AI for low-power IoT devices

Together with Lōtik, we created an intelligent low-power wireless sensor that clamps onto pipes and uses on-device signal processing and neural networks to detect water flow and leaks.

State of the art medical image analysis

In collaboration with our medical technology clients, we implemented a number of deep learning-based medical image analysis applications for ultrasound and MRI.

For one client, we deployed ultrasound intelligence that was so far only available on high-end devices, to consumer smartphones, while achieving greater accuracy and real-time interaction.

Image recognition in millions of photos

We helped Jetpac, a company that used artificial intelligence to build city guides, implement a deep learning-based computer vision system that finds dogs among other curious things inside millions of Instagram photos. Jetpac used information extracted from images to automatically categorize locations.

Jetpac has since been acquired by Google.

Using deep learning to listen for whales

We worked with researchers from Oregon State University on improving software algorithms for detection and classification of marine mammals in underwater recordings. Our solution is not only more accurate than conventional methods used, it's also much faster, processing years of audio recordings in a matter of hours.
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Species identification through photos

Together with the Museum für Naturkunde in Berlin, we've developed the PhotoID app that can automatically identify hundreds of animal and plant species based on photos.

An interview on ARTE FutureMag demos an early version (French, German).
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