One lakehouse for all your data — and the AI on top of it.
Databricks unifies data engineering, warehousing and AI in one platform — but only if it's architected right. We design the lakehouse, migrate your pipelines, and get governed, production-grade data and ML live without the enterprise price tag.
The platform is powerful. The architecture is where it goes wrong.
Databricks can run your entire data and AI workload — but a poorly designed lakehouse burns compute, blocks governance, and leaves ML stuck in notebooks. A partner who has architected it before gets you to production without the costly detours.
Runaway compute cost
Un-tuned clusters and bad partitioning quietly multiply your bill until finance starts asking questions.
No governance
Without Unity Catalog set up right, access, lineage and compliance become a liability instead of a strength.
AI stuck in notebooks
Models get prototyped but never productionised, so the platform never returns on its investment.
A governed lakehouse, built for production.
Lakehouse architecture
A medallion (bronze/silver/gold) design tuned for your workloads — reliable, queryable and built to scale.
Pipeline migration
We move ETL/ELT off legacy warehouses and scripts into Databricks with Delta Lake, without breaking production.
Unity Catalog governance
Access control, lineage and compliance set up from day one so data stays governed as you grow.
Cost optimization
Cluster policies, autoscaling and partitioning tuned to keep compute spend predictable and low.
ML & AI in production
Models moved out of notebooks into governed, monitored production pipelines — and AI agents on top.
BI & self-serve analytics
Databricks SQL and dashboards wired to the gold layer so every team gets trustworthy, self-serve data.
A proven path onto the lakehouse.
Assess & architect
We audit your data landscape and design the lakehouse, governance model and migration scope.
Build & migrate
Stand up Databricks, migrate pipelines to Delta Lake, and validate data end-to-end.
Govern & optimize
Configure Unity Catalog, tune clusters for cost, and lock in monitoring and lineage.
Activate
Ship BI, ML and AI workloads on the gold layer, and train your team to run it.
8× faster analytics on a unified, cost-efficient stack.
Scrut partnered with Optiblack to unify a fragmented analytics setup — cutting query times dramatically and freeing their engineers from pipeline maintenance to focus on the product.
We build lakehouses that pay for themselves.
We architect for cost and governance from day one, migrate without breaking production, and put the data to work — dashboards, ML and AI agents on top — so Databricks earns its keep quickly.
Architecture-first
We design for cost, governance and scale before writing a single pipeline.
Migration without downtime
Proven moves off legacy warehouses and scripts, validated at every step.
Cost-efficient by design
Cluster tuning and partitioning that keep compute spend in check — like the 80 days we saved Scrut.
Data + AI under one roof
The same team that builds the lakehouse builds the ML and AI agents on top.
We stay on
A dedicated team that maintains, governs and extends the platform as you grow.
Build the lakehouse right the first time.
Book a 15-minute call and we'll map your architecture, migration plan, and the first workloads Databricks should power.
Plan my Databricks build →