Guide
What is Neuroplastiq?
Neuroplastiq is a system for developing a common data model from fragmented source systems, with AI-powered suggestions and human review. It scans your source systems, proposes entities, attributes, definitions and relationships, and gives your team a structured model to inspect, refine and approve.
What problem does Neuroplastiq solve?
Most organisations hold the same customers, products and transactions in several systems, each described differently. Before those systems can be integrated, analysed or used by AI tools, someone has to work out what each field means and agree a shared definition.
That work usually happens by hand, through source exploration, spreadsheets, meetings and document reviews. Neuroplastiq gives teams a proposed model to start from, so the discussion is about a concrete draft rather than a blank page.
How is Neuroplastiq different from an ETL or connector tool?
ETL, ELT and connector tools move data. Neuroplastiq focuses on what the data means: the shared definitions that integrations, analytics and AI tools depend on. It works alongside the ingestion and transformation tools you already run.
What Neuroplastiq does not do
- It does not apply changes to your model without a person approving them.
- It does not replace dbt, your ingestion tools or your warehouse.
- It does not decide business meaning for you. It proposes, and your team decides.
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Content owner: Gareth Sutton. Last reviewed .