Krishna Kumar

And I thought there is no such platform which is actually bringing this whole ecosystem closer.

where you can remove the information as symmetry and provide all the right advisory to the farmer, right from the advisory and also financial product to them so that they can expect more and become a bit of farmer.

have enough cash flow to do experiments and help their family as well.

So our strategy is not only to help them to grow better, but also we are helping banks and insurance companies to reach out to this farmer, provide data insights to them that you can actually go and lend this farmer because he has been a very good farmer for the last three years, opening up the black box for them, and help them to underwrite a loan.

And also bringing down the cost of monitoring and underwriting for the bank so that it becomes a viable business for them.

Correct.

So it's basically, it's mostly a machine learning and AI based system, which when the banks try to lend to a farmer.

Close to 10%.

We have worked with close to 185 companies across the globe.

So we are in 29 countries.

Mostly our target customers are enterprise.

And once we acquire them, we go to multiple countries where they are working with the farmers and they onboard the farmers on the platform.

So, uh, the strategy is to go to the enterprise first and then to the midsize market.

So you can call it as a 4.5 million error.

We are targeting because some customers will be on the pilot stage and then they scale up over to what are you at now though?

So we closed at 2018, we closed March 31st, we closed at 1.5.

So we are at 2.4 and our visibility is to close it at 4.5 million a year.

Yeah, because all the hard work of a few months are going to close in this one.

So we are in a negotiation and all that stuff.

Yeah, so that has been always a heavy year for us in terms of the ARR.