Expanding the IoT with Self-Powered Chips
Powering tomorrow's Ambient-IoT using nature's energy
About Everactive
Innovative Ambient-IoT Solutions
Improve YOUR IoT devices by using Everactive's systems-on-chip (SoCs) to create your own batteryless wireless solutions! At Everactive, we pride ourselves on creating groundbreaking solutions for wireless Ambient IoT devices. Leveraging two decades of circuit technology R&D, Everactive's chips can sense, process, and wirelessly transmit data continuously - all from energy harvested from the environment.
Products
Everactive chips are the lowest power wireless SoCs on the market. They include a 32-bit ARM core, low-power radio receiver, energy-harvesting power management unit, and analog and digital sensor interfaces.
Break free from the battery
Batteries cannot power the Internet of Things at scale. Deploying billions of battery-powered sensors could ultimately undermine 80% of the IoT’s value as a result of manual maintenance requirements, gaps in data due to finite lifespans and power-conservation techniques, and the environmental harm caused by the production and disposal of such a massive quantity of batteries. Everactive's chips allow you to untether from batteries to operate continuously, allowing you to put more sensors into more places that are active more of the time.
Low-power wakeup radios
Everactive’s ultra-low power wakeup receivers are compatible with WiFi, Bluetooth, sub-GHz, and the next generation of 5G cellular IoT standards. They enable long range, low latency, and robust data throughput at a tiny fraction of typical receiver power. That means end users can cost-effectively achieve low power and worldwide compatibility, without sacrificing connectivity.
Collect data where others can't
With an overwhelming percentage of today’s connected data still both user-generated and digitally native, there stands an enormous opportunity to extract and analyze meaningful data from trillions of physical-world items. Everactive’s self-powered toolkit extends the reach of today’s Internet of Things by monitoring assets where other can’t, generating an enormous new class of hyperscale IoT data to feed our developers’ ever-growing machine learning and artificial intelligence models.