This paper was presented at the 51st Stanford Geothermal Workshop.
William McConathy*, Robert Sterling*, Brian Buchanan*, Yu Jun Han*, Mark Sonnenfeld*
Davinci EP 1580 N Logan St. Suite 660 PMB 31011, Denver CO 80203
Sedimentary Solutions LLC
February 11, 2026
THD volume with fault interpretations and lineaments.Artificial intelligence is no longer constrained by algorithms or compute architecture. It is constrained by infrastructure — specifically, the ability to deliver reliable, schedulable power and thermal capacity on hyperscale timelines.
Most energy solutions fail not because they cannot generate electricity, but because they cannot do so with predictable performance, bounded risk, and repeatable deployment at scale.
This paper presents Davinci’s platform approach to ultra-high-temperature geothermal as a manufactured infrastructure system rather than a bespoke energy project. By integrating pressure-governed subsurface development, modular power systems, and evidence-gated scaling, Davinci reframes geothermal from a geological gamble into a reliability-driven, financeable platform.
The objective is not to argue for geothermal as an energy source.
The objective is to demonstrate how certainty can be engineered — and replicated — in a world where energy, cooling, and deployment speed have become the binding constraints on intelligence.
