Recognize every product.
Count every SKU.

Turn photos of shelves, warehouses, and displays into precise SKU counts and product-mix data. Our models spot your catalog in the wild — no barcodes, no manual tagging.

90%+SKU precision
10k+ SKUsper model
Any storeany shelf, any angle

Trusted for retail execution, warehouse operations, planogram compliance, and competitive intelligence

Our models

Three ways to detect your products.

Whether your catalog is small and stable or vast and constantly refreshing, we have a training path that fits.

Fastest

Prebuilt Catalog

Already trained on major consumer brands across FMCG categories. Immediate coverage of the most common SKUs.

  • Live in minutes
  • Broad FMCG coverage
  • Best cost per image
Try prebuilt catalog →
Highest accuracy

Custom Trained Catalog

We collect, label, and train on your exact catalog and store environments. Tuned to your packaging, angles, and lighting.

  • Best precision on your SKUs
  • Handles packaging refreshes
  • You own the results
Scope a custom model →
Deployment options

Pick your level of ownership.

From a fully managed pipeline to raw model weights on your servers — you choose how deep we go.

01

Hosted API & Dashboard

We host the model. You get a REST API plus an optional dashboard to review detections, export data, and manage your SKU list.

REST APIWeb UIWebhooksSLA
02
Turn-key

Full-service Pipeline

Send us your field photos (or let us collect them). We run detection, aggregate SKU counts, and deliver structured reports.

Image intakeBatch inferenceStructured reportsAlerts
03

Model Weights Delivered

Prefer to run it yourself? We hand over the trained weights, inference code, and a runbook. Deploy on your own GPUs or cloud.

PyTorch / ONNXDockerRunbookSupport
Who it's for

Built for teams that measure execution on the ground.

🏬

Retail Shelf Audit

Automate share-of-shelf, facings, out-of-stock, and price-tag checks from field photos.

📐

Planogram Compliance

Compare actual shelves to the planogram — flag deviations store by store.

📦

Warehouse Inventory

Count pallets, cases, and units from ceiling or dock-door cameras without hand scans.

🎯

Competitive Intelligence

Track competitor SKUs, new launches, and shelf-space wins across markets.

🛒

E-commerce Catalog

Auto-tag product images, spot duplicates, and enrich listings at scale.

📊

Field Marketing ROI

Prove promo compliance and secondary-placement execution with hard image evidence.

How we work

From brief to deployed model in under two weeks.

1

Scoping call

Free 30-min call to understand your SKUs, photo sources, and accuracy targets.

2

Data & training

We collect or receive reference images per SKU, label as needed, and train.

3

Validation

You review detections on a hold-out set. We iterate until precision and recall meet the bar.

4

Deployment

Ship as a hosted API, a full pipeline, or delivered weights — your call.

FAQ

Quick answers.

How many SKUs can one model handle?

We regularly train models covering 10,000+ SKUs. Beyond that, we split the catalog into sub-models by category or brand — same API surface, no impact on you.

How many photos do you need per SKU?

For custom models, a few dozen labelled examples per SKU are usually enough. If you don't have photos, we can source them from field trips, third-party libraries, or synthetic generation.

What happens when packaging changes?

New packaging is a retraining trigger. Zero-shot models absorb it in hours; custom models need a small refresh cycle. We support both flows so seasonal or promo packaging never breaks your pipeline.

Do you handle partial visibility and occlusion?

Yes. Products stacked, rotated, or partially hidden behind price tags are recognised as long as enough of the pack front is visible. Accuracy degrades gracefully with occlusion.

What does it cost?

Prebuilt starts at a per-image API rate. Custom models are a fixed project fee plus optional hosting. Send us your catalog and photo volume — we come back with a tailored quote.

Let's talk

Tell us about your product-recognition project.

Describe your SKUs, photo sources, and volume — we come back with a plan and a quote. No obligation.

No spam, ever