Abhilasha Parwar

So our data set is not static.

It's dynamic.

So once we deploy our algorithms on the cloud, that data set is being generated at a temporal frequency of that particular category.

So it could be daily.

It could be once in two days.

It could be weekly.

Usually our frequencies, temporal frequencies for everything is less than once a week.

So you get like either daily or once in two or three days.

So we started in January, 2019.

We're going to finish three years.

We started in my living room actually just there.

Me and my brother and two of our first engineers, and we were all literally operating out of my savings because I used to work at a private equity firm in Connecticut before this.

So we were just, you know, chilling on a computer table, eating pizzas and writing code.

And we got interested in satellite data because, you know, it's growing very exponentially, both the number of satellites that are going in the orbit and

and the resolutions that they capture.

It's same to our iPhones, you know, the resolution, you can now zoom your iPhones by like six X. This wasn't happening like five years ago.

And that's the same thing with satellites.

So we are able to get snapshots of earth all the time for different locations, for different parameters.

And we clean that data, crunch that data, make sense of all of this huge volume of the data that comes down.

And we put it for climate action because we really need to know what's happening in our planet to be able to save our planet.