Data & AI
Machine Learning Engineering
Models trained, deployed and monitored as production systems.
Feature stores, training pipelines, deployment and drift monitoring for forecasting, ranking and classification workloads.
Who we help
Industries we deliver this for
Banking & Fintech
Core modernisation, payments and regulated product delivery.
Healthcare & Life Sciences
Clinical and patient systems built around privacy obligations.
Retail & E-commerce
Storefronts, order orchestration and unified inventory.
Logistics & Supply Chain
Visibility, planning and execution across the network.
Energy & Utilities
Field operations, asset data and grid-adjacent systems.
Proof
Related work
Cobalt Bank
Core banking modernisation cuts settlement time by 71%
A regional bank replaced a batch settlement process with an event-driven ledger, without a single unplanned outage.
Meridian Health
Patient portal rollout reaches 240k active users in six months
A hospital group consolidated four patient-facing systems into one accessible portal.
Northwind Retail Group
Unified commerce platform lifts conversion 34%
Headless replatforming across 9 markets with a shared inventory view.
Next step
Talk to us about machine learning engineering
Tell us the shape of the problem. A principal engineer joins the first call.