Brand Engagement Network (NASDAQ: BNAI) announced it has finalized a strategic partnership with Valio Technologies to establish an exclusive AI licensing framework for government and commercial markets across Africa. The agreement is anchored by a $2.05 million preferred equity contribution recognized as intellectual property licensing revenue. Under the terms, BEN will hold a 25% common equity stake and a board seat in a newly formed South Africa-based entity, receive a 35% revenue share across software, SaaS, services and subscriptions, and grant an exclusive, perpetual license with right of first refusal for African markets.
The partnership also includes a memorandum of understanding with Nelson Mandela University to deploy a regulated, institution-approved AI pilot focused on student wellbeing. This pilot will utilize BEN’s proprietary Engagement Language Model (ELM) and retrieval-augmented generation technologies within a secure, closed-loop environment aligned with data sovereignty and governance requirements. By leveraging these technologies, the partnership aims to address critical needs in education and other regulated sectors across the continent.
This move marks a significant expansion for BEN into the African market, which is seeing growing demand for AI solutions that comply with local data protection laws. The exclusive licensing framework ensures that BEN’s technology is deployed in a manner that respects data sovereignty, a key concern for governments and institutions. The 35% revenue share model provides BEN with a recurring income stream while allowing Valio Technologies to leverage its local expertise to drive adoption.
The partnership with Nelson Mandela University is particularly noteworthy as it represents a real-world application of BEN’s AI in a regulated environment. The pilot program for student wellbeing could serve as a blueprint for other institutions across Africa, demonstrating how AI can be used to improve outcomes while maintaining compliance with stringent governance standards. BEN’s ELM and retrieval-augmented generation technologies are designed to handle sensitive data securely, making them well-suited for such applications.
For more details, refer to the full press release at https://ibn.fm/9diIU.
