AI-assisted data modeling that powers agentic engineering with governed, connected context.
Define meaning once, then generate data models, semantic models, docs and code. All in an afternoon.
Snap Data Studio is a collaborative AI-assisted data modeling workspace. It replaces manual diagramming, scattered documentation and ad hoc prompts with a guided, reviewable workflow that generates data models, documents and code from the same approved business context.
Most modeling tools stop at the diagram.
The business context used to create the model is rarely carried into the documentation, semantic models, data contracts and code that depend on it.
Architects and engineers spend weeks translating workshop output and source schemas into models by hand, with quality depending on a small number of experts. Projects either stall or move forward without enough rigour, creating rework and technical debt.
Definitions, metrics, relationships and design decisions are recreated across documentation, semantic layers, data contracts, dashboards and prompts. Each version can drift, creating duplicated effort, conflicting answers and reconciliation work.
AI can generate plausible model designs, queries and code from the schemas and prompts it is given, but it cannot safely infer the business meaning behind them. Missing context becomes plausible assumptions, creating rework and putting trust at risk.
One governed workflow from business meaning to implementation.
Snap Data Studio connects the work that normally happens across modeling tools, documents and prompts. Capture concepts, relationships, definitions and rules once. Use Data Studio AI to generate and refine the model. Then produce the documentation, semantic models, data contracts and DDL from the same context.
Define business meaning with concepts, relationships, definitions and rules.
Generate and refine conceptual, logical and physical models with guided AI.
Create connected documentation, semantic models, data contracts and DDL.
Go from business process to production model in an afternoon.
Describe the domain in plain language or shape it visually with your team. Data Studio AI helps you create and refine conceptual, logical and physical models while keeping the data team accountable for the business logic.
Define meaning once.
Generate every output from it.
Keep concepts, relationships, definitions, rules and metrics connected to the model. Then generate the documentation, semantic models, data contracts and DDL required downstream, without rebuilding the same context in every tool.
Give coding agents the context they need.
Publish curated context in open, file-based formats that coding agents can retrieve when they need it. Agents start with the business meaning behind the model, so your team spends less time re-explaining the domain, correcting assumptions and rerunning work.