Market - Hydrogen Exploration

Needs

Risk Reduction: Minimize exploration risk by aligning investment with proven subsurface potential for natural hydrogen and helium discovery.
CAPEX Reduction: Conduct early-stage studies before drilling decisions to identify high-potential drilling zones.
Speed: Accelerate decision-making and exploration cycles to gain competitive advantage in hydrogen and helium discovery.
Data Flexibility: Adapt to available data/precise field: integrate existing datasets or capture new field data when none exists.
Scalability: Scale exploration efforts across multiple sites and geological formations efficiently.

current situation

Current exploration methods for natural hydrogen and helium rely on legacy tools and workflows derived from the oil & gas industry, resulting in high costs, limited accuracy, and poor adaptability to light gases-specific challenges.

Fragmented fluid coverage: Legacy tools model one fluid family at a time and operate on hydrocarbon timescales only, they cannot capture the full spectrum from heavy hydrocarbons to light gases, not the much shorter cycles of natural hydrogen.
Microbial blind spot: No commercial platform corrects subsurface data for microbial impact on accumulation preservation nor distinguishes biogenic from thermogenic processes, leaving a critical layer of geological reality unmodeled.
No predictive diagenetic modeling: Legacy oil and gas geoscience software does not allow users to model acidic fluid through geological time, from generation, mineral dissolution and migration to mineral precipitation. As a result, it cannot predict processes such as kaolinization, illitization or dolomitization along transects to improve reservoir ranking and reduce dry-hole risk.
No predictive H₂S & CO₂ modeling: Despite sour gases being one of the industry's most dangerous and costly hazards, no existing platform predicts where it forms and how and when it accumulates.
Gas presence as an assumption, not a prediction: Legacy basin modeling requires an initial gas charge to be assumed upfront, preventing true generative modeling and limiting confidence in frontier or unconventional plays.
Disconnected suface and subsurface data: Surface seepage, geochemical signatures, and deep geological mechanisms are analyzed in silos, leaving operators with fragmented evidence rather than a single coherent subsurface model.

Our solution

IORIGIN brings to natural hydrogen and helium exploration the scientific rigor that has long underpinned hydrocarbon basin modeling. While the industry is still building its first calibration datasets for these emerging resources, IORIGIN already predicts where hydrogen is generated, how it migrates on short geological timescales, and where helium accumulates - together with co-occurring fluids - within a single coherent basin framework. This first-mover capability turns the geological complexity of frontier, data-poor basins into clear, actionable insights for confident investment, licensing, and exploration decisions.
IORIGIN is designed for both pure-play ventures tackling these emerging markets head-on and established oil and gas operators diversifying their portfolios toward strategic resources (helium) and lower-carbon energy assets (natural hydrogen).