About ENRIVAQ
ENRIVAQ is built for a problem that sits between raw catalog data and the systems expected to publish it. A product may already have a manufacturer name, part number or supplier title — but still be missing the structured attributes, compatibility, normalized terminology, source evidence and content needed for a usable product record.
ENRIVAQ researches the product, extracts usable facts, maps them into a consistent structure, validates conflicting information and prepares the accepted data for product content and SEO.
The bottleneck is often the data before the PIM
ERP, PIM and ecommerce platforms are good at storing, managing and publishing product information. The problem is what happens when the record arriving in those systems is incomplete, inconsistent or spread across supplier files, product pages and technical documentation.
That is the layer ENRIVAQ focuses on: turning difficult source data into a product record that can support catalog teams, search, filters, product pages and downstream systems.
Built for complex technical catalogs
A usable technical record may depend on OEM references, aftermarket relationships, machine compatibility, category-specific attributes, dimensional data, units and information from several independent sources. ENRIVAQ is designed around that complexity.
A controlled product-data workflow, not a single generation step
Identify the product, research relevant information, extract structured facts, normalize them to the target schema, validate the result and only then prepare customer-facing content from accepted information.
The first dedicated vertical
Agricultural machinery and spare parts are the first dedicated vertical because they combine OEM and aftermarket references, machine compatibility, multi-brand supplier data, technical attributes and incomplete source records.
It provides a concrete domain in which the enrichment workflow can be evaluated against technically demanding product records.
Keep the systems that already run your business
ENRIVAQ is not positioned as a mandatory replacement for your ERP, PIM or ecommerce platform. It is a focused enrichment layer around the existing stack.
Evidence is part of the product record
For technical product data, “the AI is confident” is not enough. ENRIVAQ retains source context with extracted values so accepted data, unresolved conflicts and rejected information can be investigated instead of hidden.
Built by an engineering-led product team
Start with one difficult product
Bring a product record that is incomplete, technically difficult or expensive to maintain manually. Use it to determine whether ENRIVAQ can identify the product, find useful information, structure it correctly, isolate conflicts and produce a better catalog record.