IoT is getting integrated into all of our lives. The devices are getting smarter and sutainability is revered. Energy Swipe offers out-of-box solutions to connect household devices over the network. These could be shared devices in co-living spaces, hospitality chains, apartment complexes, etc. Users can opt for pay-as-you-go model instead of owning them. Users can operate using interfaces like mobile apps, messaging services like Whatsapp, etc.
Pay on the go (as per usage or time based rentals or a hybrid of both) as well as subscription models are available. Services support both prepaid as well as postpaid.
The microservices based architecture enables the platform to support the scale of a start up as well as a high growing enterprise load with ease.
Native app for iOS and Android devices. Powerful APIs. Cloud infrastructure
A centralised dashboard with comprehensive reporting and management tools to manage all your business needs
Operations and other support apps to manage your functions smoothly
Platform enables the complete end to end workflow for device operation and management including the deployment. Allows you to add, manage and remove machines from network with comepletely automated and guided workflow.
Solution provides capablity to define, manage and reterive the location of the stores(kiosk) for easy pick up and returns. We can also enable the navigations capablity to locate and visit nearest stores for end user.
Our Platform enables remote management of machines, Admin can use a dashboard to monitor and manage install base remotely. Includes capablities like firmaware upgarde, debug etc.
An easy to use, custom monitors and application models all come together to provide a comprehensive and easy to setup enviorment monitor.
With ready to use modular componenet we can help you to go early in market, Highly customisable Platform which enables business to choose the right workflow as per their needs.
The contineous monitoring of networks helps determine the condition of in-service equipment in order to estimate when maintenance should be performed.
