The data layer that powers everything else.
Product data scattered across spreadsheets, manufacturer feeds, and disconnected systems is your biggest operational liability. We build the unified data layer that ingests, normalizes, and distributes your catalog — accurate, real-time, and structured for both human browsing and AI discovery.
Ingest from any source. Distribute to every channel.
The market shift
Agent-ready infrastructure
The technical rails
Every manufacturer sends data differently — PDFs, spreadsheets, XML feeds, portal downloads. Different naming conventions, different attribute structures, different update schedules. Your team spends hours normalizing what should flow automatically.
Your POS knows what sold. Your website shows what's available. Your ERP tracks what's on order. But they're not connected — or they're connected through brittle integrations that break when anything changes. Data lives in silos, accuracy suffers.
Google Shopping shows products you sold yesterday. Your website displays pricing you updated last week. Manufacturer inventory changed this morning but your catalog won't reflect it until someone manually updates. The gap between reality and representation costs you sales and trust.
Your product data might be enough for a human browsing your site. But AI agents need structured formats — schema markup, typed attributes, queryable specifications. Most catalogs aren't built to be machine-readable, which means they're invisible to the systems increasingly mediating discovery.
Manufacturer catalogs in any format — PDFs, spreadsheets, XML, API feeds, portal exports. Our AI normalizes product data automatically: standardizing attributes, mapping specifications, resolving naming inconsistencies. Your team stops being data entry clerks.
One structured data layer that becomes the source of truth. Every product, every variation, every specification — normalized, typed, and queryable. Changes propagate everywhere because everything reads from the same foundation.
Inventory updates when inventory changes. Pricing reflects current reality. Availability status accurate to the hour, not the week. Connections to your POS, ERP, and inventory systems that keep data current without manual intervention.
Product data structured for machine readability from the start. JSON-LD markup, typed attributes, specification hierarchies that AI agents can parse. Your catalog isn't just displayable — it's queryable by the systems increasingly mediating discovery.
Product feeds formatted for every destination: Google Shopping, Meta, Amazon, marketplaces, comparison engines. Publish once, distribute everywhere — each feed meeting the specific requirements of its platform.
Structured data exposed through APIs that AI agents can query directly. MCP-compliant architecture today. As ACP, A2A, and emerging protocols mature, your data is ready to surface in agent-mediated discovery without rebuilding.
Connections to the systems running your business: POS for transaction data, ERP for order management, CRM for customer intelligence, inventory systems for availability. Your storefront becomes part of your operational stack, not a separate data island.
Standard integrations cover common systems. When you need something specific — proprietary software, legacy systems, unique workflows — we build custom connections. Your infrastructure adapts to your operations, not the reverse.
Poorly structured data means poor visibility. AI agents can't recommend products they can't understand. We build data architectures machines can reason about.
Product information scattered across systems creates inconsistency. We consolidate your product data into one authoritative source that feeds all channels.
Connected systems mean less manual work, fewer errors, and faster operations. Infrastructure that helps your team instead of creating friction.
Agentic commerce protocols are emerging. We build infrastructure that speaks these new languages, positioning you for where commerce is heading.
Every product lookup that returns wrong information erodes trust — with customers, with agents, with the platforms distributing your feeds. Inaccurate inventory means wasted ad spend on products you can't deliver. Stale pricing means margin erosion or lost sales. Unstructured data means invisibility to AI-mediated discovery.
The inverse is also true. When your data is accurate, real-time, and properly structured, it compounds: better ad performance, higher search visibility, agent recommendations, customer trust that translates to conversion.
The data layer isn't infrastructure overhead. It's the foundation everything else depends on. Let's talk about building yours.