Services
Human Centered
Innovation
We are a data and AI company built on the belief that innovation should be as intelligent as it is ethical, and as powerful as it is personal.
Our services are designed to help companies harness the full potential of data and AI, while keeping people at the centre of every solution. From foundational data strategies to advanced AI applications, we partner with you to design, build, and scale systems that are not only technically robust but socially responsible.
Whether you’re launching a new AI product, optimising your data infrastructure, or embedding ethics into your systems and practices, we provide end-to-end support to transform your vision into impact, responsibly, sustainably, and at speed.
Explore our core service areas below:
Professional Services
- Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines or Fabric Data Pipelines.
- Implement real-time and batch ETL processes with Azure Stream Analytics and Event Hubs.
- Optimise and manage data lakes and warehouses with Microsoft Fabric (OneLake), Azure Synapse, and Azure SQL.
- Leverage Azure SQL Database and Managed Instances for transactional data processing and structured storage.
- Enable data governance, lineage, and security via Microsoft Purview
- Develop interactive business intelligence solutions using Power BI, Synapse Analytics, and Azure SQL.
- Implement real time analytics for operational insights using Azure Stream Analytics and Kusto (ADX).
- Utilize Microsoft Fabric Warehouse for OLAP workloads and scalable structured data reporting.
- Automate self-service reporting and insights using Power BI Copilot and AI-driven analytics.
- Build predictive modelling and statistical analysis using Azure Machine Learning, Fabric ML and python programming.
- Leverage AutoML, hyperparameter tuning, and model explainability for optimal performance.
- Develop forecasting, anomaly detection, and optimisation models for business applications.
- Deploy scalable data science solutions via MLOps, Azure ML Pipelines, and AKS (Azure Kubernetes Service).
- Train, test, and deploy custom machine learning models with Azure ML, AzureOpenAI, and SQL Server ML Services. Fine-Tuning AzureOpenAI base models with Reinforcement Learning from Human Feedback (RLHF).
- Integrate AI into business workflows using Power Platform AI Builder and Azure Cognitive Services.
- Enable AI-driven automation and decision-making with AI-powered copilots and chatbots.
- Deploy AI at scale with MLOps, ensuring monitoring, retraining, and version control of models.