Find Groundwater
Before You DigWater is life — for every continent.

JalDrishti analyses six geospatial data layers at any location on Earth in under 30 seconds: satellite imagery (NDVI / NDWI), geological survey maps, terrain elevation (DEM), historical hydrology, seasonal rainfall patterns and a machine-learning model trained on thousands of bore outcomes across multiple continents. The result is a groundwater confidence score (0–100), a recommended bore depth range, drill type and an exact drill-point marker on the map. This AI-backed preliminary screening replaces the desktop study phase of a traditional borehole siting process — helping you shortlist high-potential sites before committing to expensive fieldwork.

Borewell is the term widely used in India and South Asia for a drilled water well. Borehole is the internationally recognised geotechnical and hydrogeological term for the same structure. Water bore or bore pump is the common term in Australia and parts of Africa. Tube well is used in Bangladesh and Pakistan. JalDrishti supports borehole and borewell siting in any country, by any name — the underlying AI model works identically regardless of terminology.

JalDrishti is a rapid AI-powered pre-screening tool, not a replacement for a full geophysical survey. Traditional geophysical methods — such as electrical resistivity tomography (ERT), vertical electrical sounding (VES), seismic refraction or electromagnetic (EM) surveys — measure subsurface properties in the field using specialised geophysical equipment and provide detailed lithological profiles. JalDrishti provides a fast, cost-free preliminary assessment using publicly available satellite and geological survey data, helping you prioritise the most promising borehole sites before commissioning geophysical equipment and field teams.

JalDrishti automatically routes to the best available geological survey database for each country: USGS (United States), Geoscience Australia (Oceania), EGDI — European Geological Data Infrastructure (Europe), Bhuvan / CGWB (India) and OneGeology as the global fallback. Satellite data comes from NASA, ESA Copernicus / Sentinel and ISRO. Elevation data from SRTM, ASTER and Copernicus DEM. These open geological survey datasets contain lithological maps, aquifer extents and hydrogeological units comparable to the base data used in traditional geophysical groundwater surveys.

Yes. JalDrishti is used by hydrogeologists, environmental researchers, NGOs and government water agencies for rapid multi-site screening. The polygon scan mode allows you to survey an entire watershed or study area in one operation. PDF reports are exportable in 33 languages. The app integrates open datasets from NASA, ESA Copernicus, USGS, CGWB and OneGeology — the same primary sources cited in published hydrogeological research — making it an ideal rapid-assessment complement to full geophysical survey programmes.

JalDrishti provides a probability score, not a guarantee. The ML model is calibrated against thousands of successful and unsuccessful boreholes across multiple continents. High-scoring locations (75+) correlate strongly with successful drilling outcomes in validation studies. For low-risk decisions, the AI recommendation is often sufficient. For high-investment drilling or critical water supply projects, always supplement the AI assessment with an on-site geophysical survey conducted by a qualified hydrogeologist.

Yes — JalDrishti is a fully global product. Scan a location in the United States and it uses USGS geological data; in Australia, Geoscience Australia; in Europe, EGDI; anywhere else, OneGeology and global open datasets. The AI model has been validated across boreholes on every inhabited continent. The voice guidance and PDF reports are available in 33 world languages. JalDrishti is as effective for bore siting in rural Kenya, outback Australia, rural Spain or the Indo-Gangetic Plain.