Mr. Eric Entz reports

IMPACT ANALYTICS ANNOUNCES ACQUISITION OF PROVISIONAL PATENT FOR DATA ANALYSIS TECHNIQUES

Impact Analytics Inc. has acquired the rights to a provisional patent for its AI (artificial intelligence) and data analysis techniques, intended for use in the company's product stack under development, including Lana Cash, Credissential and the Pact Platform. The provisional patent was acquired from a research subcontractor of the company and was originally filed with the United States Patent and Trademark Office (USPTO) on Sept. 8, 2023, under U.S. provisional patent application serial No. 63/537,421.

The provisional patent relates to a broad spectrum of innovative methodologies, the overarching purpose of which is intended to make disparate data more readily available for machine and artificial intelligence-based decision making. The provisional patent relates to several techniques believed by the company to be novel, including:

• Continuous monitoring and updating: The provisional patent relates to a system that continuously monitors for new data sources, scrapes relevant data and updates the training dataset in real time, or near real time.
• Efficient data acquisition and processing: The methods described in the provisional patent include data acquisition techniques, such as scraping data from a wide range of sources, generating relationship maps to distinguish between relevant and irrelevant data, and processing these data into a standardized format for training.
• Dynamic retraining mechanism: The provisional patent relates to a model updating component that retrains AI with the newly processed training data. This can be triggered periodically or in response to significant changes in data, with the goal of ensuring that the AI's knowledge base is up to date.
• Integration of client-specific data: In addition to publicly available data, the method described in the provisional patent can incorporate client-specific data into the machine training process. This allows for the customization of the AI to better serve specific client needs, potentially improving the relevance and accuracy of the model's outputs for individual users or organizations.
• Feedback loop for continuous improvement: The method described in the provisional patent includes mechanisms for gathering user feedback on the AI's performance, which can be used to further refine the data acquisition and training processes. This feedback loop aims to establish that the model continuously evolves and improves over time, adapting to new information and user needs.

Eric Entz, chief executive officer of Impact Analytics, stated, "This provisional patent is a key component of our strategy to develop innovative solutions that provide actionable insights, and empower businesses and individuals with enhanced decision-making capabilities."

The provisional patent is provisional in nature and while it has been filed with the USPTO, the USPTO has not yet assessed the provisional patent. The company expects to submit the provisional patent for assessment by the USPTO in the third quarter of 2024. The provisional patent expires on Sept. 8, 2024. The rights underlying the provisional patent were acquired by way of assignment agreement with the inventor, a research subcontractor of the company. The company has agreed to settle legal fees of the inventor incurred in submitting the provisional patent and will incur all costs associated with the submission of the provisional patent for assessment by the USPTO. There is no guarantee that the provisional patent will be accepted by the USPTO and a patent underlying the provisional patent may never be granted.

About Impact Analytics Inc.

Impact Analytics is a risk assessment, data intelligence and financial services platform powered by AI. The company is developing a proprietary product stack to optimize and streamline financial decision making for enterprises and individuals.

We seek Safe Harbor.