ACCURATE AND EFFICIENT EDGE PROCESSING

Teraki's edge data processing technology processes edge data 10X more efficiently and 10X quicker. Teraki's embedded software operates in CPU & RAM-constrained hardware and delivers data optimized for machine learning applications. Accuracies of the models are enhanced by 10-30%.

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.
Automotive Insurance

Automotive 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 technology delivers 30% higher accuracy rates on crash detection algorithms. In addition, Teraki gets you this data 10 times quicker, thereby improving of the key KPIs for crash detection: accuracy and latency

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Predictive Maintenance

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

Getting more data out 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
Autonomous Driving

Autonomous Driving

Autonomous Driving is highly dependent from new sensors such as lidar, radar, video, etc. These sensors have in common to exponentially produce more data than the existing telematic sensors. This increases the data processing even more.

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Benefits.

Core benefits our solution provides.

OPTIMISED FOR AI

AI schemes and algorithms work better with Teraki technology

Teraki data processing software provides customer’s algorithms to work with more accurate and higher frequency data streams. This means that Teraki is able to get more relevant information from the car to feed the algorithms you work with. The result is higher accuracy rates (more “true positives”) in detecting or predicting events and behaviour.

CPU FOOTPRINT

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.

LATENCY

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.

COMMUNICATIONS

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.

STORAGE

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.

Jobs.

Working at TERAKI

View our job page to see what position we have currently open.

We are a diverse team of various backgrounds and are always looking for exceptional people. See open positions

Partner & Awards.

We received awards and are supported by:

Blog.

Latest Blog Posts

LiDAR & Camera: a strong marriage

Each sensor that captures reality, has its own advantages and disadvantages. In this case, LiDAR is an accurate sensor to measure distance. The camera on the other hand, can capture visual reality and clearly show details as well colours.

Meet the new Teraki DevCenter

With the new improved look and feel, we've been working hard on Teraki's DevCenter in the recent months. DevCenter demonstrates Teraki's capabilities for data reduction to automate accurate and highly efficient EDGE analytics.

Making lossy compression practically lossless

Much like our eyes looking to the stars and for our brains to recognise what the star constellations are, capturing reality through cameras and sensors requires computer intelligence to recognise objects

Contact.

Contact us at [email protected] or call +49 30 2332 7456

For directions to our office, please follow the link below Get in touch