This FAQ answers some of the most popular questions about Pratexo. Please click here to reach out to us at any time to dive deeper into these or other questions.

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What is edge computing?2022-01-11T09:36:03-08:00

Edge computing is the practice of capturing, processing, and analyzing data (information) close to where it is created, instead from a distant, centralized data-processing center (the ‘cloud’). The “edge” can be located almost anywhere–on a device (like a camera or phone), at an industrial machine, in a vehicle, in a building, or even on a person. Technologies such as artificial intelligence/machine learning and internet of things (IoT) are closely related to edge computing. Some datapoints about edge computing:

  • Gartner: “Currently, around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, Gartner predicts this figure will reach 75%.”
  • IDC: “By 2023, more than half of new enterprise IT infrastructure deployed will be at the edge rather than corporate data centers, up from less than 10 percent today, according to IDC. The number of applications at the edge will increase 800% by 2024, IDC predicts.”

For a simple explanation of Pratexo and edge computing, please see this video:

Is Pratexo compatible with GCP, AWS, or Azure?2022-01-11T14:15:37-08:00

Since it is based on an open-source foundation, Pratexo is architected to be highly compatible with all major cloud providers. In fact, Pratexo can help reduce ‘lock-in’ to any particular cloud provider.

If you have already standardized on the IoT platforms and edge-related technologies of Azure or AWS, you will find that Pratexo enables you to run your applications all the way to the far edge, without necessarily requiring connectivity to central clouds for maintenance and support.

Please contact Pratexo to learn more about how we play well with all the major ‘hyperscaler’ clouds.

With 5G coming, do we need edge computing?2022-01-11T14:15:44-08:00

5G refers to a wide range of technologies and standards that fundamentally involve the ability to transmit higher volumes of data through radio frequency waves. Some of these technologies run at the ‘telco edge’, often referred to as Multi-Access or Mobile Edge Computing (MEC). As a result, 5G will likely drive the continued explosion in applications and systems that both generate and process ever-increasing volumes of data.

But 5G will not eliminate the need to process data at the far edge, closest to the machines, systems, and sensors that generate it. This is due to factors like cost, speed of data transfer (latency), data security, privacy, or trying to operate in challenging environments where reliably connecting to even the telco edge is not always easy or even possible.

Ultimately, computing at the far edge (with a platform like Pratexo) and 5G technologies must be integrated to ensure complete edge-to-cloud solutions that are reliable, secure, and highly performant.

How is edge and distributed computing related?2022-01-11T14:15:51-08:00

Distributed computing involved connecting multiple computers together so they can solve more complex challenges than any individual computer could tackle on its own. By distributing these computers near the edge (called ‘edge nodes’), they can form what we call a ‘micro cloud’ on the edge.

Micro clouds running on the edge are highly reliable, scalable and make it possible for inexpensive, low-power computers to tackle even the hardest challenges such as applying artificial intelligence to real-time data and controlling autonomous systems.

What is the difference between Pratexo and an IoT platform?2022-01-12T06:30:23-08:00

IoT platforms generally involve the ability to do basic data processing on the edge, perhaps enabling dashboards and alerts, and then push this IoT data to a central cloud where more complex applications may be hosted. This works in some situations. But, in many cases, factors such as latency, data security, privacy, cost, and the requirement to support fully or partially disconnected systems on the edge make relying solely on this approach impractical.

Pratexo fundamentally enables an organization to run applications at the far edge, including complex systems that incorporate machine learning or artificial intelligence. Pratexo technology is complementary to most IoT platforms, and overcomes the issues listed above. To discuss this further, with respect to any particular IoT platform, please reach out to us.


Who creates the applications that run on Pratexo?2022-01-12T06:30:46-08:00
  • Our professional services team can do that work either by ourselves or along with your internal teams.
  • We have also formed a team of systems integrators and solution providers that can build on top of Pratexo, include companies like Industry Core in manufacturing, PropTechCore in Smart Buildings, LuxML in defense, Attentec and Matellio for heavy industry are some examples of partners we currently have on board.
  • See our Partners page or reach out to us directly so we can help you find the perfect partner.
What kind of applications can run on Pratexo?2022-01-12T06:30:36-08:00

Ultimately any complex application that needs to process data in real time, at the ‘far edge’ near to where the data is generated is a good candidate to run on Pratexo. Some common application types include:

  • Those that make buildings smarter and greener
  • Systems that manage self-driving fleets of vehicles of any type
  • Manufacturing operations working to improve quality or efficiency
  • Solutions that prevent equipment and machines from breaking down
  • Connected infrastructure such as power grids and communication networks
  • Systems working to improve human safety or security

Pratexo has a specific offering geared towards helping organizations identify and design specific projects to take advantage of edge computing and unlock the value of AI and IoT. Please reach out to us to discuss this further.

What makes Pratexo special?2022-01-12T06:30:54-08:00

There are four characteristics that make Pratexo special:

  • Platform enables the rapid configuration and provisioning of custom edge architectures – no such thing as one size fits all on the edge
  • Support for complex environments that are fully or partially disconnected from central clouds
  • Available as a turnkey, plug and play system including software and hardware
  • Future proof: bringing the power of a micro-cloud to the far edge the evolution from basic apps to intelligent systems using AI, without having to start over each time you go to the next level
How much does Pratexo cost?2022-01-12T06:30:30-08:00

We sell Pratexo either as software-only, or as a complete plug-and-play solution including edge computing hardware. It is generally sold as a service, and pricing varies based on the number of edge nodes you are running.

Pratexo also does one-off pilots and POCs and holds training courses and workshops. Please contact us directly for more info or to receive a specific project quotation.

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