Query APIs like they’re tables

Data lives in silos. Teams want insights now, but every new API means another custom connector.

This use case seeks to consistently unlock the data companies depend on across multiple third-party SaaS providers and existing database connections via JDBC and ODBC. It ensures AI integrations have the data they require, even when that data is spread across internal systems, SaaS tools, and legacy databases.

Teams benefit from consistent SQL access to data sources, and extending this access to third-party SaaS enables them to provide the context, resources, and data needed for AI integrations across the enterprise. This use case delivers a unified, simplified approach to powering AI workflows with the data required within specific business domains.

How Naftiko steadies the course

Naftiko organizes how capabilities work: the Framework sets the rules, the Engine enforces them at runtime, and the Fabric delivers monitoring, auditing, and reporting.