What we build
Data lake and lakehouse
One governed home for structured and unstructured data, with storage that scales and costs you control.
Batch and streaming pipelines
Ingestion from databases, applications, files and logs, IoT devices and APIs.
Governance and security
Data catalog, metadata management, access control, data quality and compliance.
Analytics and AI enablement
Prepared data for BI, data science and machine learning teams.
Real-time applications
Event-driven applications and live dashboards that act on data as it arrives.
Operations and support
Monitoring, tuning and support so the platform stays reliable after go-live.
One architecture, from source to decision
Sources feed an ingest, store, process, catalog and govern pipeline. The same governed data then serves reports, data science, machine learning and applications.
A foundation of cloud or on-premise storage, scalability, high availability and cost optimisation sits underneath.
How we deliver
Discover
Map your data sources, users and decisions.
Design
Agree the architecture, governance model and roadmap.
Build
Deliver pipelines and the first use cases in short cycles.
Operate
Run, monitor and extend the platform with your team.
Observability partner. WhaTap is an observability platform that monitors applications, servers, databases, Kubernetes clusters and networks from one place, with log monitoring and support for AI workloads. We use it to keep the platform and its pipelines healthy after go-live.