| Website | kooaba.com |
| Blog | blog.kooaba.com |
| @kooaba | |
| Category | Mobile/Wireless |
| Phone | +41 43 960 86 86 |
| info@kooaba.com | |
| Employees | 20 |
| Founded | 11/06 |
| Description | Image Recognition Technology |
| TOTAL | $2.92M |
| FUNDING TOTAL | $2.92M |
| Series A, 8/10 | $2.92M |
kooaba AG, a Zurich based start-up company, was founded in 2006 as a spin-off from the Swiss Federal Institute of Technology (ETH) in Zurich. Holding various patents, the company is a pioneer in sophisticated image recognition technology that connects the physical world to digital content and was the first to introduce mobile visual search. Its flagship product, Shortcut, is a mobile app that bridges the gap between the static printed newspaper format and dynamic online social sharing utilities. For more information visit www.kooaba.com.
kooaba Déjà Vu
Added: 3/10/12Using the kooaba image recognition API to create an iPhone app for visual search
Added: 3/19/13| Website | dejavuapp.com |
| Blog | blog.kooaba.com |
| Stage | Live |
| Launch Date | August 10, 2011 |
Deja Vu helps you remember things visually. Use the iPhone app to snap visual memos on the go. A simple interface and image recognition support you in organizing your visual memos.
Product video kooaba Deja Vu
| Launch Date | March 4, 2010 |
kooaba image recognition is an image and object recognition solution in the cloud. This platform makes it really easy to integrate visual recognition into any app.
Our recognition platform is probably one of the most scalable and robust worldwide. Our technology is robust because it was developed at ETH Zurich, one of the top innovators in Computer Vision. The patented core algorithm SURF is one of the most heavily cited algorithms, and was developed by kooaba’s founders. It is even part of OpenCV, a hugely popular open source library for computer vision. The great thing about our platform, however, is that you don’t have to worry about scaling or algorithms. We just do it for you. And at an affordable price.
Image Recognition API Screencast