The Qtum Foundation has introduced Qtum Ally, an innovative artificial intelligence solution that operates entirely locally. Launched on October 30, 2025, this program for Windows and Mac allows automating tasks without sending data to external servers, prioritizing privacy and control of information for businesses, developers and financial teams.
Ally executes all tasks on the same device where it is installed, ensuring that no information leaves the machine unless the user authorizes it. The system uses the Model Context Protocol, an open standard that enables communication between different language models, private databases and external applications through brief messages and automated scripts.
The program comes preconfigured with access to twelve language models from various providers, removing dependence on a single brand. This local architecture significantly reduces wait times and minimizes the risks of leaking sensitive information. Although Qtum states that Ally only collects “the data necessary to communicate with the models,” the initial version includes temporary free access to premium models, without yet specifying the definitive pricing model.
Implications and future considerations for Ally
Among the main advantages is improved privacy, since all processes occur on the same hard drive, with the possibility of recording verifications on the Qtum chain. For the DeFi sector, Ally offers the ability to sign transactions automatically according to predefined rules.
However, questions remain about the future pricing model (monthly subscription, pay-per-use or QTUM tokens) that could make budget planning difficult. In addition, although it offers versatility with twelve different models, these remain commercial services subject to changes in availability or price.
Qtum plans to integrate Ally with its blockchain to trigger smart contracts and participate in model updates. Before its adoption by large institutions, the publication of a full price list and assurances about the continued availability of the models are expected.
