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“That is going to happen.”

“We were the first company globally to talk about data-driven farming. In US and Europe also, you know, many startups has come up, but they came after”

“Today it takes even eight to nine months and even 12 months to give the money to the farmer, even if his crop has failed, because all the validation is manual. But with this kind of system, you can make the payouts within a, you know, within a day or 15 days.”

“Irrigation scheduling, pest disease detection, not detection, prediction. That what pest you can expect in next 15 days with more than 90% accuracy. So without even it has happened, we can predict that this is coming.”

“So actually we processed 10 by 10 meter pixel. We divided the country, India as a country into 10 by 10 meter pixels. And we tagged that pixel that which, what is the story of that pixel? In 2017, which crop was there? In 2018, which crops were grown? What was…”

“So we are at 2.4, and our visibility is to close it at 4.5 million a hour.”

“So there are two, three, five, six customers we are talking to, two, three customers will convert, and the ticket size are going to be a north of a million dollar.”

“And to our surprise, we are in 52 countries today. Almost all the large enterprises are using our product, not only in one country, but in multiple countries, we manage around eight million acres of production on our platform. With 400 different crops and 9000…”

“We are present in the 52 countries. So our models are learning about the crop from all those different climatic zone, different countries, and also have building the ability to transfer learn, right?”

“For example, we work with companies who are into farm farm production, like McCain, ITC Philip Morris, Syngenta.”

“For example, if you look at McCain, McCain does potato growing for their chips making. They engage in the background, a lot of farmers to grow the potato. So, but the company will pay our pay to us, but they will use our platform to manage their 100,000 grower…”

“So if you look at our international, international customers pay us on an average you know, 50,000 dollars, some customers have a hundred K, 200 K dollars also.”

“And if you look at Indian businesses, they are somewhere around 13,000 dollars on an average. But again, there are customers who are at the enterprise level paying more, more than that.”

“Close to 10%.”

“So we closed at 2018. We closed March 31st. We closed at 1.5.”

“There are customers who are paying 300 K as well in our as a error. I mean on the yearly basis.”

“Syngenta is a multi-million dollar company. They are using our product in 20 countries.”

“So you guys so far have digitized nearly 3.2 million acres of farmland, enriching the lives of nearly 2.1 million farmers. So those are all the farmers managed by the managers at McCain or your other enterprise customers, in addition to creating a footprint in…”

“We are building those models to detect and predict. So we can predict crops in Nigeria, which plots are on which crop, and then what is the health, what is the yield, and helping the supply chain manager, commodity traders, banking, and insurance industry base…”

“So, you know, if you look at our value churn is one percent... I think it's monthly.”

“So I think after that, it took one and a half year for us to reach to a million, and then after that, yeah, the story was completely different.”

“A 150 people.”