Pani Energy develops a data-driven analytics platform that consolidates sensor data for real-time monitoring and predictive optimization of water treatment plants. This technology enhances operational efficiency, reduces downtime, and extends the lifespan of treatment membranes by providing actionable insights and alerts based on real-time performance metrics.
Funding
$6.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Water treatment plants often struggle with operational inefficiencies, unexpected downtime, and premature membrane failure due to a lack of comprehensive data analysis and real-time monitoring. Existing systems often operate in silos, hindering holistic analysis and proactive decision-making. This can lead to increased costs, higher emissions, and reduced plant lifespan.
Solution
Pani Energy offers Pani Zed™, a data-driven analytics platform that consolidates sensor data from across water treatment plants into a single interface for real-time monitoring and predictive optimization. The platform uses advanced algorithms to detect deviations in sensor readings, providing alerts before they lead to downtime. By analyzing real-time cleaning metrics, Pani Zed™ enables predictive servicing, extending membrane life and optimizing performance. The platform also provides optimal set point recommendations and forecasts operational issues through dynamic simulations, empowering operators to make informed decisions and improve plant efficiency.
Target Audience
Pani Energy targets industrial, municipal, and desalination water treatment plants seeking to improve operational efficiency, reduce downtime, extend membrane life, and lower emissions.
Features
- Centralized dashboard consolidating sensor data for holistic plant-wide analysis
- Real-time alerts for early detection of operational deviations and potential downtime events
- Predictive maintenance scheduling based on real-time cleaning metrics to extend membrane life
- Dynamic simulations for forecasting operational issues and optimizing performance
- Optimal set point recommendations to minimize waste and improve efficiency
- Decarbonization action plan to reduce treatment plant costs, water losses, operating risks, and emissions
- Integration with existing plant infrastructure without requiring retrofits or capital expenditure