The collaboration centers on transforming static, siloed files into a dynamic intelligence layer. By leveraging proprietary machine learning algorithms, GeoIntelX has structured NewMed’s legacy data, allowing exploration teams to query complex geological and commercial information through conversational interfaces. This shift enables geoscientists to move beyond manual data management toward high-level analysis, significantly reducing the risk of overlooking critical internal knowledge.
Kul Karcz, VP of Exploration at NewMed, noted that the platform has outperformed other AI solutions tested by the firm. The technology serves as a force multiplier for the company’s ongoing operations, particularly within the Leviathan and Aphrodite gas fields. For Gilad Hoshen, CEO of GeoIntelX, the integration represents a broader industry pivot toward using automated geospatial tools to enhance both operational efficiency and sustainability in energy extraction.




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