Brand Engagement Network, Inc. (NASDAQ: BNAI), Grupo Skye, and KNOBLOCH Information Group advanced Skye Salud to Phase 2 of its clinical evaluation program in Mexico to expand testing for primary care doctors. The AI-powered medical evidence platform leverages trusted medical literature, clinical guidelines, and other authoritative sources to support evidence-based clinical information retrieval. This expansion aims to evaluate how AI-powered access to trusted medical evidence may help improve access to clinical information across healthcare settings in Mexico and Latin America.

Skye Salud was developed through a collaboration among Brand Engagement Network, Grupo Skye, and KNOBLOCH Information Group. The initiative combines Brand Engagement Network's enterprise-grade AI capabilities, Grupo Skye's leadership in AI innovation across Latin America, and KNOBLOCH Information Group's presence within Mexico's healthcare community.

Phase 1 and Phase 2 Evaluation

The Phase 2 evaluation follows the successful completion of Phase 1 rheumatology testing conducted in a controlled evaluation environment. The initial assessment evaluated platform performance across specialty-specific clinical scenarios, evidence traceability, response quality, and source transparency. Phase 1 rheumatology testing was conducted under the guidance of Dr. Ruy Carrasco, Chief Medical Information Officer of Skye Salud and BEN Board Member.

Building on those results, the Phase 2 evaluation will expand testing into primary care use cases. The platform will be assessed across a broader range of clinical topics and physician information needs. The expanded evaluation includes Spanish-language clinical content optimized for the Mexican healthcare environment.

Strategic Objectives

Mexico represents one of the largest healthcare markets in Latin America, creating a significant opportunity to evaluate AI-enabled access to trusted medical evidence at scale. The expansion of the evaluation program into primary care is intended to provide additional insight into platform performance, content coverage, usability, and future development opportunities.

The initiative reflects Brand Engagement Network's broader strategy of developing governed, enterprise-grade AI solutions for regulated industries where accuracy, transparency, accountability, and human engagement are critical. Subject to future evaluation results, regulatory considerations and commercial agreements, the organizations may explore opportunities to broaden clinical coverage and expand Spanish-language medical content.

Brand Engagement Network Inc. (NASDAQ: BNAI) has been selected for membership in the Russell 3000 Index and the Russell 2000 Index, effective at the close of U.S. markets on June 26, 2026. The inclusion is part of the 2026 Russell U.S. Indexes reconstitution, which captures the largest U.S. stocks as of April 30 and ranks them by total market capitalization to determine index membership for the coming year. Approximately $12.2 trillion in assets are benchmarked to Russell U.S. indexes, a figure that underscores the significance of this addition for the company's visibility among institutional investors.

Membership in the Russell 3000 Index automatically results in inclusion in the Russell 2000 Index, along with applicable Russell style indexes. The Russell 3000 Index measures the performance of approximately 3,000 of the largest U.S. public companies and represents about 98% of the investable U.S. equity market. Russell indexes are widely used by investment managers and institutional investors for index funds and benchmarking purposes.

Strategic Implications

"Being added to the Russell indexes is a meaningful milestone for BEN and an important moment in our journey as a public company," said Tyler Luck, Chief Executive Officer of Brand Engagement Network. He emphasized that while inclusion enhances visibility within the investment community, the company's focus remains on powering the engagement layer of AI and delivering value for customers and shareholders.

Company Overview

Brand Engagement Network develops secure, enterprise-grade artificial intelligence solutions designed for organizations in healthcare, financial services, hospitality, and other regulated industries. The company's technology operates within secure, closed-loop enterprise environments using approved organizational data and built-in governance and compliance controls. BEN's proprietary Engagement Language Model (ELM) enables conversational AI interactions that connect human intent to organizational data, workflows, and real-world outcomes.