Looking ahead, Hydra aims to evolve from a powerful controlled-burn planning tool into a comprehensive wildfire management platform with both regional and global impact. In the short term, our focus will be on expanding the dataset coverage, incorporating higher-resolution satellite imagery, real-time IoT sensor feeds from fire-prone regions, and predictive climate models to improve the precision and robustness of our burn-location and intensity predictions. We plan to enhance the ML pipeline by integrating advanced ensemble models and deep learning architectures that can detect subtle patterns in vegetation, weather, and topography, enabling even more accurate predictions for complex terrains. Alongside technical improvements, we will grow our user base with additional early-adopter fire departments, forestry agencies, and emergency-management organizations, leveraging both direct sales and strategic partnerships with sensor manufacturers, GIS software providers, and state and federal wildfire management agencies. Hydra will also explore integration with automated drone and satellite monitoring systems to validate predicted burn outcomes in real time, creating a feedback loop that continuously improves the prediction algorithm. Over the long term, our vision is to provide an end-to-end decision-support system that not only optimizes controlled burns but also aids in wildfire prevention, resource allocation, and disaster-response planning at national and international scales. To maintain competitive advantage, Hydra’s proprietary algorithms, adaptive raster engine, and curated environmental datasets will remain protected as trade secrets, while patent filings and strategic partnerships will reinforce our defensibility. These future plans will allow Hydra to expand its impact, reduce catastrophic wildfires, and ultimately save lives, property, and ecosystems worldwide.