Earthquake Early-Warning systems for the world 

For years costly EEW systems have been exclusive to a handful of governments. At Grillo we have developed an affordable and rapidly-deployable alternative.  We wish to democratize this life-saving technology by combining the powers of open data & seismology.
Join the community to access years of seismological data, detection algorithms and even hardware schematics. Ready to start? 
Get access to our datasets
Our Partners

What is OpenEEW?

 During the last 3 years we have collected a huge amount of data from the sensors we installed along the Mexican and Chilean pacific coast. This has allowed us to develop complex algorithms that detect earthquakes. Our OpenEEW project aims to offer these assets to as many people as possible, and help them protect vulnerable communities all around the world.
Explore years of our accelerometer data, including large magnitude earthquakes in Mexico and Chile. 
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Play with our earthquake detection algorithms, and join our community to make them better!
Learn how to build your own seismic sensors at low cost and contribute to a global EEW
16 April 2019  |  12:30 pm (CT)

[Webinar] Introduction to OpenEEW 

Watch in replay

What can I do with OpenEEW?

Detect earthquakes from our data

Open data + seismology = ❤️
Explore 3 years of raw accelerometer readings with common programming languages and try to detect the earthquakes and other interesting seismological phenomenons that occured in Mexico and Chile!
Get Access

Predict shaking in distant locations

Many existing EEWs are simply binary alarms. Help create intelligent alerts that tell people precisely how they will feel the earthquake, and in how many seconds time. Use machine learning to calculate the effects future earthquakes will have on neighbouring populations.
Read The Documentation

Build and deploy your own seismic sensors

You’d like to build your own seismic sensors to protect your local community? You’re in the right place! Explore our hardware tutorials to understand how to create affordable and powerful sensors, and help save lives!
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Create an universal EEW guide

Guidelines regarding how to react to earthquakes before, during and after the shaking change according to the country you’re living in. Help us create an universal handbook so people all around the world know exactly how to react when the quake is coming!
Join the OpenEEW Community

Who is it for?

Earthquake Early-Warning systems are difficult to create, deploy and maintain. By creating a community around the work we have started, we hope to advance the technology and implementation in remote areas of the world.
Explore years of our unique accelerometer data and train your detection algorithms
Build and improve our IoT seismic sensors, equip your local community and save lives!
Seismology within your reach: play with open data, and maybe build your own product or app
Build your own seismic sensor networks and alerts to increase resilience in your communities.
Get access to our |
Discover our ressources to start playing with OpenEEW!
Blog Posts
Read our latest publications and tutorials on our Medium
Library, Read Me, Code of conduct….
Forum, Frequently Asked Questions…

Does your organization need a custom EEW solution?

You’d like to build your own system but don’t want the hassle? Grillo can design and implement sensor networks and alerting solutions for your organization’s needs.
Contact Us

Want to go further?

We plan to offer access in the next few months to our streaming sensor data at an affordable price – so you can build your own earthquake early-warning apps for Mexico and Chile ! 
Contact Us
Try our our EEW mobile apps built on our real-time data!
App Store
Google Play

“A solution like Grillo has been the dream of the engineering community for a long time”

Thomas Heaton, Civil Engineer, Caltech, Science Magazine, February 2019
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earthquake protection insurance coverage business quake seism system detection early warning
earthquake protection insurance coverage business quake seism system detection early warning
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