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KEW DATA

Connect, understand and trust your business data.

Connect a source, store a dataset and keep updates traceable. Relationships between business keys require explicit meaning, quality checks and steward review.

Kew Data native interface captured with isolated synthetic fixture data.
Native product interface · Synthetic fixture · Visual reference, not a hosted feature guarantee.

From question to useful work

  1. 01

    Import a CSV into a dataset

  2. 02

    Inspect schema, quality and provenance

  3. 03

    Apply a versioned API update

  4. 04

    Review a relationship before reuse

Built around the task

CSV ingestion and versioned API sync

Connect a source, store a dataset and keep updates traceable. Relationships between business keys require explicit meaning, quality checks and steward review.

Catalog, source permissions and lineage

Inspect schema, quality and provenance

Reviewed key relationships and cardinality previews

Apply a versioned API update

KewAI with inspectable context

Illustrative conversation · No model call

You: Can these two customer keys be reused as the same business relationship?

KewAI example: Check the selected source, its version and your permitted fields first. Inspect schema, quality and provenance. Keep a measured fact separate from a proposed next step.

Context
Selected record and source version
Authority
Current source permissions
Action
Preview and review before a consequential effect

Connected work with clear ownership

Discovering a source does not grant access. The source application authorizes its records and applies its own changes; a consuming app receives only permitted context.

Availability and next step

Plan a relevant walkthrough →