NEXUS.
The AI Brain To Reduce Carbon Emissions
Coming Soon!
HVAC SYSTEMS
51% of the total energy usage in commercial buildings
DESALINATION PLANTS
Desalinating 1000 cubic meters of seawater releases as much as 6.7 tons of CO2
MANUFACTURING INDUSTRIES
1/5th of global carbon emissions
Integrated platform that combines Data, iOT powered by AI to reduce Carbon Emissions across industries
Integrate with any in-field sensor, plant, asset, or controller
Connect to any software, data store, or 3rd party system
Energy Efficiency
Understanding how energy is consumed when creating the right conditions for occupants based on changing variables enables you to fine-tune operation and find efficiencies.
Healthy Buildings
Sensors can monitor a wide range of environmental factors, including temperature, humidity, CO2, etc.; making automatic changes to performance to improve conditions.
Facility Management
Continuous, real-time data about your PACs by site, by customer, gives you the ability to manage your facilities from a centralised location and provide the service levels that your clients demand.
Shrink Costs + Find Efficiencies
Uncovers patterns, analyse performance, and use machine learning-generated insights to reduce running costs.
Predictive Maintenance
With continuous monitoring of energy consumption, fan speeds, and so on, you have the data you need to identify problems and know when to perform work before failure.
Complete, Real-Time Dashboards
Build dashboard that give you the complete view of your asset fleets' performance, their utilisation and even predict their future output - all in real-time.
Predictive Control
Timely response and quantitative control of Water Temperature, flow rate ensures stability of seawater desalination process
Reduce maintenance costs
Timely predictive maintenance information prevent costly breakdowns and allows smooth working of machinery without causing outage
Efficient Energy Consumption
Analyze vast amounts of data to optimize the usage and energy consumption in the production process of desalination
Sustainable Power
Foresees energy availability and coordinates it with desalination interactions, empowering plants to work utilizing spotless and sustainable power
Reduces environmental impact
Investigating continuous information, AI guarantees that desalination plants work at their pinnacle effectiveness, reducing costs and environmental impacts
Increases accessibility
Enhances membrane performance, predicts maintenance needs, and changes functional boundaries to limit energy utilization
Identify Future Machinery Failure
Identify anomalous machine vibrations, noise and heat to identify forthcoming failures and guide you to efficient fixes.
Reduce Maintenance Costs
Proactively schedule maintenance based on actual asset condition and cut down on unnecessary intervention, increasing the efficiency of your maintenance teams.
Prevent Unplanned Downtime
Use time-to-failure metrics to avoid unexpected machine failure and know in advance when something will fail, so your machines can run uninterrupted.
Smarter Maintenance Planning + Regimes
As you collect data, you’ll better understand how long fixes take as well as how often they need work, allowing you to optimise your maintenance schedules around your operational ones.
Increase Workplace Safety
Unexpected asset behaviour can create hazardous working environments, so identifying issues before a catastrophic failure prevents injuries and enhances workplace safety.
