Charles Yeomans

We have committed investors who are saying that they will continue to support it.

If we don't get out of our own way and really get some sales rolling, then we've got to look at all sorts of things.

Yes, that's absolutely right.

So essentially, it's this, that we take a really old idea, which is the use of codebooks, and we combine that with some pretty fancy math that's MIT-level stuff.

along with machine learning.

And what we do by doing that, we're able to take advantage of the fact that you see a lot of patterns in these little files that machines generate, IoT files.

But we see instead of one, like compression does, we look in thousands.

And because of that, and because of our use of code books, we make a piece of software that is small, light, ultra fast, 400 times faster than compression.

And it will work on the tiniest little files, as you can imagine, like under 10 bytes.

And if you were to try to apply compression to that,

you would find it will make them bigger consequently because we're super fast and we reduce it on an average of 75 we get a an average of four times more bandwidth simply with software so we can take your existing network and quadruple its capacity interesting now what do people pay uh you on average per month to use the technology

It varies tremendously because the uses are so varied.

If you were to talk about somebody using it, say, over satellites, they might be, if they're, for example, they were paying $10,000 a month, they might be paying us a couple thousand dollars.

But they're also avoiding paying $40,000 that they would be paying if they didn't use our stuff.

So it's a pretty good deal.

Yeah.

But I mean, I got to tell you that the companies that are either using it or considering using it are extremely large.

I mean, we're talking Fortune 100 size.

And they are talking about, in many cases, deploying it on a huge number of machines.

Yeah, it is.