Before building, we plan. This foundational service provides a comprehensive audit of your current data landscape, systems, and business objectives. We define a tailored, pragmatic roadmap to ensure your data infrastructure is properly structured, governed, and integrated—making it truly ready for high-impact AI and Machine Learning initiatives. This includes technology recommendations, governance frameworks, and prioritising the most valuable AI use cases.

Unlock the value hidden across your organisation. We specialise in building robust, scalable pipelines to extract data from disparate sources (CRMs, ERPs, APIs, databases, files, etc.). Our focus is on creating a unified, reliable source of truth by designing and implementing efficient ingestion processes that handle massive data volumes and varying data types, ensuring data quality from the start.

Stop waiting for batch updates. This service focuses on implementing Change Data Capture (CDC) and real-time streaming architectures to capture and deliver data changes the moment they happen. We move your operational data into the warehouse in milliseconds, enabling genuine real-time analytics, instantaneous business insights, and feeding fresh, up-to-the-minute data directly into your critical data processes.

We design, build, and optimise the destination for your mission-critical data. Leveraging cutting-edge cloud technologies, we engineer scalable and cost-effective Data Warehouse and Data Lakehouse solutions. This service focuses on optimal schema design, ELT/ETL workflow development, security, and performance tuning to ensure your platform can handle the scale and complex queries required for advanced analytics.

The performance of your AI models depends entirely on the quality of their input. This specialised service focuses on transforming raw data from your warehouse into the powerful, structured features that drive accurate AI. We implement rigorous data cleaning, enrichment, normalisation, and aggregation processes, creating high-value feature stores designed explicitly to accelerate model training, reduce deployment time, and maximise AI performance.

Turn static models into dynamic, revenue-driving assets. We help you move from the lab to production by implementing robust Machine Learning Operations (MLOps) practices. This includes setting up automated model training, version control, continuous integration/continuous deployment (CI/CD) pipelines, and continuous monitoring to ensure your AI models are always running optimally, delivering reliable predictions, and automatically retraining on the live data flowing from your CDC pipelines.