Platforms
Your stack, not ours.
We are model-neutral by policy, with no exclusive vendor incentives. If you have already chosen a platform, we build on it. If you have not, the recommendation follows a diagnostic of your estate, your workloads and your team, not a reseller margin.
Platforms we work on
Find the page that matches your stack.
Platform we build on
Databricks
Lakehouses, pipelines and governed data foundations, built from what already works and engineered to carry analytics and AI.
View platform →Source system
SAP
Finance, supply chain and operational data from SAP, brought into a governed platform where analytics and AI can use it.
View platform →Source system
UKG
Workforce, scheduling and payroll data from UKG, joined to finance and operations with access controls designed in.
View platform →Partner
Microsoft Fabric and Azure
Foundations on Microsoft Fabric and Azure data services, with Power BI on top. See our Microsoft partnership.
Platform we build on
Snowflake
Foundations on Snowflake when the diagnostic says it fits your workloads, your footprint and your team.
Platform we build on
AWS
Data and AI workloads in your own AWS accounts, built to be run by your team after handover.
Model-neutral by policy
The diagnostic picks the platform.
Most platform projects begin by asking what to build. We begin by asking what not to rebuild. The choice between Fabric, Databricks and Snowflake is made on the evidence: your existing cloud footprint, the workloads the platform has to carry, and what your team can run.
- No exclusive vendor incentives behind a recommendation
- Your cloud, your accounts: what we build is yours to run
- Keep, fix or build on every component, each call handed over with its reason
- Source systems stay: ERP and workforce platforms feed the foundation rather than being replaced by it
Selling one of these platforms? See how we work with partner teams.
Related practices
The practices behind this work.
Next step
Tell us what you run, and what it has to carry.
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