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Gravio

Gravio

Overview

What is Gravio?

Gravio is an Edge Computing Platform that connects sensors and computer vision AI/ML. Gravio users can deploy the edge server called "Gravio HubKit" on their own macOS, Windows, or Linux hardware (including Raspberry Pi). Or they can use the "Gravio…

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Recent Reviews

TrustRadius Insights

Users of Gravio have experienced a range of benefits and solved various business problems with the platform. By leveraging Gravio, users …
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Pricing

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Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.gravio.com/en/plan

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $5 per month per installation
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Product Details

What is Gravio?

Gravio is an Edge Computing Platform that connects sensors and computer vision AI/ML. Gravio users can deploy the edge server called "Gravio HubKit" on their own macOS, Windows, or Linux hardware (including Raspberry Pi). Or they can use the "Gravio Hub", a set-top box that fully with LTE functionality, and the Gravio HubKit pre-installed.

Gravio integrates with common standards, including

  • HTTP Rest/API
  • MQTT
  • Zigbee
  • Bluetooth
  • ONVIF
  • RTSP
  • TensorFlow
  • EnOcean based sensors

Sensors include temperature, humidity, air pressure, buttons, vibration, laser distance, PIR/motion, magnet, CO2, barcode reader, and more. They are also considering the user's own sensors if there is a business case.

Output devices include colored light, matrix display, all sorts of APIs, including HTTP POST/GET requests, e-mail, Slack, Twilio, AWS, Google Analytics, CSV, Audio, and others.

Gravio is built for starting small and manageable but scaling big. Prototyping as well as large-scale deployment. Gravio is an edge-based IoT platform, and can work entirely offline/on-premise with one's own local "cloud" server without access to the Internet.

Gravio Features

  • Supported: Easy-to-use - Build your own system in hours, not weeks
  • Supported: AI/ML - Train your own computer vision TensorFlow models and deploy them on Gravio
  • Supported: Edge Computing - IoT platform that can work without internet connection

Gravio Screenshots

Screenshot of Data Management to organise Areas and Data LayersScreenshot of Create your own actions from an ever-growing number of action components; use the shell script component to execute any shell script based on sensor data.Screenshot of HTTP example component where you can send sensor data and values to a Rest/API endpointScreenshot of Trigger configuration to determine under which conditions an action should be executed; in this example, we use a camera feed and TensorFlow people counting model to trigger an action if more than 10 people are detected.

Gravio Video

An overview of the complete platform including use cases. More videos including tutorials and how-tos can be found on the YouTube channel

Gravio Integrations

Gravio Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux, Mac
Mobile ApplicationApple iOS, Android, Gravio Monitor, an Android/iOS app allows you to monitor sensor data at the edge
Supported CountriesJapan, Singapore, Hong Kong, United Kingdom, United States, Germany, Switzerland, Netherlands
Supported LanguagesEnglish, Japanese

Gravio Customer Size Distribution

Consumers30%
Small Businesses (1-50 employees)30%
Mid-Size Companies (51-500 employees)30%
Enterprises (more than 500 employees)10%
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Comparisons

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Reviews

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users of Gravio have experienced a range of benefits and solved various business problems with the platform. By leveraging Gravio, users have been able to create proofs-of-concept faster, allowing them to efficiently validate real-world ideas. This has been especially valuable in bridging the gap between software and hardware, enabling users to develop new and richer solutions. For example, one user successfully built a smart carpark sensor ecosystem using Gravio, harnessing the platform's capabilities for IoT device testing.

Gravio has proven to be versatile in testing a wide range of IoT devices, including movement sensors, temperature sensors, and window/door modules. This has provided users with a flexible and comprehensive solution for their IoT testing needs. Additionally, Gravio has been instrumental in making retail applications more interactive for consumers, enhancing the overall shopping experience. Users have found value in utilizing Gravio to realize their IoT ideas for office and retail design clients, offering innovative solutions tailored to their specific needs. Overall, Gravio has empowered users to overcome complex business challenges and bring their IoT concepts to life with ease.

Flexible Workflow Customization: Several users have praised Gravio for its flexibility in setting up workflows through triggers and actions. The simple user interface enables users to easily customize and adapt the software to their specific needs, allowing them to streamline their processes efficiently.

Modularity for Enhanced Functionality: Many reviewers have found the modularity of the Gravio platform to be a valuable feature. This modular approach allows users to effortlessly add new devices, expanding the functionality and versatility of the software. With this capability, users can continuously enhance their digital-physical integration without any hassle.

Openness that Fosters Innovation: Users appreciate the open nature of Gravio, with multiple reviewers emphasizing its flexible solution architecture. This openness empowers users to explore unique ideas and find custom solutions within the software framework. By providing the freedom to implement innovative approaches, Gravio supports creative problem-solving and fosters continuous improvement.

Lack of Data Visibility and Accessibility: Some users have expressed the need for better visibility and accessibility of the data captured by Gravio within Studio. This would help improve productivity and reduce reliance on third-party tools for testing purposes.

Inconsistent Layouts Across Platforms: Several reviewers have mentioned that the Windows app of Gravio could benefit from more polish, specifically in terms of having consistent layouts across different platforms. Ensuring a uniform user experience across all devices would enhance usability.

Limited Sensor Support: A common concern among users is the desire for Gravio to support a wider range of sensors. Expanding sensor compatibility would allow users to integrate more diverse types of hardware into their projects, increasing flexibility and functionality.

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