NEURAL2Talk to our team

Enterprise computer vision for luxury resale

Identify luxury bags.
Detect signs of counterfeiting.

Photo-based product identification and AI-assisted authenticity assessment, built for resale teams. Match the model, examine the details, and give your specialists the evidence to make an informed decision.

Discuss your use case See how it works
Recorded counterfeit caseReviewer + AI: Fake
Operational photograph of a Chanel bag marked Fake by a reviewer and the recorded AI assessment
Recorded outcomeCounterfeit detectedReviewer and AI assessment agree.
Microscopic capture: top seamTop seamLocation score 0.06
Microscopic capture: serial stickerSerial stickerLocation score 0.00
Microscopic capture: inside brand stampInside brand stampLocation score 0.10
See what a product photo can’t tell you.Explore the visual evidence behind the result. Lower location scores indicate more counterfeit-like patterns.Explore this case and 9 more brands →
About these scores

Uploaded May 2026; assessment recorded September 2026. Location scores run from 0 (counterfeit-like) to 1 (authentic-like). These are recorded examples, not accuracy claims or calibrated probabilities.

Built on authentic and counterfeit examples across 11 brands

  • Louis Vuitton
  • Chanel
  • Hermès
  • Gucci
  • Dior
  • Celine
  • Loewe
  • Balenciaga
  • Prada
  • Goyard
  • Coach
Dataset coverage · available checks vary by brand and item type

The platform

From an unfamiliar item to an informed decision.

PRODUCT IDENTIFICATION

Find the right reference.

Turn a product photo into a shortlist of visually similar models. Staff compare references, materials, sizes and colours, then confirm the match that fits the item.

Explore identification
AUTHENTICITY ASSESSMENT

Read the details that matter.

Brand-specific guidance helps staff capture 7–10 detail locations. Review an overall assessment alongside scores for each captured location. A Hold outcome keeps uncertain cases open for specialist review.

See real capture examples
01Capture

Photograph the item and follow the guide for its brand.

02Assess

Compare product references and examine the authenticity evidence.

03Review

Keep specialists involved in uncertain cases, with the images and results in one record.

Your workflow, your starting point. Use our guided platform to connect intake and review, or integrate identification and authenticity assessment into your existing software through APIs. We configure coverage and image requirements with your team. Item fingerprinting is also available for returning-item checks.

Proven in daily operations

Built with our first client.
Proven at scale.

Supporting large-scale luxury resale: we built the product from the ground up with our first client, one of the largest luxury resellers. That experience now informs a configurable platform for other operators, including smaller teams.

180,161item records added in 2025
907active intake accounts in 2025
+22%item intake growth, 2024–2025
Explore the case study & growth chart

Our data advantage

Real items.
Hard-earned intelligence.

Proprietary authentic and counterfeit examples across 11 luxury brands. Years of operational photography and specialist review create evidence that is difficult to replicate.

Explore our technology
Real microscopic photograph of an embossed brand stampActual operational capture · explore the details ↗

Neural²

Built for the hardest visual problems in resale.

Machine-learning engineering meets luxury resale expertise. Let’s find the right fit for your team.

Explore a partnership