Exodigo

Exodigo is a developer of a non-intrusive subsurface imaging system. The company's platform uses a combination of multi-sensor fusion, artificial intelligence, and 3D imaging to improve underground imaging and accuracy for excavation, intended to reduce damages associated with the excavation process. This includes the capability to detect buried objects, such as man-made pipes and cables, soil layers, minerals, and groundwater. The combination of sensors can be used on small carts or drones to scan the ground in different terrain and construction types.

Exodigo's technology borrows ideas from medical imaging, and, unlike other methods of underground mapping whichthat deploy one or two kinds of sensors, Exodigo uses a combination of sensors along with artificial intelligence (AI) and signal processing, which the company likens to combining the results of an MRI, CT scan, and ultrasound into a single image. The use of these several different systems together is intended to overcome the difficulties of subsurface imaging, caused in part by the soil's absorption or attenuation of most of the electromagnetic spectrum.

Exodigo's technology is developed to be capable of being deployed either by a small cart or can be carried on drone systems. The technology is also developed to free imaging from traditional "follow the line" scanning methods, and instead scan entire areas in a criss-cross or snake path method to capture a high density of data points. This is intended to remove human error and bias from the scanning process and maximize the completeness of the scanning data.

The sensors used by Exodigo's system commonly include multi-frequency induced and passive electro magneticselectromagnetics; magnetic gradiometer; electrical simulations in time (TDEMI), frequency (FDEM), and aerial (AEM) domains; and multi-frequency multi-channel ground penetrating radar (GPR). By using multiple sensors, Exodigo's technology is capable of capturing a thousand times more data than conventional locators and, thereby reducereducing on-site human decisions and calculationcalculations by processing the data in the cloud.

Exodigo is a developer of a non-intrusive subsurface imaging system. The company's platform uses a combination of multi-sensor fusion, artificial intelligence, and 3D imaging to improve underground imaging and accuracy for excavation, intended to reduce damages associated with the excavation process. This includes the capability to detect buried objects such as man-made pipes and cables, soil layers, minerals, and groundwater. The combination of sensors can be used on small carts or drones to scan the ground in different terrain and construction types.

Exodigo was founded in 2021 and is headquartered in Tel Aviv and Palo Alto, California. Founded by Jeremy Suard, Ido Gonen, and Yogev Shifman, the company seeks to help companies in the transportation, utilities, construction, mining, and other industries excavate safely and reduce time lost by blind digs and damaged utilities. The company has its sights on developing the technology for use in off-planet mining operations.

Exodigo's technology borrows ideas from medical imaging and, unlike other methods of underground mapping which deploy one or two kinds of sensors, Exodigo uses a combination of sensors along with artificial intelligence (AI) and signal processing which the company likens to combining the results of an MRI, CT scan, and ultrasound into a single image. The use of these several different systems together is intended to overcome the difficulties of subsurface imaging, caused in part by the soil's absorption or attenuation of most of the electromagnetic spectrum.

Exodigo's technology is developed to be capable of being deployed either by a small cart or can be carried on drone systems. The technology is also developed to free imaging from traditional "follow the line" scanning methods, and instead scan entire areas in a criss-cross or snake path method to capture a high density of data points. This is intended to remove human error and bias from the scanning process and maximize the completeness of the scanning data.

The sensors used by Exodigo's system commonly include multi-frequency induced and passive electro magnetics; magnetic gradiometer; electrical simulations in time (TDEMI), frequency (FDEM), and aerial (AEM) domains; and multi-frequency multi-channel ground penetrating radar (GPR). By using multiple sensors, Exodigo's technology is capable of capturing a thousand times more data than conventional locators and thereby reduce on-site human decisions and calculation by processing the data in the cloud.