Daniel Richart

Founder, Teraki GmbH, Jan. 2014–Today Today, many valuable IoT/M2M applications are not possible because of restrictions of existing networks’ ability to cope with the expected data volume, high costs associated with transmission over wireless and mobile networks and limitations in storage capacity. Alternatively, we offer a significant reduction in the computing power required to compress data at the sensor side, significantly reducing the maintenance costs for deploying M2M/IoT applications. Teraki is lowering these barriers to a level that makes many more IoT applications affordable and profitable. Max Planck Institute of Quantum Optics, Researcher, Apr. 2008–Dec. 2013  Leading Research Project founded by the "Munich Advanced Photonics" program (Exzellenzcluster der Deutschen Forschungsgemeinschaft) on cryptography and computation schemes in the quantum regime. Development and implementation of effective data reconstruction techniques based on convex optimization. Research performed in close collaboration with Prof. Hänsch's (Nobel Prize Winner at Max Planck Institute for Quantum Optics/LMU Munich) and international (University of Gdansk, Poland; University of Bilbao, Spain) and national (Universities of Freiburg and Siegen) research groups.


Teraki's software solution employs propietary techniques to reduce the amount of data generated by sensors by an average of 90%, but up to 99% without compromising its quality. This is core for current applications in the automotive market, including connected and autonomous cars applications. Teraki further on enables novel applications such as in the UBI, Fleet management and Telematics market which are too cost intensive. With Teraki's software product, customers are able to increase the data they can transmit, while maintaing a low CPU footprint at the end devices. This advantage is core for enabling future applications even using present automotive hardware.

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