require the platform to hold under real load and regulator scrutiny.
Engagement model
Production-grade delivery. Governed by design.
The platform runs in your environment, on your data. Audit trails, deterministic replay, and lineage are built in — not bolted on. Principal-led from scope to handover.
Scope
A direct conversation about what you are trying to build, the data, the governance, and the constraints. Outcome: an architecture and a delivery plan that fit the environment, not a templated proposal.
Build
Production-grade delivery on Databricks Lakehouse and Azure-native pipelines, deployed in your environment, on your data. Quality gates and lineage from day one. Audit trails and deterministic replay built in.
Govern
Governance is the design contract, not a phase at the end. Every transformation traceable, every decision auditable. The platform is built to satisfy regulator scrutiny without rework.
Hand over
The platform runs in production, governed end to end. Documentation, monitoring, and runbooks in place. Your team takes ownership; the practice steps back.
Start an engagement
Two ways in.
Scoping conversation
Book a scoping conversation.
Thirty minutes with the founder. No pitch deck, no pre-sales process — just a direct conversation about what you are trying to build and whether the architecture fits.
Book a conversationPilot evaluation
Request a pilot evaluation.
A 30-day production-grade engagement on your data, in your environment. The platform is built to run, governed by design, and handed over running. Pilot scoping happens in the first scoping conversation.
Request a pilotSourcing through a platform? Cloudbuilder is available via Toptal and Cord.co.