So we are actively in the market building relationships with prospective customers. In addition to that, we have also published a research paper in conjunction with Pearl.ai and Emmet Research demonstrating that our dataset has advantages for automated recognition systems, the visual recognition systems. That is a marketing effort clearly to get our name out there. We've been very highly ranked on Hugging Face since we published that paper. With any new B2B product, for us, this is really brand new. We're now seeding the market, no pun intended, and building those relationships so that we can meet these bespoke needs. One of the problems that we have come to recognize is that many of these foundational models are not able to source these unique needs that they have with materiality and in a short period of time. The promise we bring to the table is being able to fill that need. Clearly, if we just look at images on the GuruShots side of the house, if a model has a specific need of unique content that is not something that they can readily get their hands on, we can reach out. We can launch a competition or even engage with our photo enthusiasts in our community in order to amass volume associated with that particular need. Of course, we can't handle every request that is on the market. By way of example, we're not providing photographs of internal organs, which are really important for AI models and how diseases are recognized and discovered and so on. Yet there are many, many use cases. Just to mention one, we've come across an entity that's trying to build a model that will render shadows accurately. That's a very complex quest, you know, issue. Just take as by way of example. You're sitting in your office, the curtains are open, you've got overhead lighting. How are shadows rendered? That's the sort of stuff that we can generate lots and lots of images in a relatively short period of time in order to help refine that model.