One Source of Truth. Every System Connected.

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 Neural Core Stack

Your Product Data Is Your Biggest Liability

01

Catalog Chaos

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.

02

Systems That Don't Talk

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.

03

Feeds That Lag Reality

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.

04

Structured for Humans, Invisible to Agents

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.

One Data Layer. Every System Connected.

Data In

AI-Powered Ingestion

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.

Unified Product Intelligence

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.

Real-Time Sync

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.

Schema-First Architecture

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.

Data Out

Feed Distribution

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.

Agent Platform Readiness

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.

Operational Integrations

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.

Custom Integration Development

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.

The Data Advantage

01

Structure determines discoverability.

Poorly structured data means poor visibility. AI agents can't recommend products they can't understand. We build data architectures machines can reason about.

02

Single source of truth.

Product information scattered across systems creates inconsistency. We consolidate your product data into one authoritative source that feeds all channels.

03

Operational efficiency.

Connected systems mean less manual work, fewer errors, and faster operations. Infrastructure that helps your team instead of creating friction.

04

Protocol-ready foundation.

Agentic commerce protocols are emerging. We build infrastructure that speaks these new languages, positioning you for where commerce is heading.

Accurate Data Compounds. Inaccurate Data Costs.

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.

Common Questions

How do you handle manufacturer data in different formats?
AI-powered ingestion that normalizes whatever you receive — PDFs, spreadsheets, XML feeds, portal downloads, API connections. We map their structure to your catalog schema automatically. Your team reviews exceptions, not every product.
What systems can you integrate with?
Common POS, ERP, inventory, and CRM platforms have standard integrations. Shopify, NetSuite, QuickBooks, Lightspeed, and others. For proprietary or legacy systems, we build custom connections scoped to your specific requirements.
How often does data sync?
Depends on the source system and your needs. Real-time sync for inventory and pricing changes is standard. Catalog updates can be scheduled or triggered by manufacturer feed updates. We configure frequency based on how your data actually moves.
What's the difference between this and a PIM?
Traditional PIMs are repositories — they store data but don't structure it for agent discovery or distribute it intelligently. We're a connected data layer: ingestion, normalization, structuring for AI accessibility, and distribution to every channel. PIM functionality plus what PIMs were never built to do.
Do I need this if I already have a working website?
If your product data is accurate, real-time, and structured for AI agents — maybe not. But if you're manually updating catalogs, your systems don't sync, or your data isn't queryable by agents, the data layer solves problems your website alone can't.
How does this connect to the Digital Storefronts platform?
The data layer powers the storefront. Product information, inventory, pricing, specifications — all flow from this foundation to your customer-facing experience. You can use the data layer with our storefront or connect it to existing infrastructure.