Data Services
AI is only as good as the data under it.
We build the pipelines, platforms, and quality your AI systems depend on — and make the data you already have usable for what you want to build next.
The sprint includes technical feasibility and data requirements — you'll know exactly where your data stands
What we build
Data Engineering
Pipelines and integrations that move your data reliably — batch and real time — from the systems you run to the places it creates value.
Data Platforms
Warehouses, lakehouses, and the plumbing around them — designed for the questions your team actually asks.
Data Readiness for AI
The gap between “we have data” and “AI can use it”: quality, structure, access, and retrieval where it earns its place.
Analytics & BI
Dashboards and metrics your team trusts — one version of the truth, wired to decisions.
MLOps
Deployment, monitoring, evaluation, and retraining — the operations layer that keeps models honest in production.
Proof
Data platform engineering for Oxford Economics — architecture decisions that held up as the platform grew.
The architecture and design choices that sophilabs made at the outset really paid off handsomely.