Customer Data Orchestration System (CDOS)

The foundation every AI system wishes it had

LLMs can’t fix messy data. CDOS can. It’s the layer that connects, cleans, and normalizes every source (e.g. CRM, call transcripts, retail sell-out, survey data, data tables), into a versioned, analysis-ready schema. Unlike traditional ETL or reverse-ETL tools, CDOS doesn’t just move data; it harmonizes semantics and structure, tagging every column with relational metadata so models and analysts both understand context.

Where Structure Meets Intelligence

Schema-aware Normalization Built For AI

CDOS standardizes every input—structured or unstructured—into a consistent, explainable schema designed for reasoning, not just query execution

Governed Lineage for Reproducible Insight

Every transformation, source, and version is tracked—so outputs are auditable, explainable, and easy to rebuild when your model or metric definitions change

A Single Truth Across The Stack

CDOS feeds AnalyzeDB, Pattern OS, and Market OS with synchronized, trustworthy data—ensuring every analysis runs on the same, verified foundation

The Infrastructure Advantage

Everyone’s racing to add AI. Few can trust their data

The next moat isn’t another model—it’s the data foundation it runs on. CDOS gives enterprises that operational backbone in weeks, not quarters—unifying pipelines, governance, and readiness in one deployable system.

Clean Data Is A Competitive Edge

CPG

Harmonize retail, media, and research data across brands and regions to enable portfolio-level intelligence and consistent attribution

Technology & SaaS

Merge product telemetry, CRM, and revenue data into a single, analyzable schema—powering cross-domain insights, forecasting, and adaptive reasoning

See what your data's been hiding

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