Operating in embedded environments, Teraki's cutting-edge AI software truly enables automotive Insurance (UBI), Predictive Maintenance, Fleet Management and AD applications to perform in high volume, production series. Teraki realizes efficient and scalable access to more and to more qualitative car data - data that has been so far inaccessible. Terakis learning algorithms deliver data quality that is compatible with the latest requirements for AI based data processing. Teraki enables low-latency, low-hardware footprint applications. Its fundamental solution solves the performance issues and the cost efficiency challenges for connected car applications and autonomous driving. In doing so, Teraki aligns on the customers key need to maintain the most accurate and fastest per-mile price actualization in the market, ultimately targeting cost efficiency issues of autonomous driving.

What we do

About Us.

What. How. Why.

What we do.

Teraki’s software is a key driver for scaling of Insurance, Predictive Maintenance and Autonomous Driving Applications by enabling access to more qualitative data.

Teraki begins doing so, by identifying the most relevant data already at the embedded side and transmits this data in the proven most compact form possible. This is done while maintaining the customers key KPIs based on the latest state of the art AI data processing schemes. As such, Teraki’s software enables to fulfil low-latency SLAs required by the end-user and ultimately to adapt key KPIs such as cost-per-mile at the highest precision and lowest latency.

Therefore, Teraki enables to bridge the gap towards true vehicle autonomy, by overcoming the time-gap of future 5G networks and by optimising automotive hardware cost efficiency.

How it works.

The data reduction is achieved by pure software. In the car (sensor, microcontroller, gateway, etc.), a client software with lowest requirements is deployed and identifies the data streams required by the AI based processing scheme. Only a fraction of the data is effectively acquired and encoded.

The data is recomposed and fed into the customers AI processing schemes, relying either on the fully reconstructed or reduced data. No relevant information is lost, while maintaining between x4 to x15 more data rates than accessible with compression products.

With a proper analysis of the data in a telematics device, higher reduction rates are achieved. Teraki’s products are compatible with existing compression and AI chip based processing solutions.

Key features.

  • Compared with alternatives:
    • Your CPU processes 5x more data.
    • Your application runs with 15x less end-to-end latency.
    • Your mobile data consumption is up to 50x lower.
    • Key insights are gained already at the device level while maintaining lower hardware requirements than NN based solutions.
  • 100% software (client - server architecture). No additional hardware required.
  • It fits in constrained environments the client component is just a few KB small.
  • Works with any private or public cloud infrastructure.
  • Suited for real-time applications.
  • Compatible with all protocols, networks, encryption and hardware technologies.
  • Compatibility with latest hardware platforms including AI based processing chipsets.

Use Cases.

Examples of mobility applications that Teraki makes happen.
Usage based insurance

Usage based insurance

Use Case: Crash detection

Crashes form the largest category of costs to insurers.

Better and more complete crash detection significantly improves the main KPIs for insurance companies as with more available data algorithms can achieve higher accuracies and draw more relevant conclusions. Within existing architectures and hardware Teraki ensures that you get more of this data quicker, thereby improving performance of these main KPIs.

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Predictive Maintenance

More data leads to less down time & costs and to higher customer satisfaction.

Getting more data our of a car with existing hardware (e.g. microcontroller, gateway, telematics unit) enables to do good analysis to determine when maintenance is due.

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Predictive Maintenance
Fleet Management

Fleet Management

Coming soon…

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Autonomous Driving

Coming soon…

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Autonomous Driving


List of core benefits our solution provides


TERAKI ads an additional layer of security

Teraki enhances the security treshholds of encryption protocols, since the encoded data may only be decoded by the customer.


Reduce storage space of your time series and video data

Teraki helps to reduce the storage requirements for sensor data by an average of 90% and up to 99%. The reduced storage capacity requirements directly allow to increase the storage time in end devices and reduce loss of data due to communication bottlenecks. Within 2018, image, video as well as 3D data will be supported.


Improved end-to-end latency

Teraki reduces the encoding/decoding latency introduced with respect to other compression solutions by up to a factor 30. Teraki helps at improving the processing latency of data. This is crucial especially in connected car applications where often immediate actions need to be derived from the data.


More data at same costs

Teraki allows you to significantly reduce the traffic generated by sensor networks and consequently to reduce your 3G/4G or satellite communication costs.


Small CPU footprint on sensor devices

Teraki reduces the CPU footprint of connected devices, thus also reduce the energy consumption and processing latency. This is particularly relevant for connected car applications with restricted hardware resources and for which a potential upgrade is only expected within next car series. Teraki plays a key role in lowering the CPU requirements for edge analytics applications, key for example for autonomous car applications.


We are a team of experienced researchers with a broad expertise in transferring disruptive innovations into the market.
Daniel Richart

Daniel Richart

Markus Kopf

Markus Kopf

Geert-Jan Van Nunen

Geert-Jan Van Nunen



Working at TERAKI

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