Brand Engagement Network Inc. (BNAI)
NASDAQ (CM) NASDAQ (CM) Primary Summary
Brand Engagement Network, Inc. (BNAI) Shareholder/Analyst Call Prepared Remarks Transcript
Brand Engagement Network, Inc. ( BNAI ) Shareholder/Analyst Call November 26, 2025 1:00 PM EST Company Participants Tyler Luck - Acting CEO, Chief Product Officer & Director James Henderson - Corporate Secretary & General Counsel Presentation Operator Good morning, and welcome to the BEN 2025 Annual Meeting of Shareholders. [Operator Instructions] I will now turn the meeting over to Tyler Luck, Acting CEO.
Brand Engagement Network, Inc. (BNAI) Q2 2025 Earnings Call Transcript
Brand Engagement Network, Inc. (NASDAQ:BNAI ) Q2 2025 Earnings Call October 14, 2025 4:30 PM EDT Company Participants Tyler Luck - Acting CEO, Chief Product Officer & Director Walid Khiari - CFO & COO Conference Call Participants Jack Vander Aarde - Maxim Group LLC, Research Division Presentation Operator Good afternoon, and welcome to the Brand Engagement Network Inc.'s Second Quarter 2025 Earnings Conference Call. Today's call is being recorded.
Brand Engagement Network Inc. Investors
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| TM Thomas Morgan Corps Capital Advisors LLC | 28,334 | $65,734.89 | $395,542.64 | $329,807.75 | 501.72% |
| WK Will Kelleher Lee-Kelleher Wealth Management | 17,003 | $110,713.74 | $237,361.88 | $126,648.14 | 114.39% |
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Brand Engagement Network Inc. Profile
| Transportation Infrastructure Industry | Industrials Sector | Tyler J. Luck CEO | NASDAQ (CM) Exchange | 104932108 CUSIP |
| US Country | 39 Employees | - Last Dividend | 12 Dec 2025 Last Split | - IPO Date |
Overview
Brand Engagement Network, Inc., originally known as Blockchain Exchange Network Inc., rebranded itself in April 2023 to better reflect its focus on creating conversational AI assistants. Founded in 2018 and headquartered in Jackson, Wyoming, the company has quickly established itself within the technology industry by specializing in the development of security-centric, human-like AI assistants. These assistants are designed to facilitate multimodal communication, leveraging advanced technological frameworks. Brand Engagement Network, Inc. caters to a diverse range of industries, including automotive and healthcare, through a combination of direct sales force and channel partners, indicating a broad and diverse application of their technology.
Products and Services
- Natural Language Processing:
At the core of Brand Engagement Network, Inc.'s offerings is their natural language processing technology. This allows their AI assistants to understand, interpret, and respond to human language in a way that mimics natural human conversation, making interactions more intuitive and efficient.
- Anomaly Detection:
The company's AI assistants are equipped with the capability to identify unusual patterns or anomalies. This feature is particularly beneficial in the healthcare and automotive industries for monitoring and alerting purposes, thereby enhancing safety and performance.
- Multisensory Awareness:
Brand Engagement Network, Inc.'s AI assistants are developed with multisensory awareness, enabling them to process and respond to multiple types of inputs simultaneously. This multisensory integration allows for a more comprehensive understanding of the environment, which can be applied in various industries for enhanced interaction and automation.
- Sentiment and Environmental Analysis:
The company's technology goes beyond the basic functionalities of AI by incorporating sentiment and environmental analysis. This enables the AI assistants to understand and react to the emotional state of the user as well as to analyze the surrounding environment, making the interaction more relevant and personalized.
- Real-time Individuation and Personalization:
Brand Engagement Network, Inc. prides itself on its ability to deliver AI assistants that can personalize interactions in real-time. This individuation capability ensures that each interaction is tailored to the specific needs and preferences of the user, enhancing user satisfaction and engagement.
