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Elasticbrains

AI-powered platforms and software from Munich

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Profile Overview

Minimum Budget
> €5,000
Hour Rate
€100 - €149
Company Size
2-10
Founding Year
2015
Case Studies
3
Spoken Languages
Deutsch (German), English (English)

About Elasticbrains

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Elasticbrains Firmenpräsentation PDF

Projects

Custom Image Model for a Collector Catalog

Case Study by Elasticbrains

Custom Image Model for a Collector Catalog
Vertraulich (Sammlerobjekte)

E-Commerce

January 2026
-

Artificial Intelligence

Image Processing, Deep Learning, Machine Learning, Pattern Analysis & Recognition


Description

A specialized image model matches photographed collectibles to entries in a large catalog, where off-the-shelf AI models fall short. At the customer’s request, we’re not naming them.

Challenge

The objects in the catalog look almost identical. Off-the-shelf models treat everything as similar and, in critical cases, score the wrong match higher than the right one. But automated matching requires a signal you can trust.

Solution

  • The pretrained image model stays as is. Only a small add-on learns the subtle differences.
  • Labels came from existing metadata, so no one had to tag images by hand.
  • Training takes seconds. It runs on standard CPUs on-premises. The images never leave the organization.
  • We averaged each improvement across multiple test runs. We tested and ruled out using more training data, higher resolution, and a language model to rerank results.

Results

  • 53 vs. 30 correct matches on the first try per 100 photos: a custom model compared with a standard API, measured in a 2026 customer project.
  • Matching also improves for objects never seen during training. The model learned the distinction, not the examples.
  • No GPU cluster required; runs on-premises.

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Locations

Munich

Schieggstr. 23d 81479 Munich (DE) +49 177 5212493
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