TECHNOLOGY STACK

Tools of Discovery

We integrate cutting-edge technology with traditional archaeological methods to see what others miss.

Technology capabilities

FEATURED

Artificial Intelligence

Deep learning and classical ML for archaeological site prediction, artifact classification, and imagery analysis.

  • Site probability modeling
  • Spectral anomaly identification
  • Change detection in time series
  • Automated feature extraction
  • Artifact detection & classification

Machine Learning

Supervised and unsupervised learning on geospatial, spectral, and archaeological datasets.

  • Random Forest / XGBoost ensembles
  • CNNs for satellite imagery
  • Clustering for site typology
  • Anomaly detection
  • Feature importance ranking

LiDAR

High-resolution topographic analysis revealing micro-topography invisible to the naked eye.

  • Bare earth DEM generation
  • Local relief models (LRM)
  • Sky-view factor visualization
  • Hillshade multi-azimuth
  • Automated feature extraction

Drone Mapping

UAV-based photogrammetry and multispectral imaging for site-scale documentation.

  • Structure-from-Motion (SfM)
  • Multispectral crop mark detection
  • Thermal imaging
  • High-res orthomosaics
  • 3D point clouds & meshes

Photogrammetry

Structure-from-Motion for 3D documentation of sites, features, and artifacts.

  • Artifact 3D models
  • Feature excavation recording
  • Site topography
  • Stratigraphic profiles
  • Virtual curation

GIS

Spatial analysis, predictive modeling, and data integration platform.

  • Predictive modeling
  • Viewshed & least-cost analysis
  • Spatial statistics
  • Data management & visualization
  • Multi-criteria evaluation

Integration Philosophy

Data Fusion

All data layers—LiDAR, satellite, geology, historical—are co-registered in a common GIS framework for integrated analysis.

Model Transparency

Every algorithmic step is documented. Feature importance, uncertainty, and validation metrics are reported alongside predictions.

Human-in-the-Loop

AI proposes; archaeologists decide. Field verification is the bridge between computational prediction and scientific knowledge.

Have a Discovery to Report?

Your observations help train better models and identify new sites.

Report a Find