Data Intelligence Platform | QuadCentrix
Overview
The Data Intelligence Platform helps organisations understand and trust their own data. It has four modules: data discovery finds and catalogues what data exists and where; data quality checks it for problems; process mining shows how business processes actually run; and an AI context and governance layer gives agents business context and keeps their use of data governed. I designed the system and code architecture and the authentication approach, and I drive its delivery at QuadCentrix. The platform runs both on a client's own infrastructure and as SaaS.
Key Use Cases
- ✓Finding and cataloguing data across an organisation
- ✓Automated data quality assessment
- ✓Understanding how business processes really run, and where they slow down
- ✓Running AI over sensitive data on the client's own infrastructure
Technical Insights
Designed the system and code architecture for four modules (data discovery, data quality, process mining, and an AI context & governance layer), deployable both on-premises and as SaaS.
Built multiple data connectors that bring organisational data from different sources into the platform's PostgreSQL store.
Implemented headless authentication, keeping auth independent of the UI so the platform serves any frontend or client integration.
Built ETL and data pipelines in Python and SQL that ingest and prepare organisational data, giving the agents one reliable source to work from.
Built CrewAI crews with specialised agents and tools for each module, plus the context & governance layer that keeps agents' use of enterprise data governed.