Industries

Trusted where reliability isn't optional.

Regulated, high-volume, and audit-heavy environments are our default assumption — not an edge case we retrofit later.

Financial Services

Risk and regulatory reporting, real-time exposure, and AI copilots that can show their working under audit.

  • • Regulatory reporting platforms
  • • Streaming risk & fraud pipelines
  • • Explainable AI with lineage

Healthcare & Life Sciences

Patient and trial data handled with consent, de-identification, and residency controls built into the platform.

  • • PHI-safe data platforms
  • • Clinical & operational analytics
  • • Document AI over protocols

Public Sector

Sovereign Kubernetes and open lakehouse stacks that satisfy residency, procurement, and exit requirements.

  • • Sovereign & air-gapped platforms
  • • Open standards, no lock-in
  • • Transparency & audit evidence

Retail & E-commerce

Unified customer and inventory views, demand signals, and merchandising agents that act on live data.

  • • Customer 360 & identity graph
  • • Demand & inventory analytics
  • • Conversational commerce agents

Energy & Utilities

Sensor-scale ingestion, asset ontologies, and forecasting that survives contact with messy field data.

  • • IoT & telemetry pipelines
  • • Asset knowledge graphs
  • • Forecasting & optimisation

SaaS & Technology

Product analytics, multi-tenant data isolation, and AI features shipped without blowing up unit economics.

  • • Multi-tenant data architecture
  • • Embedded analytics
  • • AI feature cost modelling

Selected outcomes

What good looks like after the engagement.

72%

Faster regulatory close

Tier-2 bank moved monthly reporting from spreadsheets to a governed lakehouse with tested models.

6x

More dashboards retired than rebuilt

Retail group rationalised 1,400 reports to 230 certified assets during a Tableau-to-Power BI migration.

38%

Lower platform spend

Cloud-agnostic Kubernetes plus rightsized warehouses cut run-rate without reducing capability.

Common questions

Yes — most of our work involves data residency, access control, and audit requirements. We design for them from the first architecture session rather than bolting controls on later.

Absolutely. Many engagements begin with one BI migration or one agent use case, then expand into the underlying data and platform layers once value is proven.

You do. Everything is delivered into your repositories and cloud accounts, with documentation and handover built into the final phase.

A short discovery, then fixed-scope delivery phases with weekly demos. Your engineers work alongside ours so capability transfers as the system is built.

Your sector, your constraints.

Tell us the regulation, the deadline, and the legacy system. We'll tell you what we'd build.

Talk to us