PROV-N is an advanced data provenance and pedigree product designed to provide comprehensive tracking of every datum and every insight. By capturing fine-grained provenance, pedigree, and lineage information, PROV-N allows users to trace data through every stage of its lifecycle — from creation, processing, to final output. This level of detail ensures that organizations can have full visibility into where data originates, how it has been transformed, what factors influence its quality, and to what degree.

Example. When a sensor collects data, PROV-N records the precision and accuracy of that sensor, quantifying the data's reliability at origin. As this data goes through ETL, PROV-N tracks its movement through the system, even through transformation. When AI is applied to the data, PROV-N quantifies the error introduced by it. The final AI insight accurately reflects the combined error of the data, ETL, and AI. The insight can be traced to all originating data as well as intermediate steps, including the agents / programs involved. Over time, this fine grained traceability efficiently catches and squashes errors that were previously invisible. PROV-N has created unparalleled trust, visibility, and quality.

Efficiency. PROV-N can "latch onto" existing systems, allowing organizations to incorporate detailed data provenance without needing to make significant changes to their current workflows or systems. PROV-N can be configured for any domain though simple modules. A user interface and API access are provided for ease of use.