Loading
Loading
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.
Making water quality data visible, understandable, and actionable.
JalAI originated at IIT Roorkee to address gaps in water data interpretation.
Trust through transparency | Reliability through science | Impact through better decisions.
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.
