TECHNOLOGY.
We master the technology. We are not limited by it
We are technology agnostic by design, combining deep expertise across cloud platforms, enterprise technologies and open-source ecosystems. This allows us to select and integrate the right capabilities for each organisation, without being constrained by a preferred vendor, platform or predetermined technology stack.
Technologies, platforms and market leaders will continue to evolve, but strong data foundations remain essential. We design scalable architectures, reliable data pipelines and well-governed models that support current priorities while giving organisations the flexibility to adapt, modernise and grow as new technologies emerge.
STRATEGY. PLATFORMS. OPEN ECOSYSTEMS.
Technology That Serves the Business
Technology should serve the business, not define its limits. We select platforms and design architectures around each organisation’s objectives, existing ecosystem and future ambitions. Combining leading cloud platforms with open technologies, we build scalable, flexible and cost-effective data environments that deliver greater control, reduce unnecessary dependency and evolve as business needs change.
DATA. STRATEGY.
Choosing technology around the business, not the other way around
Strategy Before Stack. Every strong data ecosystem starts with the right strategy and architecture. We assess business objectives, existing capabilities, data volumes, operational requirements and total cost before recommending a technology direction.
Our expertise in data architecture, engineering, integration, modelling and governance remains independent of individual platforms. This enables us to modernise existing environments, combine different technologies and design solutions that can evolve without unnecessary dependency on a single vendor.
CLOUD. DATA. PLATFORM.
Building scalable data ecosystems across the leading cloud platforms
We design and implement modern data platforms across the leading cloud and enterprise ecosystems. Our approach considers business objectives, existing capabilities, scalability requirements and operational realities to select the right services, creating secure, resilient and cost-effective foundations for analytics, intelligence and AI.
Our experience spans Microsoft Azure, Fabric, Power BI and the wider Microsoft data ecosystem; Google Cloud and BigQuery; AWS analytics, storage, processing and integration services; and Snowflake cloud data platforms. We work within individual ecosystems or combine technologies where a cross-platform architecture creates greater value.
OPEN. COMPOSABLE. DATA ECOSYSTEMS.
Open technologies. Flexible architectures. Greater control
Open-source technologies are central to our capabilities, enabling us to build powerful, interoperable and cost-efficient data ecosystems. They give organisations greater control over architecture, deployment and long-term evolution, while reducing unnecessary dependencies and providing the flexibility to adapt as requirements change.
Our experience includes technologies such as Kafka for real-time streaming, Apache NiFi for data integration, PostgreSQL for reliable storage, Airflow for orchestration, ClickHouse, Spark and dbt, among many others. We design complete open-source platforms or combine these technologies with Microsoft, AWS and Google Cloud ecosystems.