Connect physical spaces
and create remarkable experiences.

Gravio enables new ways to connect
and interact with your environment
through the power of IoT, Edge computing and AI

Global brands are using Gravio

What is Gravio?
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 from 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.

What is Edge Computing?
The present is about Cloud Computing. But the future will be about Edge Computing: Rather than connecting and transferring all data centrally to the cloud, much of the data will be processed locally at the edge of the network, where data is generated. This approach makes systems faster, more resilient and keeps the data safer. 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 crucial information that needs to be shared across all cars will be sent to the central cloud system to be analysed and distributed.

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".

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.

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.

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.