About Us

Identifying spare parts is hard. Not only do you have to know the terminology and have some domain expertise, but you’re inevitably faced with challenging scenarios like dirty parts, installed parts, and even worn or broken parts. We created Partium to take all the guesswork out of the experience. Identification of spare parts is a superpower that all your employees and customers should have at their fingertips. By combining multiple state-of-the-art visual-search techniques — including metric learning, automated segmentation and sizing, and active learning — along with customizable metadata AI — for part disambiguation, filtering, confirmation — we can achieve the highest possible recognition rates. Whether you’re searching for parts in an industrial, manufacturing, automotive, or retail setting, we have the right tools to build you a visual part-search solution.

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The Partium Paradigm

Part recognition isn’t just about leveraging powering computer vision to recognize parts. It’s just as important to use AI to understand and filter parts based on criteria that isn’t visible to the naked eye. That’s where our Delta technology comes in; we utilize and augment the metadata of parts to solve a variety of part-search challenges: Pre-filtering based on location or assembly; asking follow-up questions to narrow down visually similar part candidates; verifying a part matches a machine. And of course, what to do when you have a part search, but don’t have a photo of the part to start with! The Partium paradigm is that if you use CV + Metadata AI, you can achieve highly accurate search, no matter what the scenario.

Partium History

Three of the world’s leading providers of image recognition and visual search technology merged to become Partium. US-based Slyce, Spain-based Catchoom, and Austria-based Humai joined forces.

2010

Humai Technologies, originally founded as part of the Austrian Berndorf Group, divests its mobile Augmented Reality (AR) solution, Vuforia, to focus on part recognition going forward. Humai also builds MagicLens, an AR-presentation tool for sales and marketing of parts and machines.

2012

Slyce launched. The company grows to become one of the dominant visual search players with the introduction of its award-winning camera-search SDK in 2014. Philadelphia-based Slyce integrates its technology into the apps and websites of more than 60 major retailers, including Home Depot, Tommy Hilfiger, and Bed Bath & Beyond.

2019

Part Finder Kiosk announced. The device leverages the same Partium technology — combining CV + Metadata AI and questions — in an enclosed lightbox that can yield exact matches from thousands of fasteners, light bulbs, auto parts.

2011

Catchoom launches as a spin-off from Telefónica R&D by two PhDs in computer vision. Initially focused on large-scale cloud image recognition, Barcelona-based Catchoom launched the CraftAR toolbox in 2014 for cloud and on-device Image Recognition and Augmented Reality, on print, logos, art and packaged goods.

2018

Partium brand introduced as a white-label solution for industrial and manufacturing clients to enable after-market part search in a mobile app. Clients like Bosch and Daimler quickly adopt the Partium product.

2020

Humai, Slyce, Catchoom merge and adopt the Partium name. The Partium SDK, API and app become the company’s core product offering.

Partium History

Three of the world’s leading providers of image recognition and visual search technology merged to become Partium. US-based Slyce, Spain-based Catchoom, and Austria-based Humai joined forces.

2010

Humai Technologies, originally founded as part of the Austrian Berndorf Group, divests its mobile Augmented Reality (AR) solution, Vuforia, to focus on part recognition going forward. Humai also builds MagicLens, an AR-presentation tool for sales and marketing of parts and machines.

2011

Catchoom launches as a spin-off from Telefónica R&D by two PhDs in computer vision. Initially focused on large-scale cloud image recognition, Barcelona-based Catchoom launched the CraftAR toolbox in 2014 for cloud and on-device Image Recognition and Augmented Reality, on print, logos, art and packaged goods.

2012

Slyce launched. The company grows to become one of the dominant visual search players with the introduction of its award-winning camera-search SDK in 2014. Philadelphia-based Slyce integrates its technology into the apps and websites of more than 60 major retailers, including Home Depot, Tommy Hilfiger, and Bed Bath & Beyond.

2018

Partium brand introduced as a white-label solution for industrial and manufacturing clients to enable after-market part search in a mobile app. Clients like Bosch and Daimler quickly adopt the Partium product.

2019

Part Finder Kiosk announced. The device leverages the same Partium technology — combining CV + Metadata AI and questions — in an enclosed lightbox that can yield exact matches from thousands of fasteners, light bulbs, auto parts.

2020

Humai, Slyce, Catchoom merge and adopt the Partium name. The Partium SDK, API and app become the company’s core product offering.

We get to you, anywhere you are

 

Partium USA

1635 Market Street, Suite 1600 Philadelphia, PA 19103

Partium Canada

3050 Wilson Ave

New Waterford, Nova Scotia, Canada B1H 5V8

Partium Austria

Dresdner Straße 91 / C2

1200 Vienna, Austria

Partium Spain

Rambla de Catalunya, 123, 1st floor

08008, Barcelona, Spain

Join over 100+ satisfied companies

“Sometimes it’s so complex and challenging for a customer to describe something unique using text… Thanks to visual search, 85% of customers feel that the product we show them is highly relevant”

– Shawn Coombs, Senior Director
Product Management, Home Depot

Don’t be shy!

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