Deep-Time Intelligence for Precision Discovery

We combine Deep-time reconstruction and Multi-Physics AI to transform your multi-source data into clear discovery vectors. Experience transparent, Explainable AI that empowers decision-making while maintaining total data security and sovereignty.

Applied AI

From raw data to discovery-grade intelligence

Two end-to-end field deployments that combine multi-source satellite datasets, physics-informed feature engineering, and explainable machine learning — delivering actionable exploration vectors at scale.

Satellite lithological mapping — spectral classification output

Remote Sensing Machine Learning Spectral Analytics

Satellite-Based Lithological Mapping at Scale

Autonomous discrimination of ultramafic lithologies across inaccessible high-altitude terrain using multi-sensor spectral data. Sentinel-2, ASTER, and Hyperion fusion enables high-confidence geological classification — replacing weeks of field traverses with analysis deployable in hours.

3× Sensors fused

96% Classification accuracy

4,800 km² Terrain covered

Serpentinization mapping without field access

Ophiolite lithology boundaries at 15 m resolution

Explainable spectral AI — physics-validated outputs

Sentinel-2 ASTER Hyperion FLAASH SAM PCA XGBoost

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AI-driven porphyry copper prospectivity map

Machine Learning Deep-Time Modelling 4D Earth Intelligence

Hyperdimensional Porphyry Copper Prospectivity

Two-stream AI architecture that fuses present-day geophysical signals with reconstructed deep-time geodynamic trajectories. Positive–Unlabeled learning on incomplete deposit records, hyperdimensional integration via multiplicative fusion, and exploration-ranked outputs that outperform purely spatial models by 40% on Recall@5%.

+40% Recall@5% vs spatial-only

0.95 AUC-ROC

170 Ma Temporal history modelled

Prioritises top 5% area containing 72% of known deposits

Carbonate–redox engine encoded as temporal feature

Generalises across Tethyan, Pacific, and Andean arcs

XGBoost PU Bagging pyDTDM GPlates SHAP 4D Fusion

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Featured Software Solutions

Comprehensive suite of AI-powered geoscience tools

Kalpa

A comprehensive geospatial AI platform that unifies satellite data, geological information, and advanced analytics in one integrated environment.

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Vyom

Python-based plugin designed for highly efficient, flexible, and scalable access to satellite Earth observation data.

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GeoMech

Open-source geomechanical modeling software optimized for borehole stability analysis and drilling risk assessment.

Explore GeoMech View on GitHub

pyDTDM

Powerful open-source Python library for deep-time spatiotemporal geological data analysis and paleogeographic reconstruction.

Explore pyDTDM View on GitHub

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