Capability

Data & AI

We build data platforms your team can run, trust, and explain to a regulator. Good analytics and useful AI depend on getting that part right.

Talk to the Data team See what we deliver

Reliable data, trustworthy AI

Data & AI Practice

Most organisations already have plenty of data. The trouble is usually that nobody fully trusts it. Numbers differ between reports, nobody’s sure where a figure came from, and the access rules live in someone’s head. AI projects tend to make this worse, because they need clean, governed data and they expose every gap.

So we start with the platform and the governance around it, then build reporting and models on top. That covers warehouses and lakehouses, pipelines, catalogues, access policy, and machine learning in production, from fraud models in banking to forecasting and geospatial analysis.

**Sakura Sky: Data & AI Practice Introduction**AI-generated overview

What we deliver

What your team keeps when the work is finished. Each engagement is scoped, so you might only need some of these. They’re in order, because each area builds on the one before it, and AI comes last for that reason.

Foundation

Cloud data platform

A cloud warehouse or lakehouse built to serve reporting and AI from the same data. We move your existing workloads across and set up modelling, a catalogue, and orchestration, so you don’t have to rebuild it when the AI projects start.

Built by Data & AI Cloud

Read The Medallion Architecture in a Data Lakehouse

Foundation

Streaming and batch pipelines

The pipelines that bring data in and keep it current, from real-time streams to overnight loads. They’re defined in code and monitored, so a failed load is noticed by the platform before anyone sees it in a board report.

Built by Data & AI

Read Telemetry Is Becoming the Business

Governance

Catalogue and lineage

A catalogue that helps people find the data they need, with lineage showing where each dataset came from and what depends on it. When an auditor asks where a number came from, you can show them.

Built by Data & AI

Read Chain of Custody for Trial Data

Governance

Labelling and access rules

Sensitive data is labelled, and the rules about who can see it are written in code and enforced by the platform. Our Security practice designs the policy model with us, so the same rules apply to analysts, applications, and AI agents.

Built by Data & AI Security

Read Zero Trust in Data Lakehouses

Insight

Dashboards and self-service reporting

Dashboards and self-service reporting built on one agreed definition of each metric. We set them up so a person reading a chart and an AI tool answering a plain-language question get the same number.

Built by Data & AI

Read Why Most Marketing Dashboards Lie

Insight

Real-time analytics

Streaming data turned into live views of the operation, for the decisions that can’t wait for tomorrow’s report: stock levels, audience numbers, fraud signals, or equipment on a mine site.

Built by Data & AI

Read Audience Telemetry as a Strategic Asset

Data access for AI agents

Governed access for AI agents: what each agent is allowed to read and do, the metadata it needs to understand your data, and a record of what it touched. Agents work from trusted data, and the business can stand behind what they decide.

Built by Data & AI Security

Read Your Ontology Is the Asset. Stop Renting It Back.

Machine learning in production

Models running in production, with the monitoring and retraining that keep them useful after launch. Past work includes fraud and risk models in financial services, geospatial analysis of satellite and sensor data, and time-series forecasting.

Built by Data & AI

Read Handling Missing Data in Financial Models with Multiple Imputation

Open models on infrastructure dedicated to you

Open-weight language models chosen for your task and served on GPU infrastructure dedicated to you, with retrieval over your own data, spend controls, and an upgrade path as better models arrive. By default, prompts and outputs stay in your environment.

Built by Data & AI Cloud Managed Open Models

Read Sakura Sky and UpCloud: A European Cloud Partnership

Model register and AI documentation

A register of the models and agents you run, where their training data came from, and the guardrails around them. It supports EU AI Act conformity assessments, and Sentinel maps it to NIST AI RMF and ISO/IEC 42001.

Built by Data & AI Security Sentinel Praxis

Read AI Safety Assurance Is Still Goodwill, Not Evidence

How we work

How each capability is designed, built, managed, and governed, and which of our service lines does each part. Most engagements start with a short assessment.

CapabilityDelivered through	DesignProfessional Services: Assessment & Roadmap	BuildProfessional Services: Delivery Engagement	ManageManaged Services: co-managed, hybrid, or fully managed	GovernManaged GRC: evidence for EU, US, and international frameworks
Foundation	Design A sprint that gets analytics running on a modern warehouse. Accelerate: Data Platform Build	Build Warehouse or lakehouse, pipelines, and orchestration. Data Engineering & AI Enablement	Manage We run the pipelines and keep them current. DataOps & Pipeline Orchestration	Govern Lineage from source system to report.
Governance	Design Map what data you hold and where it flows.	Build Catalogue, lineage, labels, and access rules.	Manage Controls watched as your systems change. Security-Driven Operations & Compliance	Govern EUGDPR Article 32 and the EU Data Act, through PraxisUSNIST CSF 2.0 and ISO 27001, through Managed GRC
Insight	Design Agree what each metric means.	Build Dashboards and reporting built on those definitions.	Manage We run the reporting platform. Managed Services	Govern
AI	Design A sprint that builds a working model. Accelerate: AI/ML Prototyping	Build Models in production, with guardrails from Sentinel. Sentinel	Manage We run your models and agents in production. MLOps & AI Agent Operations and Managed Open Models	Govern EUAI Act documentation, through PraxisUSNIST AI RMF and ISO/IEC 42001, through Sentinel