Then Manages

Multiple Cloud platforms

Cypernex leverages the best from each IoT platform you use. You use the best features, cost plans, functionality from all our partners including AWS, Azure, Google and any of the over 600 IoT collection, aggregation firms with specialist vertical solutions.

Consolidate IoT capability under a “single-pane-of-glass” to provide enterprise wide, cross platform, cross functionality access and control of technologies from one or more of the many “human interfaces” options on offer.

Use the best features with a single-click and avoid vendor lock-in!

IoT Connectivity platforms

There are 600+ IoT connectivity platforms available today each with a unique value for specific use-cases. Most top tier carriers and connectivity platforms, provide API for connection with Cypernex.

Planning and building solutions in Cypernex first, then deploying each iot-application in the most suitable IoT connectivity platform(s) facilitates infinite expansion, flexibility, platform interoperability and lower cost of ownership.

IoT Connectivity platforms

There are 600+ IoT connectivity platforms available today each with a unique value for specific use-cases. Most top tier carriers and connectivity platforms, provide API for connection with Cypernex.

Planning and building solutions in Cypernex first, then deploying each iot-application in the most suitable IoT connectivity platform(s) facilitates infinite expansion, flexibility, platform interoperability and lower cost of ownership.

Edge computing

Modern IoT deployments rely on Edge computing gateways, virtual machines and appliance for security, robustness, speed of capture, speed of response, localized Ai/ML deployment, telemetry data backup, lower cloud hosting costs, backup, redundancy, data sovereignty, privacy and governance just to name a few.

Cypernex manages these smart devices, the IoT sensors / actuators they use, the data pipelines they use to connect with the cloud and the applications, dashboards, ML instances that consume and repurpose the data in both on-premise and in the cloud.

IoT commissioning / life cycle

Deploying IoT at scale requires devices, often firmware containing private device keys, serial numbers, uuids, when, where and by whom they were installed, last changed, when to update, upgrade, decommission.

Cypernet links directly with IoT cloud platforms to set up and manage large scale device, application, dashboards, virtual machines, docker containers and pipelines flows for all applications in the hubs, by region and customer.

Cypernet periodically captures and disposed of Digital-Twin data that contains device condition such as status, signal strength used in early prediction of service outage, interuptions or trigger events.

ML models trained to recognise patterns trigger maintenance and service tasks for automated systems and service staff.

Pre-defined lifecycle templates are compared to devices by application, duty cycle, location to pre-plan automated and semiautomated commissioning, upgrade, decomissioning activities across the IoT ecosystem. 

IoT commissioning / life cycle

Deploying IoT at scale requires devices, often firmware containing private device keys, serial numbers, uuids, when, where and by whom they were installed, last changed, when to update, upgrade, decommission.

Cypernet links directly with IoT cloud platforms to set up and manage large scale device, application, dashboards, virtual machines, docker containers and pipelines flows for all applications in the hubs, by region and customer.

Cypernet periodically captures and disposed of Digital-Twin data that contains device condition such as status, signal strength used in early prediction of service outage, interuptions or trigger events.

ML models trained to recognise patterns trigger maintenance and service tasks for automated systems and service staff.

Pre-defined lifecycle templates are compared to devices by application, duty cycle, location to pre-plan automated and semiautomated commissioning, upgrade, decomissioning activities across the IoT ecosystem. 

IoT service / support / triage

Cypernet manages devices as assets. Schematics, specifications, model and manufacturer, install, upgrade, commissioning information is maintained automatically. Operators and automated systems can detect anomalies and create service tickets to be directed into your favourite services application or managed within Cypernex.

Cypernex is a self-learning platform. The more information you provide it, the smarter it gets. Problem identification starts with symptoms, if the technician records the outcome, the platform will remember and remind of that solution when it next occurs.

If in addition other solutions are associated with this problem, it will learn to recommend and justify preventive actions or change to duty cycle before outages occur.

Deploy / manage by use-case

Cypernet manages industry specific solutions such as Vineyards, building environment, parking as a use-case. A use-case often requires several iot-applications to perform its duties. Each application may use the same or different sensors as another application but for a different outcome.

Cypernet associates sensors, data-pipelines, dashboards, machine instance, cloud iot platforms, subscriptions, containers with use-cases allowing it to deploy fully functioning iot-solutions with a single-click.

Use-case deployment replaces months of effort by technicians and support personnel to “spin-up “ a new business solution in minutes.

