Metric Oak

Enterprise AI doesn't start with the model. It starts with the data. Fragmented systems, unreliable pipelines, poor governance and rising infrastructure costs are what prevent organisations from scaling AI successfully. Metric Oak engineers the data platforms that make enterprise AI possible. We bring senior data engineering expertise, structured delivery and measurable outcomes to complex data challenges. What We Do 1. Data Platform Assessment A 3-week, fixed-fee assessment covering architecture, data quality, infrastructure costs and scalability, delivered with a prioritised and costed roadmap. 2. Cloud Data Migration Modernise legacy data warehouses and infrastructure with migration to Databricks, Snowflake or Microsoft Fabric, backed by parallel-run validation. 3. Enterprise Data Platform Engineering Build reliable, scalable data infrastructure with infrastructure as code, tested pipelines, orchestration and clear operational ownership. 4. AI-Ready Data Infrastructure Prepare governed, high-quality and retrievable data foundations for Generative AI, RAG applications and autonomous agents. 5. Data Quality & Governance Implement data contracts, lineage, access controls and monitoring to improve trust, traceability and audit readiness. 6. Cloud Cost Optimisation & Managed Data Platforms Reduce unnecessary infrastructure spend, improve platform performance and ensure long-term operational reliability. Industries We Serve Financial Services & Fintech B2B Marketplaces & E-commerce Healthcare & Life Sciences Start With Your Data Architecture Understand where your data infrastructure stands, identify what's holding it back and get a practical roadmap for what comes next. Book a complimentary 30-minute architecture review: https://metricoak.com/book Metric Oak: Building the Data Foundations for Enterprise AI.