To protect us from earthquakes, SeismicAI only needs three seconds

Regarding natural disasters, earthquakes can be some of the worst. One third of the world’s population today lives in a seismic zone and can be exposed to it at almost any time. And while they may vary in size and scale, their unpredictability can mean billions of dollars in damage and potentially thousands of lives lost if they choose to strike an unaware population.

“No one can tell you that you’re going to have an earthquake in a couple of days – not even two minutes from now,” SeismicAI CEO Benjamin Sasson explained. Sassoon originally joined the company in 2017 as Chief Technology Officer and earlier this year became its CEO. The company claims to have developed a system that uses a combination of algorithms developed at Tel Aviv University using artificial intelligence to help countries determine when an earthquake occurred. And while the purpose is not to prevent this from happening, the SeismicAI software can provide anywhere from 3-90 seconds of warning which might just be the difference between life or death.

SeismicAI CEO Benjamin Sasson. Photo: SeismicAI

“Of course we can’t prevent buildings from falling, but we can reduce a lot of damage by using automated preventative measures,” Sasson explained. Speaking with CTech, he describes a use case in Istanbul, Turkey, which is currently planning an inevitable earthquake strike that could affect its 20 million residents. When we talk to the gas companies in Istanbul, all they want is three seconds to reduce the pressure in the gas pipes. The scenario prevailing in Istanbul is that in the event of a strong earthquake, something will happen in Istanbul…the whole city of Istanbul will be on fire. It will burn because the whole city is sitting on a network of gas pipes.”

Each country prepares for earthquakes in its own way, which makes it difficult for countries to share their systems with each other. Sassoon acknowledges that the United States, which has 143 million Americans vulnerable to serious earthquakes, has an “excellent system” in place to help prevent damage. However, most earthquake early warning systems rely on decades of region-specific empirical data. Simply moving a system offshore can take years for it to catch up with the required data.

SeismicAI avoids this problem by integrating different types of sensors into its physical systems to get reliable and accurate results, usually up and running in just 2-3 weeks. Then it uses low-magnitude earthquakes, usually around 2.5, and takes their data to help tweak algorithms and predict earthquakes larger than more than five. Today, the company collaborates with academic institutions and government agencies in Israel, Canada, Turkey and India to implement its services and help businesses or citizens get early warnings when a danger occurs.

“If an earthquake is detected in the Himalayas, it will give about 90 seconds or more of warning time to the residents in the New Daily. If we are talking about something closer, if it happens in the Dead Sea, it will give Tel Aviv 10 seconds.”

Of course, warning times depend on how well residents rest near the epicenter of any given earthquake. “If you’re sitting on top of the epicenter, there probably isn’t much we can do. The only thing our system sells for is time.” Sassoon highlights that in Los Angeles, 12,000 people could die if an earthquake occurred at any time, simply because rescuers would not have access to those trapped in the elevators. If SeismicAI is deployed by government or privately owned buildings, it can use a 2-3 second warning to quickly and automatically stop at the nearest floor and open its doors to those inside. An example of a SeismicAI tracking in Istanbul, Turkey. Photo: SeismicAI

SeismicAI has two deployment models: The first is a private network similar to the one used in Istanbul. The Company has complete control over the network and its alert systems which can be deployed via SMS, mobile application or any other method. This unit allows SeismicAI to replicate its model and partner with different regions and local companies that help maintain the system “as feet on the ground”. The second model is emerging in countries like India, which operates through a grant from the Israel Innovation Authority and a local equivalent in India. In this case, the customer is the government that buys the service and is therefore responsible for the alerts.

SeismicAI currently has 12 employees and is looking for funding so it can expand its operations in the private typical portion of its business. While the company can enjoy the fruits of the Indian deal that it says has cost the government $160 million, it describes private networks as the main driver for growing its business. He concluded that “the government sector has huge potential, but things are moving slowly.” We expect revenue from the government sector only at the end of next year. But we expect revenue from the private sector using the private network in the second quarter of 2022.”

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