Grillo has founded OpenEEW in partnership with IBM and the Linux Foundation to allow anyone to build their own earthquake early-warning system. 

Anyone can deploy or contribute to this open source toolset, which includes the core components from the Grillo EEW.

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photo: Gregory Bull/AP


Open source

There are 3 components to the OpenEEW toolset; sensors, detection systems, and alerts.

Depending on your interest you can install one or all 3 of these and develop your own EEW. 

Alternatively, you can work with existing OpenEEW data to create new detection or characterization methods.


Detection systems


Your skills are needed!

IoT makers

Makers and engineers can improve the firmware and hardware for sensors and alarm devices


Developers,can advance the various docker, node-red, applicatoins that make up OpenEEW


Seismologists or Data Scientists can develop new detection methods with OpenEEW data

OpenEEW sensor

You can buy an OpenEEW sensor manufactured by Grillo. 

This device is programmed to send high precision accelerations to the cloud. The transmission has been calibrated so that no readings are lost (assuming good network conditions).

“IBM is thrilled to continue working with Grillo and contribute to the new open source OpenEEW project in collaboration with The Linux Foundation”
Daniel Krook, CTO
Call for Code, IBM
“A solution like Grillo has been the dream of the engineering community”
Thomas Heaton, Geophysicist, Civil Engineer
“Grillo sensors will provide entirely new opportunities to study seismic behavior of the ancient lake basin, and a denser network for earthquake early warning in Mexico City.”
Marine Denolle, Professor of Seismology
Harvard University
"Grillo's OpenEEW Project represents the very best in technology and in open source”
Mike Dolan, Senior VP
Linux Foundation

“This earthquake alarm can predict when tremors will strike”

“A solution like Grillo has been the dream of the engineering community”

“Grillo could save thousands of lives”

“Grillo’s sensors collect microdata on effects of shaking which could better assess risk of damage”