Our mobile-first DePIN approach unlocks numerous business use cases, demonstrating the value of our integrated strategy in achieving both breadth through partnerships and depth through our data network. The four we plan to focus on initially are:
AI Data Collection and Augmentation: We’ve got everything we need for this. From collecting social media data to archiving news sites and providing the data necessary for RAG AIs, this is a prime use case. Nothing will beat real mobile deivces for the quality of data we can collect and the breadth from which we can collect it.
Performance Monitoring: This is a broad category, which includes everything from checking if a site is available from a certain location, determining if SSLs are up and renewed, to doing distributed speed tests on a site in order to report on CDN and hosting speeds, and other performance metrics. We have a significant technology advantage for this product. Most providers are using a handful of data centers, and to the extent that they support monitoring they do so via injected javascript. This significantly limits the scope and types of tests they can offer, limitations which don’t apply to us.
IP Location Data: This data has gotten tremendously expensive recently. For a low end knock-off database, we recently paid $700 for a single server license. The higher end products cost into the thousands and 10s of thousands of dollars. And a lot of this information is older and/or self reported. This is also a task that lets us make use of devices that are on WiFi by allowing us to refine the location of these networks as well.
Chain Analytics / Data: With tons of devices, we can quickly and accurately track all kinds of things that require significant exploration of the chain, such as deposits to specific addresses, dex data and price quotes from various sources. In fact, UpRock can quickly become the most powerful on-chain data tracker or oracle service because of the sheer number of clients in the network which can get data without hitting limits.