Teraki provides a suite of software development kits that utilize Edge-AI and machine learning to preprocess data from existing sensing devices, enhancing the quality of information for autonomous mobility applications. This technology enables the efficient integration of advanced functionalities in insurance, maintenance, and autonomous driving systems, improving safety and operational performance.
Funding
$11M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Autonomous mobility applications require high-quality sensor data, but existing sensing devices often generate vast amounts of raw data that can overwhelm processing capabilities and increase latency. This data overload hinders the real-time performance and safety of autonomous systems.
Solution
Teraki offers a suite of software development kits (SDKs) that utilize Edge-AI and machine learning to intelligently preprocess data from existing sensing devices. These SDKs enhance the quality of information extracted from sensors, enabling faster and more accurate AI model training and inference. By optimizing data at the edge, Teraki's solutions reduce data volume, lower latency, and improve the efficiency of autonomous systems in automotive, robotics, and other industries. The technology facilitates the integration of advanced functionalities, improving safety and operational performance.
Target Audience
The primary customers are OEMs, technology companies, and system integrators in the automotive, industrial drone, rail, robotics, and warehouse logistics sectors developing autonomous mobility solutions.
Features
- T-FUSION: Sensor fusion SDK combining data from multiple sensors for a comprehensive environmental understanding.
- T-LIDAR: LiDAR data preprocessing SDK optimizing point cloud data for object detection and scene reconstruction.
- T-RADAR: Radar data enhancement SDK improving signal clarity and reducing noise for accurate object tracking.
- T-VIDEO: Video data preprocessing SDK reducing bandwidth and enhancing image quality for computer vision tasks.
- Edge-AI powered data preprocessing for real-time performance.
- Deterministic processing ensures safety and reliability in autonomous control systems.
- SDKs are designed for easy integration into existing sensing devices and systems.