Use Cases
- Reduces transmitted data by 2-6x
- 2-4x longer device uptime
- Lower network usage across BLE, WiFi, LoRa, and sub-GHz radios
- Minimal CPU and memory footprint
- Extended battery life
- Real-time compression for continuous data streams
- High throughput compression (20-50 MB/s)
- Real-time performance in multi-sensor applications
- Seamless integration with existing firmware stacks
Features
Superior Storage Efficiency: Delivers 2-5x better compression than common market solutions, while preserving 100% accurate reconstruction of the original data
Fast Data Access: Optimized for streaming and iterative workflows, allowing rapid access to compressed segments without decompressing everything
Optimized for Embedded Hardware: Designed for microcontrollers with low RAM and FLASH, enabling seamless deployment on ESP32, ARM Cortex-M, and other resource-constrained IoT MCUs
High Throughput: Compression and decompression speeds of 20-50 MB/s on Cortex-M and ESP32-class processors, enabling real-time performance even in multi-sensor applications
Seamless Integration: Works with major embedded and IoT platforms, including FreeRTOS, Contiki-NG, Windows, Linux, and custom bare-metal environments
Benefits
Deployment Options
Deploy on ESP32, ARM Cortex-M (M0, M3, M4, M7), and other resource-constrained IoT MCUs.
Works with FreeRTOS, Contiki-NG, Windows, Linux, and custom bare-metal environments.
Optimized for edge devices requiring low-power compression with minimal CPU and memory footprint.