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Effective URL: https://www.gravio.com/en
Submission: On March 10 via api from US — Scanned from DE
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// to execute custom code in "whenClicked" attribute, for example for the "Chat to us" Button What is Gravio?ProductPricingDevicesBlogEnterprise English English日本語 BETAGetting StartedGravio HubKit ManualGravio Coordinator ManualFAQOfficially Supported Sensors Documentation Gravio HubKit ManualGravio Coordinator ManualFAQOfficially Supported Sensors RegisterLogin WE BUILT GRAVIO TO ENABLE YOU WITH IOT AND AI CAPABILITIES AT THE EDGE. NO-CODE/LOW-CODE. What is Gravio? What is Edge Computing? How is Gravio used? Join us on Slack GLOBAL BRANDS ARE USING GRAVIO Why others chose Gravio Edge Computing - Gravio is an Edge Computing platform. That means it runs at the edge of the network, even completely without any access to the internet. An increasing amount of customers request this on-premise IoT solution. Hardware Sensors and Software Sensors in One - Gravio combines physical sensors with computer vision/AI/ML in one single platform. Both types of sensor behave in very similar ways in Gravio. Many customers love the option to train their own AI/ML cameras for their very own purposes. Extremely Easy to Use - Gravio is designed to be very simple to use, without any coding or or programming knowledge. Of course you can run your own custom scripts if the existing building blocks are not sufficient for your requirements. Many customers love the fact that they can start very quickly and get results fast with Gravio due to it's ease of use. What is Gravio? Gravio is an easy-to-use software platform that runs on Windows, macOS or Linux. You can connect to various inputs and outputs, including some bundled IoT sensors, computer vision/AI cameras and MQTT or HTTP APIs. Gravio is very easy to use without software programming knowledge. Gravio unlocks the power of connected technologies by connecting sensors, input devices, cameras and APIs within a space, then continuously gather and share their information - enabling new ways to interact with, learn from and enhance a physical space. To create these experiences, Gravio provides a powerful low-code / no-code environment to enable entrepreneurs and organisations of all sizes - across industries - to build custom, connected experiences for new and existing environments. And to help scale and manage spaces and experiences, Gravio also provides solutions to help connected spaces grow from prototypes up to production use, from single installs to multiple sites. Gravio is a product of Asteria - the Japanese market leader of application integration software - who believes in the power of connectivity, and the vast potential for connected spaces. Easy Visual Interface Gravio is easy to use, yet powerful and flexible. It is built around an intuitive, simple to understand drag-and-drop user interface. Setting up and configuring a IoT system with Gravio does not require any programming knowledge. Gravio Studio, the configuration software runs on Windows, Mac and iOS devices. Robust Scaling Whether it’s a small prototype to start with or a full scale industrial infrastructure project that requires parallel capturing of data from thousands of sensors simultaneously, Gravio is designed to cater for all challenges. With over 6,500 corporations using Gravio’s sister product Asteria, we have proven to know how to build and deploy industrial scale products. Devices Included When setting up a edge computing or IoT infrastructure, finding the right, compatible devices can often be a big challange. This is why Gravio comes with free rental devices bundled in the package. Simply upgrade to "Basic" and you can pick the devices suitable for your needs. We are constantly adding new sensors and devices to our range of supported devices. Edge Computing Edge computing can improve efficiency, resiliency and security by distributing the system more from a centralized system. Furthermore, transferring sensitive data such as CCTV images to the cloud are problematic from the data protection point of view. However if the data is processed on site at the Edge of a network, such issues can be avoided. Gravio is a partner of the Kinetic Edge Alliance, which is an alliance of industry-leading companies collaborating to make designing, deploying and operating edge computing easy. More information on https://www.vapor.io/partners/kinetic-edge-alliance/ The Kinetic Edge Alliance | Vapor IO https://www.vapor.io What Customers and Partners say Find more feedback on G2 What is Edge Computing? Rather than connecting and transferring all data to a cloud system, majority of the data will be processed locally at the edge of the network, where it is generated. This distributed approach makes systems faster, more resilient and keeps the data safer, because it does not necessarily need to connect to the Internet. A great example for Edge computing are connected, smart or even self-driving cars. They will do much of the computation at the edge of the network, i.e. in the car. While only information that needs to be shared for example with an app will be sent to the central cloud system to be processed. Cloud Computing Edge Computing The Edge servers can be connected efficiently between each other as well as to a cloud system. Example: Image Processing in the Edge Edge Computing leverages the power of distributed systems. It allows for more efficiency, resilience and security. Gravio is built on the premise that in the future, systems will process data on the edge of the network rather than in a centralised cloud. For example, Edge Servers will process local image data, extract the necessary information using Artificial Intelligence and discard the image before passing the extracted information on via the internet. How is Gravio used? Gravio can be used in many different contexts thanks to its versatility and flexibility. Whatever business you are in, the better you leverage the data, the more successful your organisation will be. Here are a few examples of how that could look: Optimise Footfall Optimise Footfall Smart Shops and Restaurants Brick and mortar shops as well as restaurants can benefit greatly from data generated such as footfall, occupancy rates, percentage of people coming into the venue, whereabouts they dwell, what they are buying and how they behave. Identifying trends such as decreasing relative footfall early can be crucial for a business, to its tactics and ultimate survival. Gravio helps you up-smart your existing infrastructure easily and turn your business into a "smart location". Chat to us Gather Data Gather Data Smart Cities Urban dwellings are now collecting enormous amounts of data. To optimise the efficiency of a city, it is crucial to track and analyse flows of people, traffic and goods to make informed decisions. A distributed system such as Gravio can gather this information in a decentralised fashion and pass on any pre-processed information efficiently to a central instance for further analysis. Gravio can be deployed easily and scaled up efficiently. Chat to us Analyse and Measure Improvements Analyse and Measure Improvements Optimisation of Business Processes Business processes have become much more sophisticated and therefore complex in the past few decades. Especially connectivity, monitoring, sensor deployment and use of “intelligent systems” have started entering the industrial production process, most notably with “Industry 4.0” initiatives. With Gravio, information can be captured at large scale in real-time to be processed further or to be analysed for optimisation. Chat to us Observe and Alert Observe and Alert Predictive Maintenance Even a few minutes of outage in a production line can mean losses of thousands of dollars. Connected devices and sensors are increasingly used to predict breakdowns before they happen, so replacement can be put in place in time or precautions can be taken. Gravio, alongside with its data processing and Artificial Intelligence capabilities is able to provide a reliable system that can minimise plant or production outage by predicting outages and alerting the right stakeholders timely. 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