
About
DHATUveDA
AI Mineral Exploration
Dhatuveda is a geological intelligence platform that combines AI, stochastic modelling, and spatial analytics to support objective subsurface interpretation. By structuring complex exploration data into consistent models, Dhatuveda supports clearer subsurface insights, improved ore-body interpretation, and more confident drilling decisions.
Core Modules
Visualizing your data in action.

2D Geological Visualization
DhatuVeda brings boreholes, assays, structures, and geophysical layers into one clean 2D view- making it easy to spot mineralization trends, continuity, and controls.
Ore-Body Analysis
The platform analysis of ore geometry, including width, grade, and confidence measures to suppport ore continuity, mining width, and dilution during planning.
Resource Estimation
Dhatuveda calculates tonnage, volume, contained metal, and average grade based on user-defined cut-offs, with confidence bounds to support planning, reviews, and reporting.
3D Sub Surface Model
Data is built into an interactive 3D model over LiDAR terrain, with pits and surfaces for context. Inputs are transformed into 3D models mapped onto a LiDAR topographic surface,
Features
The measurable impact for your enterprises.
Unified modelling of multimodal subsurface data
Clearer interpretation through high-fidelity 3D model
Structured support for drilling and resource estimation workflows
Alignment with standard industry reporting frameworks
Core Modules
Visualizing your data in action.

Ore-Body Analysis
The platform analyzes ore geometry—width, grade, and confidence—to support decisions on ore continuity, mining width, and dilution during planning.

Resource Estimation
Dhatuveda calculates tonnage, volume, contained metal, and average grade using user-defined cut-offs, with confidence bounds to support planning, reviews, and reporting.

AI-Assisted Borehole Planning
Dhatuveda uses AI and geostatistics to guide infill and step-out drilling, unifying complex subsurface data into high-fidelity 3D models for clearer interpretation, structured exploration, and industry-aligned decision-making.


