Configurable catalogs — industrial equipment, building products, made-to-order goods, complex SKUs — break the rules of normal ecommerce. ConfigIQ gives them a verifiable structure, so every configuration your store sells is one that can actually be built.
Most PIMs store attributes. We model how a product is constructed — its parts, dependencies, compatibility, and the rules that decide whether a given configuration is real. That's the genome.
A neurosymbolic representation of your catalog — parts, options, compatibility, dependencies. Authored once, queryable everywhere.
Every configuration your storefront or sales tool produces is checked for constructability before it becomes an order.
Bulk-ingest spec sheets, catalogs, and engineering docs. Human-in-the-loop review turns them into structured rules — fast.
Drop-in adapters for Shopify, Magento, WooCommerce, and SFCC. Talks to your ERP. Doesn't replace your stack.
We pull your existing catalog, spec sheets, and configuration logic — wherever they live. Our AI proposes a first-cut genome. Your team reviews it.
The genome gets wired into your storefront and quoting tools. Every configuration is now checked against the same rules, in the same place, before it becomes a commitment.
When parts change, suppliers shift, or new SKUs land, you update the genome — not five disconnected systems. Everything that reads from it stays correct.
AI shopping agents are about to start buying on behalf of customers. Configurable products will fail at the agent layer without a way to verify, mid-conversation, that a configuration is real. The same genome we build for your catalog today becomes the contract agents call tomorrow. That's where we're heading. We'd rather ship the product that earns the right to get there than promise the destination.
Most of the AI-in-commerce story is about generation — copy, images, agents that talk. We're focused on the other half: making sure what gets sold is actually buildable, shippable, and correct.
Configurable catalogs are the part of commerce that has resisted clean digitization for two decades. Every team that touches them — sales, engineering, fulfillment, support — keeps a private copy of the rules in their head. When the rules disagree, the customer pays.
ConfigIQ is a small team of commerce, data, and systems people building the missing layer: a verifiable product genome, accessible to humans today and to AI agents tomorrow.
We started with the messiest catalogs we could find — industrial, building products, custom equipment — because if it works there, the rest is downhill.
We'd rather ship one merchant whose orders stop breaking than ten with a press release.
We integrate with Shopify, Magento, Woo, SFCC, and the ERPs you already run. Not a replatform.
Rules where rules matter. AI where ambiguity lives. The two earn their keep separately.
The genome format will be open so any tool can consume it. The authority to issue it for your catalog is yours.
Short updates. Real progress. We post when there's something to say.
We've narrowed our roadmap. The product shipping now is the genome and validator for configurable catalogs, with bridges into Shopify, Magento, WooCommerce, and SFCC. Everything else — agent endpoints, broader categories — sits on top of that core and ships when the core earns it.
A note on why we model compatibility as a small symbolic grammar wrapped in AI tooling, instead of asking a language model to "remember" your catalog rules. Determinism where it matters; flexibility where it doesn't.
Three quick patterns from working with complex B2B catalogs: rules live in PDFs more than in PIMs, "compatibility" usually means four different things in the same company, and the sales team is the source of truth nobody documents.