Five practices across two disciplines — AI engineering and the data platform it stands on — delivered by principal architects with twenty-plus years of hands-on work. No junior bench.
AI engineering
AI systems designed, shipped and run in production — on Claude and the Azure AI stack.
We build agentic systems end to end: assistants grounded in your enterprise data through retrieval, agents that automate document-heavy and operational workflows, and the evaluation and guardrails that make them safe to run in production.
The road from notebook to production: model deployment and serving on Azure, vector search over governed data, monitoring and cost control — alongside the classic ML we have always done, from forecasting and optimization to graph neural networks grounded in graduate-level research.
Data platform
The foundation the AI stands on — warehouses, reporting and pipelines your company can agree on.
A warehouse should be the one place your company agrees on the numbers. We architect and build them — migrating legacy on-premise estates or tuning cloud-native ones — with security, performance and cost engineered in from day one.
A report only works if people trust it enough to act on it. We build dashboards in Power BI, Tableau and SAP Analytics Cloud, and set up self-service so decision-makers answer their own questions — no ticket required.
Your ERP, CRM and custom applications disagree with each other every day. We design ETL/ELT pipelines and API-led architectures that keep them telling the same story, in real time.
PGR Sonar automates governance, FinOps and capacity monitoring for Power BI and Microsoft Fabric — no consulting engagement required.
A full warehouse revamp or one stubborn pipeline — describe it, and we'll tell you how we'd approach it.