Shekhar Natarajan

Right.

And, you know, there are a couple of people who have come out of like, you know, open AI, set up their own shop.

And each of these companies are worth like 24, 25 billion dollars and raise like, you know, four, five, six, seven billion dollars.

Right.

So and that is all seed round, by the way.

They are not like series A. Just coming out of the gate, like some of the world thinks these scientists know better what they're trying to do.

The problem is, this is not a scientific problem.

This is a trust problem we are trying to solve.

You know, you can hire the best scientists, but if they can't fix the world problem, you just wasted your money.

What you need is a practical application of how this is going to be applied in society and in enterprises.

you need to have that common sense you can have the best scientist but that fellow doesn't know how to tie a shoelace then it's of no use so this is what is happening like all these systems came out with no context of how it can destroy humanity and it was like thrown out into the world so we are seeing validation that people who are talking remotely close to my idea are raising a lot of money

Now let's talk about what I am trying to raise money for.

So we are trying to raise money much more in a very resourceful way.

We don't want to spend a lot of money.

So we will raise 50 million dollars but we will raise it in three tranches because we want to be based on milestones.

15 million, 15 million and 20 million.

Where does the money go?

The money goes primarily in four things that we're trying to do.

First is we have to train our models to make them much more efficient.

So every time you ask a question, it gives much, much, much, much better answer than basically what like the traditional systems do.