DSharp PathFinder is an AI-assisted discovery and structuring layer for data warehouse builders and consultants.
It helps you turn unfamiliar published assets (views, semantic models, KPI definitions, reports) into a coherent, build-ready foundation by curating scope, clarifying semantics, and validating relationships using metadata. Modeling and implementation take place in DSharp Studio.
Published layers don’t ship value either.
Trusted products do.
Most teams already have “published” assets, but meanings drift, relationships stay implicit, and every change triggers new rounds of interpretation. That’s where delivery slows down and semantic debt piles up.
What PathFinder does
- Start small: pick the few published assets that matter for the first delivery (then expand)
- Make it readable: AI proposes names, descriptions, and attribute labels—you approve
- Confirm relationships: suggested links from metadata patterns (accept/reject)
- Hand off to Studio: a clean, structured foundation ready to implement and expand safely
Why is it different
Catalogs help you browse. Diagram tools help you draw. Chat helps you ask.
PathFinder helps you turn the published layer into a build-ready, governed foundation faster, with less rework, so Studio can implement with confidence.
Who is it for
Data warehouse engineers, modelers, architects, and consultants who need repeatable delivery across clients.
Interested in hearing more? Book a meeting with us!
Want to reuse what you already publish so reporting and applications stay consistent, and delivery cycles shorten?
Book a short session, and we’ll show how to get started.