Deploy / manage by use-case

Cypernet manages industry specific solutions such as Vineyards, building environment, parking as a use-case. A use-case often requires several iot-applications to perform its duties. Each application may use the same or different sensors as another application but for a different outcome.

Cypernet associates sensors, data-pipelines, dashboards, machine instance, cloud iot platforms, subscriptions, containers with use-cases allowing it to deploy fully functioning iot-solutions with a single-click.

Use-case deployment replaces months of effort by technicians and support personnel to “spin-up “ a new business solution in minutes.

Data pipelines at scale

IoT data pipelines are the backbone through which data is passed, cleansed, categorized, embellished or refactored to allow an iot-application to perform its intended purpose and use-case.

These pipelines must be deployed with technical precision, at the correct time and have the supporting microservices, databases, functions and credentials needed to work first time.

Use-cases applications are first created and tested, then cloned for deployment at scale. Profile packages for the IoT devices, dashboards, Node-Red, Streamsets, container are deployed in the correct sequence with version control and secure connections.

Data visualization by role

Modern IoT ecosystems produce information at a staggering rate and while advances in data pipeline and machine learning have resulted in more timely and relevant information, there are today more choices of medium that can deliver the right type of information at the right time and place.

Web content on PC, Mobile, tablet will continue to be the default channel, but visualization in location with smart OLed or ePaper on devices or walls, large display panels in a foyers or production setting, smart mirrors, window panes, AR/VR and VR HUD panels all require data privacy, access rights , timing and governance oversight.

Cypernet provides data management of content production and release by user and user community across all visualization channels.

Data visualization by role

Modern IoT ecosystems produce information at a staggering rate and while advances in data pipeline and machine learning have resulted in more timely and relevant information, there are today more choices of medium that can deliver the right type of information at the right time and place.

Web content on PC, Mobile, tablet will continue to be the default channel, but visualization in location with smart OLed or ePaper on devices or walls, large display panels in a foyers or production setting, smart mirrors, window panes, AR/VR and VR HUD panels all require data privacy, access rights , timing and governance oversight.

Cypernet provides data management of content production and release by user and user community across all visualization channels.

Machine Learning & VR at scale

Cypernet periodically samples and disposes of Digital-twins data for status and telemetry data used by training and trained models.

The embedded metrics engine performs preliminary conversion of raw data into features adopting useful language and terminology related to the use-case. E.g. Temperature-sensor-1 becomes Fish-Tank-01 water surface temperature, Hall-effect-counter-3421 becomes Production-line-24-conveyer-2-grid-speed. Then when refactored into real time and averaged data features they are recorded in a time-series database as cleansed data features ready to use.

These and other types of data features are recorded against the device and the make and model of the device, so when used again these same features are automatically created. Devices models also contain pre-sets, forecasts, benchmarks of performance, industry guidelines and even how these devices will appear and behave in AR and VR scenes.

The ability to manufacture new data relevant to the use-case creates a living feast of data features for data scientists and VR developers.

Device life cycle / OTA

IoT ecosystems contain a mixture of single purpose devices maintained remotely, updated infrequently by their manufacturer, gateways or edge devices on-premise equipment with locally connected sensors (ModBus, WiFi, hard-wired).

Some of these are designed to be updated by their owner, some by manufacturer, some never.

Cypernet provides an easy way for you to manage updates (over-the-air) commissioning/ updating to AWS Greengrass, RTOS, Microsoft IoT, small-board linux (e.g. Rasp Pi), Arduino and ESP32/8266 devices.

The platform also distributes updates to virtual appliances running Virtual-OS2 compliant AR/VR applications on mobiles, PC’s and VR headsets.

Device life cycle / OTA

IoT ecosystems contain a mixture of single purpose devices maintained remotely, updated infrequently by their manufacturer, gateways or edge devices on-premise equipment with locally connected sensors (ModBus, WiFi, hard-wired).

Some of these are designed to be updated by their owner, some by manufacturer, some never.

Cypernet provides an easy way for you to manage updates (over-the-air) commissioning/ updating to AWS Greengrass, RTOS, Microsoft IoT, small-board linux (e.g. Rasp Pi), Arduino and ESP32/8266 devices.

The platform also distributes updates to virtual appliances running Virtual-OS2 compliant AR/VR applications on mobiles, PC’s and VR headsets.

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