REI GOFFER: Morning, everyone. My name is Rei Goffer. I'm one of the co-founders of ClimaCell. Originally from Israel. Spent 10 years in the Israeli Air Force flying F-16s. Moved here for school, and started ClimaCell about three years ago while studying here in this building.
So today, we're really the global leaders in what we call Micro weather, which is the high-resolution weather forecast. We've raised $77 million from investors, really from everywhere from Japan to the US to Israel. You can see some of the names here on the board. And really, we serve the most weather-sensitive companies and organizations in the world today who are looking for innovation. About 100 employees in three offices, the US and Israel.
So weather forecasts still aren't really great. I guess you all can identify with that. And so the question is, why that is the case. And it really starts with the fact that we don't have enough data on what's going on in the atmosphere at any point in time. That image on the left shows New York City, which is one of the wealthiest cities in the world, with only three high-quality water stations in the entire city.
But I'm sure, as any of you have experienced, there are many, many microclimates within such a large city, and having just three sensors to capture all of that, is definitely not enough. So that's one part of the problem. And if you think about other cities in the world that are less wealthy, obviously, there is even far less data than that.
The other part of the problem is that the models we run, the forecasting models, are very, very coarse. And the reason is that they're run by governments, and governments cannot really hone in on every individual, every independent business, and they have to serve everyone. And so just because of that limitation, the resolution and the accuracy of these forecasts isn't really great. This is the global model that's run by the US on a resolution of 28 kilometers. Not great.
And the result of that-- you know, I'm showing the two extremes here. On one hand, we have thousands of people every year still dying from floods, which is something that we know how to prevent and how to forecast. But we just not do this for 5 billion people around the globe. Exactly what was spoken here before.
And the other side is that the most kind of, high-end usage of weather forecasts, for example, flying drones, is really unsolved today. And this is a quote from Amazon. And they started looking at how they'll actually operate overseas, and they said, well, the weather is not sold. We can't do it. MIT Lincoln actually did a long work on that, and they saw that this is a huge gap today.
So how are we solving it? We basically look at everything in the world and say, this is a weather sensor for us. And we translate data from mobile devices, from wireless signals, from satellites, from airplanes, from IoT devices, into weather information.
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Here is an example from India. This is a weather station on the left side and our sensors on the right. You can see how many more we have. We have products all across the globe from consumer to businesses. And here are some of the partners we have today from again, government, aviation, to large energy companies.
If you're interested to work with us, please come reach out.