End-to-end Data & AI consulting — from architecture and engineering through to analytics, AI agents, and strategic advisory. Everything you need to make data a competitive advantage.
Your data platform is the backbone of everything. We design and build cloud-native data architectures that are scalable, cost-efficient, and future-proof — whether that's a modern lakehouse on Microsoft Fabric, a cloud data warehouse on Snowflake, or a hybrid architecture spanning Azure and AWS.
From medallion architecture design to schema modelling, data governance, and security configuration — we handle the full stack so your teams can focus on insight, not infrastructure.
Azure Data Factory, Synapse Analytics, Azure Databricks, ADLS Gen2, Microsoft Fabric — we've delivered large-scale Azure solutions for enterprise clients.
Redshift, S3, Glue, Lambda, Lake Formation — cloud-native AWS data lake and warehouse architectures built for performance and scale.
Data vault modelling, Snowpark, data sharing, and enterprise Snowflake deployments — from initial setup to production-grade multi-cloud environments.
The future of Microsoft's data stack. We help organisations adopt Fabric's unified lakehouse, dataflows, and OneLake architecture ahead of the curve.
We design and deliver Power BI solutions that go beyond pretty charts — building semantic models, star schemas, and role-based security frameworks that give your teams trusted, self-service access to the data they need, when they need it.
Our BI engagements typically include semantic model design, DAX optimisation, report design, and training — ensuring your business owns the capability long after we're done.
Agentic AI is the next frontier — AI systems that don't just answer questions but autonomously plan, act, and learn. We design and deploy enterprise AI agents built on Azure OpenAI, AWS Bedrock, and leading LLM frameworks, integrated directly with your data and business systems.
From intelligent report generation to autonomous data quality monitoring and conversational analytics copilots — our Agentic AI practice helps you harness AI responsibly and at scale.
Natural language interfaces to your data — let business users ask questions in plain English and get instant, accurate answers.
AI agents that monitor data quality, detect anomalies, and alert — without human intervention in the loop.
Extract structured data from unstructured documents — contracts, reports, invoices — using RAG-powered AI pipelines.
Machine learning models embedded into your workflows — churn prediction, demand forecasting, equipment failure detection.
You can't build great analytics on bad data. We design and build robust ELT/ETL pipelines, data integration frameworks, and real-time streaming architectures that ensure your data is accurate, timely, and available across your entire organisation.
Not sure where to start, or concerned you're investing in the wrong direction? Our strategy practice helps organisations assess their current data maturity, define a vision, and build a practical, prioritised roadmap that delivers value fast.
We combine deep technical expertise with business acumen — translating data opportunities into language your executive team can act on, and your IT team can build toward.
A structured assessment of your current data capability across people, process, technology, and governance — with clear recommendations.
Objective advisory on technology selection — Azure vs AWS, Snowflake vs Fabric, Power BI vs Tableau — based on your specific context.
Data cataloguing, ownership, access control policies, and master data management — the foundation for trusted data at scale.
Build your internal analytics capability through structured training, CoE establishment, and self-service enablement programs.