AI product data engine for retail catalogs

Fix your product data.Publish everywhere, faster.

Send us whatever your suppliers send you — PDFs, spreadsheets, CAD files. We fill the gaps, check it against GS1 and marketplace rules, and hand back records your team can publish the same day.

Join our growing group of design partners

Built to plug into the tools you already run

AWS
Google Cloud logoGoogle Cloud
Shopify logoShopify
Amazon
Walmart
Wayfair
Mirakl
Salsify
Built by 3 foundersWeekly release cadenceFounder-led onboarding

Everything you need toget a catalog live

Any source in

PDFs, sheets, CAD, images.

AI attributes

Gaps filled with scores.

Rule checks

GS1 and channel rules.

Taxonomy map

Aligned to your model.

APIs & hooks

Push into PIM or ERP.

Agent ready

Embeddings for AI search.

Inside the platform

One workspace for the whole record.

Every value keeps its source, its confidence score and its history — so anyone on the team can see why a record looks the way it does.

Source-linked values
Organised dashboard
Live pipeline runs
Works with your stack

Recent activity

1,240 records validated

Supplier batch · 4 min ago

Our work

Before and after, on real storefronts

A few pages we rebuilt around cleaner product data — richer attributes, clearer options, fewer questions left unanswered at the point of purchase.

Supplement product page before and after redesign with structured attributes and bundle options
Skincare product page before and after redesign with benefit icons and pack selection
Matcha product page before and after redesign with tasting profile and quantity tiers
Pet store homepage before and after update with trust bar and clearer hero offer

Business outcomes

Catalog operations that scale without adding headcount.

We turn whatever your suppliers send you into verified, channel-ready product data send. Teams deploy it against one category, measure the output, then roll it across the catalog.

Direct engineering access

Founders run onboarding, pilots and support — no ticket queue.

Weekly release cadence

Design-partner feedback lands in production within the same month.

Independent roadmap

Priorities follow customers rather than a board.

Hours, not weeks

Compress catalog onboarding

Supplier documents become structured, validated records in a single pipeline run instead of a multi-week keying project.

One record model

Standardise evaluation across teams

Every attribute is generated, scored and validated against the same rules, so merchandising and compliance stop disagreeing.

Pre-submission

Reduce marketplace rejections

GS1, taxonomy and channel rules are checked before publishing, with a readiness score per record.

Every value traced

Make audits routine

Source document to published value traceability, role-based access and audit logs across the pipeline.

Solutions by team

One product record. Every team that depends on it.

Start with one team's biggest bottleneck, then roll it out wider as the record model proves out.

For Merchandising Teams

Publish complete listings without manual keying

Close attribute gaps across thousands of SKUs so categories go live complete the first time.

Attribute AIProduct Intelligence

For Catalog & Data Ops

Standardise every supplier feed on one record model

One normalised product record from PDFs, spreadsheets, images and CAD — with source-to-value traceability.

IngestValidate

For Marketplace & Compliance

Fewer rejections, evidence on every value

GS1 and retailer taxonomy checks run before submission, with audit logs your reviewers can cite.

ValidateIngest

For Engineering & Platform

Product data delivered as an API, not a project

RESTful APIs, webhooks and warehouse sync — no bespoke ETL to maintain per channel.

ActivateProduct Intelligence

For Digital & Growth

Search and recommendations that actually convert

Richly attributed catalogs, compatibility graphs and embeddings behind on-site discovery.

Product IntelligenceAttribute AI

For AI Commerce Leads

Be machine-readable before the channel matures

Decision-grade attributes aligned to emerging agentic commerce protocols.

Agentic CommerceActivate

What the platform does today

Three things that already work well.

Supplier PDFs, spreadsheets and CAD drawings being converted into clean structured product rows

Data Quality

Generates verified, complete product data from any source.

  • Automates ingestion from PDFs, spreadsheets, images, line drawings, CAD files and APIs
  • Normalizes, validates and standardizes product data at scale
Product knowledge graph linking related products with attributes and embedding clusters

Product Intelligence

Creates intelligent, richly attributed product catalogs.

  • Generates ML-derived attributes and surfaces complementary and compatible products
  • Aligns to retailer taxonomies and powers hyper-relevant recommendations
AI shopping agent querying structured product data that flows through APIs into commerce platforms

AI Commerce Ready

Structures product data for enterprise systems and AI-powered commerce.

  • Delivers verified data to PIMs, ERPs and commerce platforms via APIs and webhooks
  • Compatible with emerging AI commerce protocols for embeddings and semantic search

Retail-Trained AI

Models tuned for retail product data rather than generic text, so attributes come out in catalog shape.

Cloud Infrastructure

Runs on managed cloud infrastructure that scales with the size of the batch you throw at it.

