Retail · Geospatial · Satellite

Shelf-to-satellite annotation, at retail volume.

Whether it's millions of shelf photos or continents of satellite imagery, recognition models need relentless, consistent labels. Labelix runs dedicated pods that tag products, planograms, buildings, land use and change — at the volume and cadence these models demand.

Read the FAQ
  • Independent & neutral
  • In-office · NDA-bound
  • Live in ~3 weeks
  • Never crowdsourced
What we label

The annotation your models actually need.

Product & SKU classification
Shelf & planogram detection
OCR for price & labels
Satellite & aerial segmentation
Building & land-use labeling
Change detection
Why it's hard

The bottleneck isn't the model. It's the labels behind it.

01

New SKUs, store formats and regions arrive constantly — each needs fresh labels to keep accuracy up.

02

The volume is enormous and never-ending; a gig crowd can't hold consistency across it.

03

Your imagery and catalog are competitive assets — they shouldn't leave a controlled environment.

Why Labelix

A dedicated team — not a crowd you can't see.

Retail shelf-intelligence & loss prevention · visual search & catalog · satellite/aerial analytics · mapping & geospatial platforms.

A dedicated pod, live in ~3 weeks

We recruit and train a dedicated, in-office team for your domain and ramp it under daily QA — not a rotating, anonymous crowd. A small paid pilot proves quality before you scale.

Independent & data-firewalled

No Big-Tech owner, no conflicted incumbent. Your data is handled by vetted staff under signed NDAs in a controlled, access-controlled environment — never farmed out.

Consistency that compounds

The same retained team learns your taxonomy and edge cases, so each new product line, region, template or language is a re-train — not a restart.

FAQ

Questions, answered straight.

Still have one? Tell us about your data and we'll scope a small paid pilot.

Retail shelf and product photos (classification, planogram detection, price/label OCR) and geospatial imagery (satellite and aerial segmentation, building and land-use labeling, change detection). We scope to your classes and output format.

Put a dedicated retail · geospatial · satellite pod on your data.

Start with a small paid pilot — see the quality before you scale. Independent, in-office, and live in about three weeks.