Unleashing IoT Sensors Through
AI-Powered Compression

We help your IoT sensors transmit more data while using fewer resources. Our advanced AI-powered compression technology drastically cuts transmission costs, allowing you to deploy more sensors and transmit richer data without needing extra infrastructure. Just as Dolby revolutionized audio, bitteiler is reshaping how sensor data flows across IoT networks.

More Data. More Sensors. Less Costs.

Our AI-powered compression reduces data size by up to 90%, without losing any information. This allows for faster data transmission and reduces storage requirements.

By minimizing data load, our technology reduces power consumption, extending the battery life of IoT sensors by up to 30%, which helps to cut maintenance costs and downtime.

Our solution integrates seamlessly with existing IoT devices, requiring no additional hardware. It’s compatible across various sensor types, making deployment simple and quick.

Our compression technology processes data in real-time, ensuring rapid data flow without adding latency. This is crucial for time-sensitive applications like predictive maintenance.

Achieve significant cost savings by optimizing data transmission across your IoT network. Our solution enables you to transmit more data at lower costs, making your IoT infrastructure more affordable and efficient

Our AI-powered compression reduces data size by up to 90%, without losing any information. This allows for faster data transmission and reduces storage requirements.

By minimizing data load, our technology reduces power consumption, extending the battery life of IoT sensors by up to 30%, which helps to cut maintenance costs and downtime.

Our solution integrates seamlessly with existing IoT devices, requiring no additional hardware. It’s compatible across various sensor types, making deployment simple and quick.

Our compression technology processes data in real-time, ensuring rapid data flow without adding latency. This is crucial for time-sensitive applications like predictive maintenance.