Safe & Green Holdings Subsidiary Completes AI Wellsite Monitoring System Phase 1

Safe & Green Holdings Corp. (NASDAQ: SGBX) has announced through its wholly owned subsidiary Olenox Corp. the completion of Phase 1 of its intelligent wellsite monitoring system, marking a significant advancement in oil field automation technology. The AI-driven platform leverages the company's Machfu gateway to enable real-time, bi-directional monitoring and control capabilities that promise substantial operational improvements across the energy sector.

The system's core innovation lies in its proprietary algorithm that automatically adjusts pumpjack operations based on water-cut levels, a critical factor in oil extraction efficiency. This intelligent adjustment capability allows for optimized production while simultaneously reducing lifting costs, minimizing site visits, and decreasing energy consumption. The technology represents a meaningful step toward more sustainable oil field operations by extending equipment life and reducing the environmental footprint of extraction activities.

For industry stakeholders, the implications are substantial. The reduction in operational costs comes at a time when energy companies face increasing pressure to improve efficiency amid volatile market conditions. The system's ability to decrease the need for physical site inspections not only lowers labor and transportation expenses but also enhances worker safety by reducing exposure to field hazards. Shareholders and interested parties can access additional information through the company's newsroom at https://nnw.fm/SGBX.

The completion of Phase 1 sets the stage for Phase 2, which will involve full deployment at an Olenox production pad. This next phase will provide concrete data on the system's performance in real-world conditions. A unique feature of the implementation will allow shareholders to monitor real-time results via a read-only webpage, providing unprecedented transparency in oil field operations.

This development arrives as the energy industry increasingly embraces digital transformation and automation solutions. The integration of AI technology into traditional oil field operations represents a broader trend toward smart energy infrastructure that balances economic efficiency with environmental considerations. The full press release detailing these developments is available at https://nnw.fm/tx3nb.

The timing of this technological advancement is particularly relevant given current global energy dynamics, where operators seek competitive advantages through innovation. As oil companies navigate the transition toward cleaner energy sources, technologies that improve the efficiency and reduce the environmental impact of existing operations become increasingly valuable. This AI monitoring system could serve as a model for how traditional energy extraction can evolve to meet both economic and sustainability goals.