Company: RAIN
Filing Date: 2025-02-12
Form Type: 424B3
Source: 0001213900-25-012904
Chunk: 101

Company: Rain Enhancement Technologies Holdco, Inc.
Filing Date: 2025-02-12
Form: 424B3
Chunk 101
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 structures and methodologies, as well as building operations, sales, marketing and customer service functions to accelerate client traction. RET also intends to create operating momentum by achieving enhanced rainfall in the initial systems that it deploys, in order to demonstrate the viability of this technology to the market. It is anticipated that this will enable RET to expand into existing client bases, create additional client verticals, and drive future global expansion. The second phase of commercialization and scale of rainfall generation technology is expected to involve investment in additional technologies to optimize the performance of the systems. This includes investment and development of weather forecasting models, computing power, data collection tools and ground-based radar networks, among other things, in order to improve RET’s weather forecasting abilities. Supporting growth at scale will require manufacturing optimizations, bill of materials value engineering, and enhancing software controls and machine learning to automate the operational and data collecting processes.

For more details regarding the steps that RET’s management team believe are necessary to commercialize and scale ionization rain generation technology, please see “ RET Management’s Discussion and Analysis of Financial Condition and Results of Operations - Plan of Operations.”

Trial Results Based on Existing Third-Party Technology

There is a void for institutionally supported analysis for quantifying rainfall generation from rainfall generation technology. Previous rainfall generation trials by third parties relied on comparisons of trial results with long-term averages of rainfall on a given catchment. However, the high variability of rainfall data has hindered conclusive demonstrations of efficacy using such techniques. Demonstrating efficacy, however, will rely on statistical evaluation of data obtained while operating the technology under real-world scenarios.

In the third-party trials for previously existing rainfall generation technology in Oman, the NIASRA employed statistical estimation methodology estimating the correlation between observations of rainfall at different locations at specific time intervals to make concurrent predictions of rainfall in a target area with both a control model and effects model to assess the ground-based ionization technology performance. The NIASRA concluded in these third-party trials that the methodology used is well instrumented and scientifically rigorous, and that it has the potential to increase precipitation. Third-party trials in Oman have indicated a high probability of rainfall generation if ionization rainfall generation technologies are used.

In 2022, the model-based approach used in these third-party trials was noted in the Journal of Royal Statistical Society and the International Statistical Review. The results in these third-party trials demonstrate the plausible practical effects of and plausible analysis methods for the technology that RET intends to develop.

RET’s Business Overview

Ionization Rainfall Generation Market Opportunity

The global water crisis has massive