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

This sounds more like a marketing question. However, if you want to showcase your AI tool; is the best way to go to get the word out. Showcase at a conference to demonstrate your particular model and how it's benefits and cost-effective next to competitors. Also, ensure you know the security policies and practice for the region you are wanting to move into. This will allow businesses to know that they can trust your model and use it without any repercussions.

Entering the U.S. market is a great strategic move, but it comes with its own set of challenges. I'd suggest starting with a small-scale pilot program to test market receptivity and cultural fit, especially in areas like leadership styles and operational norms. Pay attention to key metrics like user engagement and ROI.

Once you've fine-tuned your AI tool based on these initial insights, then you can ramp up your marketing efforts. But before you go all in, make sure you've considered regulatory compliance and data privacy laws specific to the U.S.