Dataflow & Edge AI Platform

Dataguess is a Dataflow Management & Edge AI Software that enables acquiring data from IoT/IIoT devices, creating flows to process data and publishing to external environments.
 

Graph interface allows to design dataflow with drag & drop components.

Programmers and non-programmers can use it easily.

Manage All Data in One Platform

Bridge All Data

in One Platform

Run AI Models in Dataflow

Increase Machine Vision with Visual AI

Design Once Deploy Anywhere

Dataguess is a Dataflow Management & Edge AI Sorfware that enables acquiring data from IoT/IIoT devices, creating flows to process data and publishing to external environments.
 

Graph interface allows to design dataflow with drag & drop components.

Programmers and non-programmers can use it easily.

Acquire data from all systems

Dataguess can collect data from automation and IoT IIoT devices, process this data in the flow and integrate with information systems.

 

Dataguess supports industrial communication protocols, HTTP requests and visually composing dataflows.

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Visualization & Reporting

Integrated with all popular Business Intelligence solutions like Tableau, Google Sheet, Retmes MMS, Power BI, Grafana etc.

Send all data to Edge or Cloud

Dataguess has connectors for popular databases (MS-SQL, Oracle, MySQL, MongoDB, etc.) and cloud storage services (Amazon, Google, Azure, Alibaba, etc.). You can configure data sending period using scheduler of connector.

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Easy exchange of data between your business and cloud

Easily connect your business to the cloud. With Dataguess Cloud connectors, you can bridge the data you need between your business and the cloud. You can also use this data in your cloud-based applications or dataflow you create in Dataguess.

Create your own application using Dataguess APIs

With Dataguess built-in Rest API & web sockets, you can get the data to your own application while also sending your application data to Dataguess.

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Fast, Reliable and Multi-Processing

With Dataguess state-of-the-art technology stack, data is processed fast and reliably. Dataflow management engine runs every dataflow as a OS process. In this way, exceptional situation that may occur in a dataflow does not affect other ones. So the uptime of the system is maximized.

Predictive Maintenance

Predictive maintenance uses data science and predictive analytics to estimate when a piece of equipment might fail so that corrective maintenance can be scheduled before the point of failure. The goal is to schedule maintenance at the most convenient and most cost-efficient moment, allowing equipment’s lifespan to be optimized to it's fullest, but before the equipment has been compromised.

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Computer Vision

Use the Computer Vision technologies and OpenCV (Open Source Computer Vision Library) library as you wish in your projects.

You can easily integrate many computer vision applications such as positioning, quality control, classification, color control, existence control, dimension measurement into your projects.

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Scripting Language Support

When you need, you can use python script in data flow and design the flow according to process. You can develop and run your AI model with the Python script editor.

Platform Independent

Dataguess supports all popular OS (Windows, Linux, MacOS, Raspberry PI), virtualization (vmware, VirtualBox, Hyper-V) and docker container.

How It Works

Start Your 14 Days Trial

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Take a Look 

Want to get more information about how Dataguess works?

You can get information from docs page to access detailed information about the product and to review the documents on how to use it.

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