APIs & Webhooks

RESTful APIs and webhook integrations to PIMs, ERPs, commerce platforms and warehouses.

Data Pipelines

Ingestion from PDFs, spreadsheets, images, line drawings, CAD files and APIs.

Validation Engine

GS1 standards, retailer taxonomies and marketplace requirements checked automatically.

Access Controls

Role-based access and audit logging, so you can see exactly what changed and who changed it.

Connectors

Shopify, Amazon, Walmart, Mirakl, Salsify, Syndigo, Pimcore, Snowflake — with more being added.

Agentic Commerce Ready

Embeddings and semantic structures aligned to emerging AI commerce protocols.

Atronous vs Traditional PIMs

Why teams replace static PIMs with an intelligence engine.

PIMs store product data. Atronous generates, validates and activates it.

Capability
Atronous
Traditional PIM
Ingestion from PDFs, CAD files, line drawings
Included
Not supported
AI-generated missing attributes
Included
Manual
GS1 + retailer taxonomy validation
Automated
Manual
Retail-tuned attribute models
Included
Not available
Time to onboard a large catalog
Hours
Weeks
AI commerce protocol ready
Yes
No
Audit logging & access controls
Included
Add-on
RESTful APIs + connectors
Included
Limited

Customer outcomes

Real deployments, measured by team outcomes.

Our design partners, described honestly. We name them once the pilots close.

Design partner

Home furnishings distributor

Head of Catalog Operations

Cut supplier onboarding from a multi-week keying project to a same-day pipeline run.

We stopped rebuilding spreadsheets for every supplier. The records come out in our own model, and we can point at the source page for any value.

Pilot in progress

Multi-brand marketplace

Marketplace Compliance Lead

Validation moved before submission, so listing rejections are caught internally first.

Readiness scoring gave our reviewers something objective to work from instead of a checklist in someone's head.

Design partner

Industrial products brand

Director of Digital Commerce

Spec sheets and CAD drawings turned into channel-ready attributes without a data team.

The founders sat in our pilot calls and shipped fixes the same week. That is the reason we kept going.

Request a demo

See it run on your own catalog.

Send us one category and your channel requirements. In 30 minutes we ingest it live, show generated attributes with confidence scores, and validate the output against your target marketplace rules.

  • A founder runs the session — no SDR handoff
  • Your real documents, not a canned dataset
  • Written summary of what worked and what did not

No sales sequence. A founder replies with times and an agenda.

How It Works

Activate your product data in three steps.

Documents flowing into a validation funnel with checkmarksStep 1

Ingest, Validate and Generate

Connect product data from any source — PDFs, spreadsheets, images, line drawings and CAD files. Atronous ingests, validates against marketplace requirements and generates missing attributes automatically.

Taxonomy tree and connected product nodes forming a knowledge graphStep 2

Build Product Intelligence

Classify to retailer taxonomies, map complementary and compatible products, and generate embeddings that power search and recommendations.

Verified product data publishing out to storefronts and marketplacesStep 3

Activate Across Your Stack

Publish verified, channel-ready data to PIMs, ERPs, commerce platforms and marketplaces through APIs, webhooks and our connector library.

Note: steps one and two are solid; connector coverage is still expanding, and we'll tell you honestly if yours isn't ready.

Agentic discovery is a new channel

Is your catalog ready for AI shopping?

The way people buy is changing. AI agents like ChatGPT, Gemini and Claude are shopping on your customers' behalf. These agents do not search — they reason and decide. We're building product data infrastructure aligned with emerging AI commerce standards so your listings stay visible and decision-grade. This is the newest part of the product, and it moves fast alongside the standards themselves.

Current shopping

Human-driven experience

  • Browsing descriptive product pages
  • Clicking “Buy” on retailer websites
  • Visual appeal: 3D and lifestyle imagery

“A cozy fall cardigan in rich burgundy…”

Future shopping

AI agent-powered experience

  • Voice and prompt-based buying
  • No website visits
  • One-click checkout in chat

Color: Burgundy | Delivery: 2 days | Rating: 4.7

The shift: agents don't read. They compute using math.

Security & compliance

Built for teams that answer to a security review.

We're early, so here's exactly what is in place today and what is available on request — no certification badges we have not earned.

Data privacy by default

Your catalog data is used to serve your workspace — never pooled to train models for other customers.

Secure infrastructure

Managed cloud hosting, encryption in transit and at rest, and least-privilege service access.

Access control & audit

Role-based permissions with audit logs covering who changed which attribute, and when.

SSO-ready

SAML single sign-on available for Enterprise engagements on request for Enterprise engagements.

Put verified product data behind every channel.

Our current rates are locked in for customers who deploy with us now. Start with one category and expand once the output holds up in production.

Verified product listings with approval badges beside a rising revenue chart