Data, Analytics & AI

Turn enterprise data into trusted business intelligence.

SEPIA helps organisations build secure, scalable data platforms and transform complex information into meaningful business insight.

Colleagues reviewing a data platform architecture diagram on a wall screen.
Before the model

Everyone wants the intelligence. Someone has to lay the plumbing.

Pipelines, lineage, quality rules, access control — the unglamorous half that decides whether an answer can be trusted at all. We build that layer first, then put the models on top of it.

See it running in production →
01

The platform comes first.

Data strategy and architecture, engineering, integration and migration, lakes and warehouses, ETL and ELT pipelines, cloud platforms, quality and governance, and business intelligence.

ETL and ELT pipeline developmentData strategy and architectureData engineeringData lakes and warehousesCloud-based data platformsData quality and governanceBusiness intelligence and visualisation
02

Then the intelligence.

Predictive analytics, machine learning, natural language processing, generative and agentic AI, enterprise assistants and intelligent workflow automation.

Generative AI solutionsAgentic AI solutionsPredictive analyticsMachine learningNatural language processingEnterprise AI assistantsIntelligent workflow automation
03

A model in production is a system you have to run.

We monitor and govern models the way we govern a security platform — with ownership, reporting and an audit position. A model that nobody owns is a risk, not an asset.

Model monitoring and governanceSecure AI implementation

From fragmented data to intelligent decisions, we design and manage the platforms underneath.

Related

SAP Services

SAC and Datasphere overlap directly.

Cloud & AWS

The platforms underneath.

Managed Services

How models stay governed after launch.

Let’s take ownership together.

Tell us what you need done. We will tell you what we would take on.