Terranox AI
Terranox AI provides a cloud platform that uses machine‑learning to combine geological maps, geophysical surveys, satellite imagery, and drilling data into predictive uranium mineralization maps. The system delivers an interactive GIS dashboard with heat‑map visualizations, drill‑site rankings, and automated reporting to help mining firms and agencies prioritize exploration targets and reduce prospecting costs.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Uranium exploration relies on manual interpretation of disparate geological and remote‑sensing datasets, leading to long lead times, high drilling costs, and a low success rate in identifying economically viable deposits.
Solution
Terranox AI offers a cloud‑based platform that applies machine‑learning models to integrate geological maps, geophysical surveys, satellite imagery, and historical drilling data. The system generates predictive maps that highlight subsurface zones with a high probability of uranium mineralization, allowing exploration teams to prioritize targets before field work. By automating data preprocessing, feature extraction, and statistical modeling, the platform reduces the time and expense required for prospecting while improving the accuracy of resource estimates. Users can interact with the results through an interactive GIS interface, export actionable drill‑site recommendations, and continuously refine models with new data inputs.
Target Audience
Primary customers are mining companies, junior exploration firms, and government geological agencies focused on uranium resource development.
Features
- Multi‑source data ingestion pipeline that normalizes geological, geophysical, and remote‑sensing inputs
- Supervised and unsupervised machine‑learning models trained on global uranium datasets to predict mineralization likelihood
- Interactive GIS dashboard with heat‑map visualizations, confidence intervals, and drill‑site ranking
- Automated report generation for regulatory filings and investor presentations
- API for integration with existing exploration software and workflow tools