nutrād — pronounced "new trade" — helps companies move from fragmented product information to an intelligent data fabric that carries products confidently into every channel, marketplace, retailer, and buying experience.
We are building the infrastructure for that next movement: connected, enriched, governed, and ready for every place commerce is headed.
Goods moved between empires.
Cargo moved between continents.
Volume moved between facilities.
nutrād moves product truth wherever commerce needs it to go.
Every company with complex products is being asked to move faster across more channels, richer buying experiences, and more demanding commercial relationships. Product data is the path that makes that movement possible.
nutrād is building the Intelligent Product Data Fabric™ for what comes next: product data that can connect, enrich, govern, execute, and adapt wherever commerce needs it to go.
We believe product data should be commercially ready for every team, channel, and buyer that depends on it — without forcing every company into the same architecture or the same starting point.
nutrād carries the idea that commerce has always depended on movement: from source to path, from origin to destination, from what exists now to what comes next.
Old Norse for now. In Egyptian cosmogony, the primordial waters from which all ordered creation emerges. Across traditions, nu names the source.
Proto-Germanic *trado. Old English tred, tr?d. A path. A track. The way merchants took. Trade, in its first meaning, was the way.
nutrād is pronounced “new trade.” The macron a marks precision, care, and the detail required to move product data with confidence.
Every organization that sells physical products through a complex channel stack faces the same problem: product data lives in too many places, in too many formats, governed by too many different people.
ERP handles the item master. PIM manages the catalog. Syndication distributes content. EDI moves transactions. Each system solves a piece — and none of them solves the layer between them.
That layer is Product Data Orchestration. nutrād connects scattered product information, improves it with AI, validates it against commercial requirements, and moves complete, governed records to every retailer, distributor, marketplace, EDI partner, and commerce system that depends on them.
Most product data workflows push records downstream and hope they land correctly. nutrād creates a governed feedback loop between sources, teams, and commercial destinations so requirements, exceptions, and changes can move both ways.
Every member of the nutrād leadership team has spent a career in the problem we're solving — supply chain, product data, channel commerce, and the infrastructure that connects them.
John has spent his career at the intersection of supply chain operations and digital commerce. As VP of Supply Chain at Cardinal Health, he managed one of the most complex product data ecosystems in healthcare distribution. Before that, he led product data infrastructure initiatives at Syndigo/Shotfarm, and earlier in his career was the originator of the Redbox concept at McDonald's — a track record of identifying category-defining moments before the category knows it exists.
Tim built his career at the core of product data transaction standards. At 1WorldSync, he led product strategy for the world's largest GDSN data pool — the infrastructure that governs how product data flows between the largest manufacturers and retailers on earth. He drove 600% revenue growth at Shotfarm as EVP Strategy by productizing the product data exchange that brands and distributors had been struggling with manually.
Michael is one of the most credentialed AI/ML engineers in enterprise software. As Chief Architect at Dell EMC, he designed the technical architecture for 145 products across a 750-person engineering organization. His AI work at NASA and 21 filed patents give nutrād an AI platform engineering authority that no pure-play PIM company can replicate.
Mike spent four years as a Global Strategic Account Director at a leading PIM platform, managing Fortune 500 accounts and seeing — from the inside — exactly what PIM platforms couldn't do for manufacturers and distributors. Before his PIM platform role, he served as Chief Executive Relations at Philips, where he owned nine-figure revenue relationships at the board level. Mike sells at the altitude where the commercial decision gets made.
nutrād is a Databricks Built-On Partner — which means the Intelligent Product Data Fabric™ was designed from the ground up to run on the Databricks data lakehouse architecture, not retrofitted to integrate with it after the fact.
This distinction matters. When your product data lives in the Databricks lakehouse, your entire data team can query it alongside your transactional and operational data. Your existing Snowflake and dbt investments work alongside nutrād, not around it.
The Product Data Audit gives you a prioritized analysis of your actual product data — covering completeness, consistency, channel readiness, taxonomy alignment, and enrichment opportunity — in 48 hours. Free, no commitment.