Enterprise data & AI solutions
We help enterprises create reusable data products, put AI solutions into production and scale development across teams. We connect the architecture, engineering and ways of working needed to build on your existing data investments.
What we build
Data designed around clear business needs, with defined users, ownership and quality requirements. Built for reuse across analytics, AI and the applications your business runs on.
Reusable components, templates and environments, with automated testing, deployment and observability. We establish the engineering practices that help more teams deliver consistently as demand grows.
Clear ownership, shared definitions, cataloging, access controls and quality monitoring. We help people and systems find, understand and use trusted data, so teams can work independently without losing control.
We develop and modernise data and AI platforms around your business use cases and existing data estate. Cloud architecture, MLOps, model deployment, evaluation and governed data access provide the capabilities analytics, AI and digital products need to scale.
Streaming and event-driven architecture that connect changing business conditions to the systems that need to respond. Built for operations where yesterday’s data is already too late.
Let's talk
Scaling AI depends on how your data, systems and teams work together. See how reusable data products and connected architecture support that transformation.
From production
We have supported Helen's data platform and data-driven capabilities in an environment where real-time data, forecasting and operational flexibility matter. The work helps connect data, models and operational systems in support of a carbon-neutral energy system.
We supported OP in scaling data and analytics across business units with governance, access, cataloging, infrastructure scalability, autonomous development and community enablement.
Working with us
We design around your systems, operating model and regulatory requirements, with governance, cost and maintainability addressed from the start.
You get one team responsible for data, AI, and the digital systems that use them. No stitching vendors together at the seams where products usually fail.
Senior engineers stay involved from architecture to production, with fewer handovers and knowledge shared so your team can confidently operate.
Selected technologies
Architecture review
60 minutes. Bring your current architecture and the use cases you want to deliver. Leave with a recommendation on what to address next.
We connect data and AI with the digital products and industrial systems that put them to work.
Connect industrial data to the systems that keep your operations running.
Let's talk
A new data product, an AI use case or a bottleneck slowing your teams down. Tell us where you are and what you want to achieve. We’ll help you identify the next practical step.
