Exodigo

The problem: a partial picture of the underground

Before laying a railway line, a water pipe or power infrastructure, you need to know what is already in the ground. The traditional answer is a combination of old, inaccurate maps, spot test drilling, and geophysical tools that each "see" one thing and are blind to another: ground-penetrating radar works well in dry soil and badly in clay, and electromagnetic methods detect metal but not plastic pipes. The result is projects that are delayed and become more expensive when something unexpected turns up.

Sensor fusion as the solution

Exodigo, founded in 2021 by veterans of military technology units, did not invent a new sensor. It mounts several types of sensors on drones and on scanning carts, and runs a model on their readings that merges the sources, each with its own strengths, into a single 3D map in which every object is classified by type. This principle, sensor fusion, is exactly what turns a collection of noisy measurements into a picture you can rely on.

An unusual pace of funding: from Series A to Series B

The funding rounds document an unusual pace for a young company: $105 million in a Series A round that closed in February 2024, according to the company's official announcement. In July 2025 it raised another $96 million in a Series B round, led by Zeev Ventures and Greenfield Partners, which doubled the company's valuation. The technology is used in infrastructure and railway projects in the United States and Israel, including high-speed rail lines, local transportation authorities and power companies.

Dual use: infrastructure and defense

The same capability is also relevant for defense use, locating cavities and tunnels beneath the surface, and this was mentioned extensively in the Israeli coverage of the company. It is another case of dual-use technology born in an environment where the line between the civilian and defense markets is thin to begin with.

The economics of early discovery

The comparison that explains the value is an economic one: the cost of a late discovery in an infrastructure project (a burst pipe, a delayed schedule, a section that has to be redesigned) is orders of magnitude higher than the cost of scanning in advance. That is why this is one of the cases where it is relatively easy to justify the investment up front, even in a conservative industry.

The challenge still open: verification

The technical challenge that remains open is verification. Unlike medical imaging, where the reading can be compared with what is found in surgery, it is hard to know whether an underground map is correct without digging and checking. Companies in the field build trust mainly through projects in which actual digging confirmed the prediction, and this is a slow process by nature, which makes the company's pace of funding especially unusual for the stage it is at.