AI is only as trustworthy as the data it is built on

We take enterprise data from strategy to production AI: master data, governance, integration, architecture and AI delivery.

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Five steps take each data domain from discovery to scale

Fix the foundation first, one domain at a time. Each step ends in something you can hold, and the last one starts the next domain.

  1. 1

    Discover

    Profile the sources and agree what a customer is.

    Output Data profile

  2. 2

    Design

    Set match rules, ownership and quality thresholds.

    Output Target model

  3. 3

    Build

    Configure the golden record and the pipelines.

    Output Working release

  4. 4

    Prove

    Test with business users and tune the rules.

    Output Signed-off results

  5. 5

    Scale

    Repeat the pattern for the next domain.

    Output Domain playbook

Read the full approach

Six capabilities carry the work from strategy to production AI

  • Strategy

    Data and AI vision, business case and roadmap.

  • Master data

    Entity resolution and golden records.

  • Governance

    Ownership, policy and data quality that hold.

  • Integration

    Pipelines and APIs across systems.

  • Architecture

    Target platform design and build.

  • AI delivery

    Models and agents on trusted data.

Read about our services

We resolved 100M+ customer records into one authoritative record across thousands of franchise locations

A multi-brand salon franchise operator had no single view of its customers. Every location kept its own records.

100M+
Customer records resolved in the initial load
Thousands
Franchise locations integrated
Four-digit
API calls per second sustained at peak, design target

Read the case study

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