 
			The Hark Platform
				
							
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                The Hark Platform is an interconnected cloud-based sensor platform that allows users to monitor and gain insight into their environmental data in real-time.
Any industry standard sensor can connect to our platform, offering a plug and play solution for rapid deployments. Data is stored in the cloud for best in class security and worldwide access. Automated analysis provides unique insights into improving efficiency, maximising yield, and reducing waste.                
            
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                    The Hark Platform Plan
			Hark Analytics
			
			
			Contact Us
			300 Sensors Per Month
		
			
		
		Hark Analytics empowers the visualisation and analysis of data from industrial assets, building management systems, and other sensors to monitor and report in real-time. This data can be democratised for operational directors, asset operators, engineers, analysts, and data teams.
		
		
		Location, Assets and Sensor Management  with Access Control
		
		
		Customisable Views and Dashboard
		
		
		Data Explorer
		
		
		Real-time Monitoring, Alerting and Logging
		
		
		Plug and Play
		
		
		Deploy in the Cloud or On-Premises
			
	
			Hark Connect
			
			
			Contact Us
			1 Gateways Per Month
		
			
		
		Hark Connect is software that provides connectivity to industrial devices, assets and sensors on the edge, in the cloud and on-premises.
		
		
		Support for Industry Standard Protocols
		
		
		Vendor Agnostic
		
		
		Develop Custom Integrations
		
		
		Cloud Connectors
		
		
		Database,  BI Connectors  and Backup Options
		
		
		Edge or Cloud Options
			
	
			Hark Energy Tools
			
			
			Contact Us
			300 Meters Per Month
		
			
		
		Energy Managers, Asset Owners and Data Analysts have lots of data, but lack the time to adequately analyse that data and draw the necessary insight.
Hark Energy Tools simplifies the processing and analysis of energy data, meaning more time to take control of your estate or your customers’ site locations.
		
		
		Energy Profiling
		
		
		Baselining and Forecasting
		
		
		Time of Day Analysis
		
		
		Price and Cost Analysis
		
		
		Peak Consumption and Anomalous Consumption
		
		
		Degree Day Analysis
		
		
		Weather and External Data Comparisons
			
	 
                        









 
			 
			
		