I have worked with a number of AI tools - both webbased and locally installed tools - and have a background in mathematics/statistics. So I am familiar with this space.

My suggestion is first and foremost focus on the use case - forget that it is an AI tool. If your tool provides value, and solves problems for your customers, they will come no matter the underlying technology.

When you say "web driven", I assume that this is some kind of subscription model, and you don't expect to sell anything face to face? Again, I would focus on use case (we solve problems), value creation (how much do we save or make?), ease of use (just upload this file and watch the magic happen), cloud installation (no need for own maintenance or local data scientists to maintain models).

In the AI-space, your competitors are often internal employees - data scientists, statisticians, etc., and they are familiar with their own tools. So find out, who is your target segment in the businesses. Most likely a data scientist would tell you, that "I could build that myself". But what about following maintenance cost, depending on individuals, etc. So do you target to data scientists or business users? Often successful projects happen in collaboration; one can not live without the other.

With regards to your focus on the US I am curious, why you focus there. Is that where you are located physically? Or there you see the most likely target customers? Since you are web driven SaaS, couldn't you go anywhere?

I hope this helps. Feel free to schedule a call, if I can help you further with this.

Best regards
Kenneth Wolstrup