Top Blockchain Use Cases in 2025 and Nexchain’s Role

By Ginger Perry, updated May 20, 2025

Nexchain, which crypto presale is coming, is the first AI blockchain protocol based on a hybrid consensus mechanism. It takes the best features of Proof-of-Stake and enhances them with artificial intelligence, sharding, and Directed Acyclic Graphs, thereby enabling adaptive transaction validation and network management. Below, we’ll provide you with five of Nexchain’s blockchain use cases 2025.

Decentralized Lending

Conventional financial platforms limit the availability of lending to people without an official credit history (or with a compromised one). At the same time, Nexchain allows for an alternative with a lower entry threshold, in which the AI ​​model will conduct a comprehensive analysis of the credit history of applicants, as well as their behavioral data – both offline and online (sources of income, their stability, transaction histories, etc.).

As for smart contracts, they are useful in validating applications using multidimensional risk analysis that learn independently from open data and experience from past lending cases. In turn, cross-chain protocols make it possible to use assets from other blockchains as collateral.

As a result, the lending procedure becomes more transparent and unbiased, with minimized costs and risks due to intelligent automation of decision making.

Smart IoT Power Grids

Every year, more and more city administrations and developers switch to highly intelligent energy management systems, but due to their centralization, they are prone to failures. To ensure their fault tolerance, Nexchain can be used, on the basis of which you can build an architecture where each IoT device will be represented as a separate node.

Here, Nexchain’s IoT blockchain applications can perform real-time analysis of energy consumption to predict peak loads and automatically redistribute energy between consumers. Also, Nexchain’s AI can be applied to identify abnormal surges in energy consumption and independently launch self-healing scenarios, isolating damaged nodes.

Finally, tokenization, implemented in the form of rewards for energy efficiency, can stimulate network participants to reduce unnecessary consumption, thereby contributing to global sustainability. 

Supply Chain Tracking Systems

Complex logistics chains are subject to overhead expenses and precedents associated with the lack of reliable information on the movement of raw materials/goods. As for Nexchain’s blockchain for supply chain, it can be used for creating a tokenized logistics system, where each product will be represented as a digital asset with IoT tags that can be tracked in the DAG network, both by location and by transportation conditions and travel time. 

At the same time, if AI detects deviations from the normal route, delays in delivery, or attempts to substitute cargo, all these warnings will instantly enter the Nexchain-based system. Smart contracts in such a system can notify counterparties and activate insurance payments as needed.

Such a system ensures complete transparency at all stages of transportation, obtains real-time control over cargo, and reduces the number of losses.

AI Medical Diagnostics

If we talk about AI and blockchain in healthcare, these technologies are capable of offering a better experience in remote diagnostics. In particular, AI can automate the diagnostic process based on anamnesis and patient survey, followed by the appointment of tests and a preliminary diagnosis. Payment for such services can be implemented post facto, only for useful actions, through micropayments recorded in the blockchain.

Nexchain’s AI can also track the quality of services provided, preventing re-billing and analyzing patient requests for fraud (for example, through the provision of fake checks and receipts).

This approach creates a flexible and secure environment for the provision of medical services without borders, and, most importantly, it will be honest for patients.

Secure Data Exchange Between Institutions

Finally, Nexchain provides unprecedented data privacy – for example, in government, pharmaceuticals, or scientific research, as it ensures a more secure alternative to open infrastructures. For example, it can be used to deploy a permissioned network with a limited set of validators and the participation of only trusted organizations.

In such an environment, all actions are recorded in a DAG structure, but are only accessible by access rights. At the same time, Nexchain’s AI will monitor suspicious actions, and when an anomaly is detected, it can temporarily disable the causal node.

In turn, smart contracts can manage access rights, storage periods, and automatic archiving; as for post-quantum cryptography, it guarantees resistance to future attacks.

Of course, this is far from a complete list of possible real-life applications of Nexchain. To learn more options, be sure to visit its website.