Testing water still means sending samples away and waiting days for a report. JalAI puts the test in the field and the answer on a screen — with AI that says what to do next.
Why JalAI
Before
Samples travel to a lab; the report comes days later.
With JalAI
Five probes read pH, TDS, oxygen, temperature and fluoride right at the source.
Before
Meters need a trained chemist to calibrate and read.
With JalAI
The screen walks anyone through calibration and only records steady readings.
Before
No network means no data, or data typed in later.
With JalAI
Wi-Fi with automatic 4G backup — readings wait safely on the device until there is signal.
Before
Numbers copied by hand, with no trace of where they came from.
With JalAI
Every reading is time-stamped, GPS-tagged and signed by the device that took it.
Before
A table of numbers, and you work out what it means.
With JalAI
Edge AI on the device and models in the cloud turn readings into a verdict and next steps.
Before
Generic tools built around other countries' limits.
With JalAI
Built around BIS 10500, with a groundwater model trained for Rajasthan conditions.

JalAI originated as a research project at IIT Roorkee to address a fundamental gap in water management: the lack of continuous, interpretable water intelligence.
Despite widespread infrastructure, water quality monitoring relied heavily on manual sampling and delayed reports, limiting timely action.
JalAI was founded to convert fragmented data into real-time insights using sensing, analytics, and predictive models, supporting safer and more transparent water systems for institutions and communities alike.
The principles that guide every decision we make, from engineering to partnerships.
We prioritize clarity, transparency, and responsible use of water data in every insight we deliver.
Our systems are designed to perform consistently across a range of real-world conditions and operational constraints.
We measure impact by enabling better decisions that lead to safer water outcomes for people and systems.