Company: BFRG
Filing Date: 2025-03-14
Form Type: 10-K
Source: 0001493152-25-010367
Chunk: 66

Company: BullFrog AI Holdings, Inc.
Filing Date: 2025-03-14
Form: 10-K
Item: Item 1
Chunk 66
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 powerful and proven AI/ML platform (trade name: bfLEAP™) derived from
technology developed at JHU-APL. The bfLEAP™ platform is based on an exclusive, world-wide license granted by JHU-APL. The license
covers three (3) issued patents, as well as a new provisional patent application, non-patent rights to proprietary libraries of algorithms
and other trade secrets, which also includes modifications and improvements. On July 8, 2022, the Company entered into an exclusive,
world-wide, royalty-bearing license from JHU-APL for the additional technology developed to enhance the bfLEAP™ platform. The new
license provides additional intellectual property rights including patents, copyrights and knowhow to be utilized under the Company’s
bfLEAP™ analytical AI/ML platform. Under the terms of the new license agreement, JHU-APL will be entitled to eight percent (8%)
of net sales for the services provided by the Company to other parties and three percent (3%) for internally developed drug projects
in which the JHU-APL license was utilized. The new license also contains tiered sub licensing fees that start at 50% and reduce to 25%
based on revenues.

We
believe the bfLEAP™ analytics platform is a potentially disruptive tool for analysis of pre-clinical and clinical data sets, such
as the robust pre-clinical and clinical trial data sets being generated in translational R&D and clinical trial settings. The input
data for bfLEAP™ can include raw data (preclinical and/or clinical readouts), categorical data, sociodemographic data of patients,
and various other inputs. Thus, the bfLEAP™ platform is capable of capturing the particular genetic and physical characteristics
of patients in an unbiased manner, and contextualizing it against other disparate data sources from patients (e.g. molecular data, physiological
data, etc.) for less biased and more meaningful conclusions. It is also uniquely scalable - the bfLEAP™ platform is able to perform
analysis on large, high-volume data sets (i.e. ‘big data’) and also able to analyze highly disparate “short and wide”
data as well. In terms of visualization, bfLEAP™ is able to integrate with most commonly used visualization tools for graph analytics.

We
believe that the combination of (a) scalable analytics (i.e., large data or short/wide data), (b) state-of-the-art proprietary algorithms