For this weeks blog, I am going to do an industry analysis for my company: Pixsy, Inc. Part of the work that I am doing for my internship is working very closely with our CEO to do a lot of research and development work for Pixsy. He has had me do much research for our competitor base and for the development and analysis of our product, which is essentially the online image theft protection service. The product exists in 3 different forms: the product for the photographers to upload and match their photos, the product for the law firms to process and onboard cases from photographers, and the product for the in-house team of case managers to handle licensing for images. This product, being that it is not a tangible one and is online based, requires a lot of different teams coordinating to ensure that it is always working properly for all 3 of the users of the product. This product exists in a very similar manner for the main competitors of Pixsy, which are essentially other legal tech startups that deal with case resolution. The main goal of Pixsy is to stay ahead of its competitors in having an easy to use, well integrated, and highly automated product. At the moment, as far as image licensing case resolution goes, Pixsy is at the top of the field. But due to the uncertainty that is innate in the startup world and in the legal tech industry, this head start is not a given, and cannot be taken for granted. By integrating more and more AI into the product, this will create the opportunity for Pixsy to more efficiently allocate its currently limited resources to make the most out of the resolution process, and free up more time for the case managers to clear out the backlog of cases and decrease the turnover time for photographers. If they can up their implementation of AI, then they will be able to take on a much greater case load and make their product much more viable and appealing to investors.
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