Naveen Jain

And we said, look, to solve this problem, there are three things that have to happen. We have to be able to digitize the human body. We have to be able to take massive amount of data that's coming from this digitization and to be able to process the data. And number three, the AI has to be powerful enough to be able to make sense of all this data.

And we said, look, to solve this problem, there are three things that have to happen. We have to be able to digitize the human body. We have to be able to take massive amount of data that's coming from this digitization and to be able to process the data. And number three, the AI has to be powerful enough to be able to make sense of all this data.

So I said, okay, let's understand what is it that's going on in the industry that will allow us to do so. The cost of sequencing is still $1,000 to understand just the one simple sample. And if you were to sequence, it's $1,000. And we said, that's too high. We can't solve this problem. But it used to be $100,000, $10,000. It is $1,000.

So I said, okay, let's understand what is it that's going on in the industry that will allow us to do so. The cost of sequencing is still $1,000 to understand just the one simple sample. And if you were to sequence, it's $1,000. And we said, that's too high. We can't solve this problem. But it used to be $100,000, $10,000. It is $1,000.

In the next three to five years, it will come down to $100 because its cost is plummeting. Guess what? Seven years later, Ilana, it is now down to almost $5, right? So think about it for a second. When we were 10 times optimistic, it turns out we were 20 times pessimistic because the costs were plummeting even faster than we imagined. I will come back and explain.

In the next three to five years, it will come down to $100 because its cost is plummeting. Guess what? Seven years later, Ilana, it is now down to almost $5, right? So think about it for a second. When we were 10 times optimistic, it turns out we were 20 times pessimistic because the costs were plummeting even faster than we imagined. I will come back and explain.

When technologies are on exponential curve, our human mind cannot ever fathom how fast they move because human mind is designed to think linearly, whereas these technologies are growing exponentially. And for example, if you were to ask and say, Ilana, you have two options. I'll give you a hundred million dollars right now. Or I can give you $1, but for the next 30 days, I will double every time.

When technologies are on exponential curve, our human mind cannot ever fathom how fast they move because human mind is designed to think linearly, whereas these technologies are growing exponentially. And for example, if you were to ask and say, Ilana, you have two options. I'll give you a hundred million dollars right now. Or I can give you $1, but for the next 30 days, I will double every time.

So I'll give you $1 today and the $2 tomorrow, and I'm going to give you $4 and then the $8. And you do the math and say $8 becomes $16, becomes $32, $64. And then with $64, $128, $256, $512, $1,000. And I'm already at eight days. And I'm thinking in 30 days, never is going to be a million dollars, let alone $100 million.

So I'll give you $1 today and the $2 tomorrow, and I'm going to give you $4 and then the $8. And you do the math and say $8 becomes $16, becomes $32, $64. And then with $64, $128, $256, $512, $1,000. And I'm already at eight days. And I'm thinking in 30 days, never is going to be a million dollars, let alone $100 million.

without realizing that 30 doubling later, it is a billion dollars. And that is the part of the thing that human mind just never, because it looks at the early things and it forgets the part. So that was first part was cost of sequencing was coming down. And then we looked at and saying to process, we will never have access to supercomputer, but we can use the cloud computing.

without realizing that 30 doubling later, it is a billion dollars. And that is the part of the thing that human mind just never, because it looks at the early things and it forgets the part. So that was first part was cost of sequencing was coming down. And then we looked at and saying to process, we will never have access to supercomputer, but we can use the cloud computing.

And we looked at the cost and they said cost was at that time was about $47. And we say, wow, that's a lot of cost to process a single person's data. But it has come down. Cost of storage is coming down. The cost of CPUs are becoming more faster and cheaper. This should come down to about $10 in the next three to five years. And today we spend about $1.50 on that.

And we looked at the cost and they said cost was at that time was about $47. And we say, wow, that's a lot of cost to process a single person's data. But it has come down. Cost of storage is coming down. The cost of CPUs are becoming more faster and cheaper. This should come down to about $10 in the next three to five years. And today we spend about $1.50 on that.

And AI, by the way, everyone has realized that AI was going to be more and more powerful and we will have the AI that we needed for doing that. So we realized the time to start was there. Then came the biggest part, why me? And again, I am not a scientist. I am not a doctor. And here is the problem that I'm trying to solve in healthcare. Know nothing about it.

And AI, by the way, everyone has realized that AI was going to be more and more powerful and we will have the AI that we needed for doing that. So we realized the time to start was there. Then came the biggest part, why me? And again, I am not a scientist. I am not a doctor. And here is the problem that I'm trying to solve in healthcare. Know nothing about it.

And most people will be so scared about not knowing anything. People say, you're not a doctor. You're not a scientist. How are you going to solve it? And I think as I was telling you that non-experts are better at solving the problem than experts are. And here's why. Every expert takes the foundation to be granted because that's what makes them an expert.

And most people will be so scared about not knowing anything. People say, you're not a doctor. You're not a scientist. How are you going to solve it? And I think as I was telling you that non-experts are better at solving the problem than experts are. And here's why. Every expert takes the foundation to be granted because that's what makes them an expert.

The foundation of the industry, they take it for granted because the foundation knowledge is what makes them an expert. Non-expert are the only one that can challenge the foundation of everything that experts have taken it for granted. So here I am. never done a healthcare company. And my first thing was, wait a sec, everyone in the industry is asking, they want to know about your DNA.

The foundation of the industry, they take it for granted because the foundation knowledge is what makes them an expert. Non-expert are the only one that can challenge the foundation of everything that experts have taken it for granted. So here I am. never done a healthcare company. And my first thing was, wait a sec, everyone in the industry is asking, they want to know about your DNA.