Pioneering the future of mineral exploration

Liandri emerged from a bold vision: to transform the way the world explores for critical minerals. At the intersection of geoscience, AI and probabilistic modelling, we operate with a singular mission: to make mineral discovery smarter, faster, and more capital-efficient. Our platform, developed in collaboration with Stanford University, integrates cutting-edge stochastic modelling, uncertainty quantification, and geospatial AI to characterise the subsurface with a level of rigour and resolution that traditional workflows cannot match. We operate across two complementary verticals:

• Mineral exploration – where we apply our proprietary platform to identify, rank, and characterise exploration targets. Our probabilistic approach allows us to test more geological hypotheses with fewer drill holes, reducing time-to-discovery and capital exposure
• Investment in promising projects – where we use the same probabilistic framework to evaluate third-party exploration projects and invest our own capital in compelling opportunities

Led by technology leaders (startup founders who have built and scaled many times before!), we are a multidisciplinary group of highly motivated and passionate learners - building a future where technology and tradition work hand in hand. Our goal is simple yet ambitious: to find the resources the world critically needs, with less capital at risk and greater scientific confidence.

Science-Driven. AI-Enhanced. Insight-Led.

The search for critical minerals has never been more urgent - or more technically demanding. Ore bodies are getting deeper, more complex, and harder to find using conventional methods. At Liandri, we believe the answer lies in combining the interpretive depth of experienced geoscientists with the computational power of modern AI and probabilistic tools.

Our technology philosophy centers around three principles:

• Augmentation, not replacement – Our systems are designed to amplify geoscientific expertise, not substitute it. Human interpretation remains central to every output we generate
• Scalability by design – From data ingestion to predictive analytics, every element of our stack is built to adapt across mineral systems and geographies
• Transparency and traceability – We maintain scientific rigour in every output, ensuring that AI-derived insights are explainable and geologically grounded

We're not just optimizing exploration. We're reinventing it.