Your data is scattered across systems that have never spoken to each other. Datural connects them into one living map and lets anyone on your team explore it in plain English.
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Connect a source. Datural reads the schema, understands the relationships, and builds a semantic graph automatically. No modeling. No YAML. No dbt.
Every answer shows the exact tables, joins, and logic it used. Real SQL on real schemas. You can audit every step.
Corrections become permanent edges. Verified queries become cached routes. Repeat questions skip the LLM entirely.
Snowflake, Databricks, Postgres, MongoDB. Each one orbits in isolation with its own schema, its own dialect, its own gravity. Datural charts the space between them. It finds the hidden warp lanes: shared keys, naming patterns, semantic overlaps, and fuses them into one navigable map.
Type what you need. Datural writes the query, runs it across every connected source, picks the right chart, and drops it into a live grid you can drag and rearrange. Six questions later you have a dashboard that used to take a sprint.
Gemini today, Claude tomorrow, Llama on-prem next quarter. The model is the propulsion, not the ship. Datural owns the graph, the context, and the execution. Swap engines without losing a single route.
When someone on your team says "retention rate" in a question, Datural doesn't just answer. It learns the definition. Next time anyone asks, across any source, the meaning is already there. No YAML files. No dbt models. Your semantic layer grows from conversation.
Datural is in private beta. We're onboarding teams whose data is scattered across too many systems and too many tickets.
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