Aaron Lee

We're using AI to do some of, I call it behind the scenes stuff, back-end processing.

Now with the chat GPT, we can actually do kind of like more front end.

We can have an AI voice bot to talk to you that can collect your name, your email, your phone number.

We can actually have a conversation with you.

And the outcome of the conversation is we have the entire call flow.

We know where your customers are calling you from the time of the day, the day of the week, where did they call you from?

and what they're calling about.

So if you look at the calls and the chats today, ChatGPT, they're using all the public data, public information, but there's so much information that is not public.

Like all the calls and the chats for the company and for the businesses, they're not.

So we have all the advantage.

And on top of that,

If you look at all the generative AI, they can afford to make mistakes.

But for us, we can't, right?

If the business is saying, hey, we charge like $50, like upfront kind of like reservation fee and other business, they charge nothing.

We have to tell the exact right answer every time.

We cannot make up an answer.

I think that is where the AI becomes a little bit challenging because of the accuracy, like AI hallucination.

latency right if you look at chat gpt sometimes it takes three to four seconds yeah wants to come back so just be clear on capitalization have you raised equity to date and if so how much yes we did we did i think together like we raised like with us angel investors and the safe note i think i was close to 13 1 3. yeah okay and what was a safe note cap was it capped or uncapped

Oh, it's much higher than that.

I think it's higher than that.