And gives you
Flexible IoT ecosystem
IoT ecosystems that are FLEXIBLE and FUTURE PROOF!
Solutions are collections of devices, sensors, data pipelines, applications and appliances and easily interchangeable.
Templates for industry or use-case based measurements, metrics, benchmarks and performance are accumulated and re-used.
Device connections to multiple IoT cloud or on-premise platforms are created with a single click.
Swapping on or out a service is simple and IoT use cases can be mixed and matched to leverage the best features of each platform.
Trialing new technologies and refining these in a controlled environment is a breeze. The deploying these to production at scale is a matter of point and click.
No single vendor lock-in
IoT cloud providers each have unique features and benefits. Azure can be cheaper for some types of hosting, AWS the greatest range of products, Googles Tensor engine has appeal in machine learning.
As a consequence of the learning curve and feature path customers can find themselves wedded to the incumbent platform because of the cost of transition, retooling and reskilling workers.
Vendor lock-in restricts budgets, locks into that vendors pricing and restricts innovation.
Cypernex overcomes lock-in by providing seamless mixing of each vendors unique offering. You can swap from one vendor to another for specific services and features.
No single vendor lock-in
IoT cloud providers each have unique features and benefits. Azure can be cheaper for some types of hosting, AWS the greatest range of products, Googles Tensor engine has appeal in machine learning.
As a consequence of the learning curve and feature path customers can find themselves wedded to the incumbent platform because of the cost of transition, retooling and reskilling workers.
Vendor lock-in restricts budgets, locks into that vendors pricing and restricts innovation.
Cypernex overcomes lock-in by providing seamless mixing of each vendors unique offering. You can swap from one vendor to another for specific services and features.
Choice of IoT platforms
Choose the right tool for the job. The right IoT platform provider for one use-case may not be the best for another.
Choosing to store all IoT telemetry in AWS make get expensive if your constantly reading it into Google to use with its machine learning tools. Cypernex Edge connected gateways and smart devices, receive, separate and distribute telemetry data to the platform where it will be used.
Modern IoT devices are producing a wider variety of data points, some of which are of value to more than one use-case. Splitting and routing parts of the telemetry to leverage that IoT platform is just doing business smarter.
Self hosted IoT platform
If you have poor or unreliable internet connection or maybe you have concerns over opening the organization up to direct connection to the internet.
Using a device such as a QNAP NAS your can bring all the features of the internet inhouse using your own private cloud!
Modern NAS provide the same services internally using open source applications. QNAP QIoT, Thingsboard, Node-Red,Streamsets, Virtualization and Container station packages integrate directly with Cypernex.
This same NAS will connect with Modbus and run as an OPC-UA client and server allowing the device to stream data real time into databases whist passing it through to other operational processes and machinery.
Self hosted IoT platform
If you have poor or unreliable internet connection or maybe you have concerns over opening the organization up to direct connection to the internet.
Using a device such as a QNAP NAS your can bring all the features of the internet inhouse using your own private cloud!
Modern NAS provide the same services internally using open source applications. QNAP QIoT, Thingsboard, Node-Red,Streamsets, Virtualization and Container station packages integrate directly with Cypernex.
This same NAS will connect with Modbus and run as an OPC-UA client and server allowing the device to stream data real time into databases whist passing it through to other operational processes and machinery.
MQTT content standards
Cypernex SDK and custom development utilize an MQTT standard for topic, property and attributes. This standard applies to all MQTT payloads exchanged from a device built using the integrated C# sketch generation tool in our platform.
The standard ensures that regardless of the developers knowledge of the business or native language, terminology and spelling of MQTT data is always consistent. This consistency is an essential requirement for predictive learning and machine to machine interoperability.
If a datapoint is named temperature on one device and tempature on another, associations will be missed or need manual intervention.
Developer SDK and workspace
Cypernex SDK and custom development tools, produce C# source code into Platform.Io projects ready to compile and deploy.
The SDK includes a container pre-installed with the OTA software. On-premise private cloud deployments provide OTA update locally via mqtt.
Devices connected the Cloud platforms will receive OTA by the cloud platforms OTA.
The SDK comes with a PCB, enclosure and a breakout board where your able to connect over 30 different types of low-cost sensors available from eBay or other on-line retailers.
