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Themofilic`s AI-Based Precision Exploration Service
Thermofilic reduces investment risk in geothermal energy exploration by determining the potential of geothermal resources 50% more effectively than traditional methods of exploration.
Transforming Geothermal Resource Discovery
The Opportunity—The Breakthrough
Vast amounts of drill-hole, geophysical, geochemical, and structural data in geothermal exploration remain unprocessed—leaving high-value resources undiscovered.
Thermofilic ’s AI platform transforms these fragmented datasets into predictive models of geothermal potential with up to 90% accuracy in validated test cases. This dramatically reduces exploration risk and cost while accelerating discovery.
Built on 25+ years of expertise in resource discovery and advanced AI, our solution delivers accurate, explainable, and cost-effective insights to guide exploration decisions.
The Advantage
- Proprietary AI architecture integrating domain-specific geoscience constraints.
- Proven validation on diverse geologic settings.
- Scalable workflow for new resource targets.
Transform Your Business Strategy Today
Transform Your Business with Thermofilic LLC
Built by Dr. Sebnem Duzgun - recognized as one of the 100 most inspirational women in mining - Thermofilic’s technology draws from 25 years of experience in resource discovery, adapted machine learning and AI technologies to delineate an exact footprint of geothermal reservoirs.
Proven at multiple sites, yielding accuracy assessments of more than 85%, Thermofilic’s AI-powered technology has been in development for five years funded by a two-million-dollar grant from the U.S. Department of Energy.
We provide a high-resolution probability map of resource potential that estimates the footprint of a geothermal resource, offering your exploration team clear and explainable decision support on where to drill and why.
Schedule a Consultation
We first collect data for geothermal indicators. We extract the patterns of these indicators using our propriety machine learning algorithm. Finally, we input these patterns in our trained AI models and delineate the resource's 2D surface footprint. For this site, for example, the yellow area was drilled, and no resource was found. With our solution, this company would have saved at least 3M dollars. Our 2D models are tested in three sites and have a proven accuracy of 85 %.
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