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MuskarTech AI Lab

Teaching software to see what you mean.

The AI Lab is the research side of MuskarTech: applied machine learning, studied carefully and shipped only when it holds up. Our current question: can software find the exact product in an ordinary photo?

Current project

Visual product search

Illustrative visual. Illustrative visual search: a product detected in an ordinary photo and matched to similar catalogue items.

You see a chair in a café, a lamp in a friend’s flat or a spare part on a shelf. You do not know its name, but you have a photo. Visual product search starts from that photo and returns the product, or the closest matches in a catalogue.

It is designed for the photos people actually take: odd angles, busy backgrounds, imperfect light. The model is in closed beta.

Where it can help

  • Search by photo

    Let shoppers search a catalogue with a picture instead of guessing keywords.

  • Catalogue matching

    Match product photos from suppliers or marketplaces to the items you already list.

  • Inventory lookup

    Identify an item in a store or warehouse from a quick phone photo.

How it works

Three steps from photo to product

  1. 01

    Detect

    Find the product in the frame and separate it from everything around it.

  2. 02

    Describe

    Turn what the model sees into a compact visual representation of the product.

  3. 03

    Match

    Search the catalogue for the nearest items and rank them by similarity.

Focus areas

What the lab works on

  • 01

    Computer vision

    Detection and recognition on real-world photos, where conditions are never ideal.

  • 02

    Retrieval and embeddings

    Representations that make “find me something like this” fast and accurate across large catalogues.

  • 03

    Efficient inference

    Making models fast and affordable enough to run in production, not only in a demo.

  • 04

    Applied language models

    Using LLMs where they remove real work in our products and in client projects.

How we work

  • Useful over impressive

    A model earns its place by solving a real task, not by a benchmark.

  • Measured before shipped

    Every model gets an evaluation set before it reaches users.

  • Show the reasoning

    We return matches with their scores, so people can judge the result themselves.

Beta

Join the visual search beta

Have a catalogue, a marketplace or an inventory problem that starts with a photo? Tell us about it.

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