Using the pre-define recipes in the platform you can connect and flash your device easily and begin your IoT journey at very low cost.
Developer SDK and workspace
Cypernex SDK and custom development tools, produce C# source code into Platform.Io projects ready to compile and deploy.
The SDK includes a container pre-installed with the OTA software. On-premise private cloud deployments provide OTA update locally via mqtt.
Devices connected the Cloud platforms will receive OTA by the cloud platforms OTA.
The SDK comes with a PCB, enclosure and a breakout board where your able to connect over 30 different types of low-cost sensors available from eBay or other on-line retailers.
Using the pre-define recipes in the platform you can connect and flash your device easily and begin your IoT journey at very low cost.
1-click -> Use-case to fleet
Use-cases are a collection of devices and resources designed to provide a solution for a particular industry, community or process.
Association of applications, devices, sensor configuration and calibration parameters, pipeline, database and containers with that use-case is a convenient way to deploy and change these use-cases across device fleets, regions and customers.
Uses cases such as a public Aquaponics facility managed by local government, may have sensors and actuators to control aquatic and agricultural environments, but also a series of sensors to measure public environment, visitors, air quality, temperature, wind and rainfall that is shared as public information in a website.
A single click can deploy or update multiple use-cases across a number of facilities at several locations with a single click.
Ai / ML by use-case
Building on the above use-case deployment, if a use case requires local on-location machine learning inference engines to provide low latency high volume response to real time events, the use-case can be deployed with micro-services (e.g. Docker containers) that determine and carry out the best response for the event.
These machine learning responses (inferences) are performed on Edge compute devices locally and the record of their activity may or may not be passed onto the cloud.
Use of local edge compute is becoming more common place in production, building management, agriculture and facilities management.
Ai / ML by use-case
Building on the above use-case deployment, if a use case requires local on-location machine learning inference engines to provide low latency high volume response to real time events, the use-case can be deployed with micro-services (e.g. Docker containers) that determine and carry out the best response for the event.
These machine learning responses (inferences) are performed on Edge compute devices locally and the record of their activity may or may not be passed onto the cloud.
Use of local edge compute is becoming more common place in production, building management, agriculture and facilities management.
Predictive learning engine
Predictive learning is not predictive modelling or predictive analytics which are both only extension of machine learning.
Predictive learning engines are the next step in the evolution for use of machine learning. A trained model is one where a data scientist has a set of tools that extract an outcome from known features in a dataset.
Predictive learning is where the models previously trained are put to work to find anomalies that we have not yet thought of. A form of synthetic thinking if you will.
Cypernex R&D teams have already run successful trials of appliances that perform targetted predictive learning. As we continue these initiates it is our goal to attract like minded companies to join us in these pioneering initatives. On our current trajectory we expect to announce a commercial offering of Predictive learning by 2023.
IoT Starter-kit
Cypernex offers an IoT starter kit with a sample IoT device, SDK, platform.Io project, ESP12 based micro-controller, 5 common sensors, enclosure, Cypernex account, and all the setup and services you would need to have your first IoT device on line on your office in minutes.
IoT starter kits are available from the Cypernex on line store or from your preferred Cypernex reseller.
ALTERNATELY: QNAP Edge compute starter kits contain a QNAP NAS with your chosen storage drives, preinstalled with Cypernex containers, virtual machines, node-red, QIOT, SDK, ESP12, 5xsensors and Raspberry Pi pre-installed as appliances connected to pre-installed dashboards and data pipelines.
A private cloud evaluation kit in 1 step.
IoT Starter-kit
Cypernex offers an IoT starter kit with a sample IoT device, SDK, platform.Io project, ESP12 based micro-controller, 5 common sensors, enclosure, Cypernex account, and all the setup and services you would need to have your first IoT device on line on your office in minutes.
IoT starter kits are available from the Cypernex on line store or from your preferred Cypernex reseller.
ALTERNATELY: QNAP Edge compute starter kits contain a QNAP NAS with your chosen storage drives, preinstalled with Cypernex containers, virtual machines, node-red, QIOT, SDK, ESP12, 5xsensors and Raspberry Pi pre-installed as appliances connected to pre-installed dashboards and data pipelines.
A private cloud evaluation kit in 1 step.