Quantametis builds the analytical foundations that allow organisations to move from data-rich to decision-ready. Whether you are structuring your data estate for the first time or deploying AI agents at scale, we bring the rigour of data science and the pragmatism of commercial operators.

What We Do

  • Data Strategy and Roadmapping Defining your data vision, governance model, and architecture blueprint, aligned to commercial priorities.
  • AI-Native Use Case Development Prototype to scaled deployment: identifying high-value AI use cases, building production-grade models, and embedding intelligence into business workflows.
  • LLM and AI Agent Implementation Deploying large language models and autonomous agents: retrieval-augmented generation (RAG), document intelligence, and process automation, built for enterprise governance.
  • AI Experimentation Frameworks Structured test-and-learn environments that allow organisations to evaluate AI interventions before committing to full deployment.
  • Value Leakage Analytics (VIC / VLC) Identifying vendor invoice compliance gaps and value leakage through deep spend and contract analytics.
  • Working Capital Optimisation (DPO) Data-led models to improve Days Payable Outstanding and optimise cash flow across the procure-to-pay cycle.
  • Cost-to-Serve Visibility Granular analytics across delivery channels, customers and product lines to surface true margin performance.
  • Dashboard and Visualisation Development Executive and operational dashboards built for decision-making, not just reporting.
  • Master Data Management (MDM) Vendor, material, and customer master cleansing, deduplication, enrichment, and governance framework design.
  • Data Lake Structuring for AI Readiness Architecture and data pipeline design to ensure your data infrastructure supports downstream AI and analytics workloads.
  • Azure Cloud Delivery End-to-end delivery on Microsoft Azure, from data factory and Synapse to AI Studio and Fabric.

Who It Is For

This service is designed for:

  • Chief Data Officers and analytics leaders seeking a structured path to AI readiness
  • CFOs and procurement heads who suspect value is leaking from their P2P process
  • Operations teams that have data but lack the models to convert it into decisions
  • Organisations on Azure seeking a trusted delivery partner from pilot to production