The nervous system for the physical world
Enabling internet of things for high density connectivity and computing (IoT-HD)
Why High density IoT?
By utilizing a large amount of wireless sensors, the ability to collect granular, geo-spatially correlated data such as temperature, humidity, and airpressure are all possible.
Imagine thousands of sensors,
and all collecting real-time data.
Each Edyza node will collect thousands of real-time data to reach new levels of efficiency. Combined with our fog, edge, and cloud computing platform, our high density deployment, will offer enough data to enable the next level of artificial intelligence for the Internet of Things.
Utilizing Edyza's new radio design tuned for high density and energy efficiency
Deploying a high density IoT envionment means creating a sensor tuned specifically for high density. With our new radio design, our nodes have the ability to scale with low power to be 2000x more efficient than any other competitor using Zigbee or Bluetooth.
Implemented using a tree network for unprecedented scalability.
By utilizing a tree network for the Edyza wireless architecture, we are enabling our nodes to scale for true high density. Each node will self-organize their connections, effectively enabling a wireless network that uniquely forms around your environment.
Edyza Hardware Stack
To form a high density environment Edyza has set up multiple routes for data to pass through and get stored. From our nodes collecting data to the gateway and edge servers to create a cloud and fog infrastructure.
You can have these nodes placed throughout your entire facility. Over the course of the day the nodes will be collecting an unprecedented amount of data including temperature, humidity, and air pressure.
To route the data being collected to the gateways or edge servers, nodes will connect to hubs to send all the data they collect up the network hierarchy.
Gateways include Edyza Radios and Wi-Fi or LTE radios. They have independent connections to the cloud and are not aware of the other gateways in the network.
Intel-based Linux operating system deployments. They include backup power, local database, workflow engine, and control interfaces to enable fog computing.
Learn how we test and provision our light controllers
Learn how we prototyped our controllers in real environments
The Edyza wireless network uses two primary network architectures for high density IoT. Edge-enabled, which uses our Edge Servers, and Edgeless, which uses our Gateways. Each Edge Server or Gateway can connect up to 8 Hubs which can create node trees of as many as 100 nodes each.
The edge-enabled network uses one or more Edge Servers that are connected to WAN (Ethernet) or WLAN (Wi-Fi) connection. By using Edge Servers in the network, they create modular redundancy for mission critical controls that change often.
The edgeless network uses one or more Gateways that are connected to the WLAN (Wi-Fi) or WWAN(LTE) connection. By using Gateways, you can set up light weight network architecture.
Edyza's Edge Servers provides redundancy through XMR.
At Edyza, X Modular Redundancy offers a new level of control over your IoT environment even when the power goes down. Each Edge Server is equipped with a docker image that can offer local storage and control. Adding more Edge Servers to offer more than the traditional Triple Modular Redundancy means you'll never have to worry about losing your data or controls.
Edyza Software Stack
Our software stack inside each sensor includes everything from the firmware, to the application layer that handles workflow, to the configuration file. These also utilize various deployment methods when updates are needed such as OTA.
the underlying firmware is meant to handle the sensor's functionality, collecting temperature, humidity, and air pressure. Additionally it will handle the controls needed for each sensor.
The application layer provides access to all the sensor functionality within each node. Using the configuration files, the application software can filter data that best fits the requirements of any environment.
Using our functions can offer more control over your workflow.
Each configuration file will be used as a set of rules for the application to send specific data from our nodes.
Edyza's cloud computing will provide real-time data for analysis.
Edyza will not only be able to provide a platform for analyzing data sent to the cloud, but we will also be able to connect to another cloud platform based on the user's needs.
Use Edyza's software to make dynamic changes to our nodes.
With our python layer you will have access to all the functionality within our nodes. Perform computations and utilize locally stored data.
We design the nervous system
From design to deployment
When designing for a IoT environment there needs to be tons of research and trial and error. At Edyza we've done our research and many design iterations to provide optimal node design and placement in your environment.
We take into account the environment the sensors will be placed in, the workflow, potential hazards, etc.
Using the information from our research, our product designer creates the best design for a node encasing and a best placement for a node in your environment.
Using 3d printing we create the cases and test them out in the desired environment. Multiple iterations may be needed to achieve the best design.
Edyza's enabling the next level of artificial intelligence for the commercial, government, and industrial IoT.
The Edyza Team
Our team is powered by individuals seeking to be a part of the next generation of IoT. With the team mainly consisting of engineers working across multiple roles, the knowledge of an engineer creates the ultimate IoT startup culture.
Rana Basheer, PhD
CTO and Co-Founder
Rana Basheer has over 18 years of commercial and academic experience in wireless, radar, and positioning. Most recently, Rana was a Principal Scientist at Broadcom in their mobile wireless group focused reducing the power consumption of GPS chipsets. He joined Broadcom after achieving his PhD in Computer Engineering at University of Missouri-Rolla publishing much of his work around real-time localization using radio signals. Prior to that, he was an Embedded System Manager at Garmin where he focused on industrial use cases for low power wireless in Garmin’s marine chartplotters. Rana enjoys running in the outskirts of the city where there is no connectivity whatsoever.
CEO and Co-Founder
Atul Patel has over 16 years of experience through 4 successful startups in SaaS and data-centric sales and advertising automation. He was the founder and CEO of OneScreen (acquired), a digital video syndication platform that utilized its media graph to match advertisers, content owners and publishers. He was also the Co-Founder of OptimalSocial (acquired) which utilizes Facebook’s open graph to optimize social advertising. Atul was a Co-Founder and Co-Inventor of Jornaya (fka LeadiD) which employed a blockchain-like audit trail to leads and is used by most major lead buyers. He advises and serves on the board of several companies. Atul enjoys spending time with his three kids.