Less Data. More Intelligence.

Ambiq's compressionKIT™ is an advanced AI-powered codec that aims to lower the power and memory usage when handling continuous sensor data, such as from wearables and other edge devices, before it is stored, transmitted, or analyzed—enabling more intelligence with less data.

compressionKIT Highlights

01

Up to 20x Data Compression*

Achieves as much as 20x compression of continuous sensor data while preserving critical features for AI and analytics.

02

Up to 16x Lower On-device Memory Usage**

Enables longer data retention and reduces storage requirements.

03

Energy Multiplier

compressionKIT reduces transmission energy by sending fewer bits over the air, helping extend overall battery life.

04

Configurable Targets and Workflows

Supports adaptable edge-to-cloud processing, including real-time on-device inference, compressed cloud transfer, and customizable compression levels (2x –16x) for developers to balance performance and constraints.

Applications

Smart Watches

  • All-in-one wearables that track activity, heart rate, sleep, and notifications, while enabling advanced health insights like ECG and stress monitoring in a convenient, everyday device.

Smart Rings

  • Compact, discreet wearables designed for continuous health tracking, such as sleep quality, heart rate variability, and recovery without the bulk of a wrist-based device.

Fitness Bands

  • Lightweight and affordable trackers focused on core metrics like steps, calories, heart rate, and workouts to more advanced monitoring such as stress, sleep, and arrhythmia detection.

Remote Patient Monitors

  • Medical-grade devices used to track vital signs such as blood pressure, glucose, or cardiac activity, enabling clinicians to monitor patients in real time outside traditional healthcare settings.

Design Resources

Additional Documentation

  • Set favorites
  • Get update notifications
  • Use search filters

Video Library

Frequently Asked Questions (FAQ)

  • Baseline assumes uncompressed transmission of raw data. Results were measured on the Apollo510 using two-channel PPG sampled at 64 Hz in 4-second windows. Reported compression combines a fixed 16x reduction from the compressionKIT model with a dynamic entropy encoder, achieving average compression ratios of up to 20x over one minute of data. The data compression ratio at 20x is not deterministic.

  • Memory usage reduction is based on internal benchmarking on the Apollo510 of compressed versus uncompressed data storage under the same operating conditions. Actual savings may vary depending on signal characteristics, sampling rates, and application requirements.

  • It is designed for continuous sensor data such as signals from wearables and IoT devices (e.g., heart rate, motion, or other biometric/telemetry streams).

  • It addresses a major challenge in edge AI: continuous sensor data streams consume significant memory, power, and bandwidth. compressionKIT reduces these costs at the source by compressing the data efficiently.

  • By reducing the amount of data transmitted, compressionKIT lowers communication energy consumption, helping extend battery life in edge devices.

  • These devices generate continuous data but operate under strict power and memory limits. compressionKIT enables them to process and retain more data without increasing hardware requirements.

Preparing to download