Our Technology Focus – 2023

Our Technology Focus – 2023

Albert E George, CEO of EinNel Technologies

During our recent town hall meeting, we unveiled our tech trends for 2023. At EinNel, we regularly reassess and adjust our technology focus to ensure that we are staying up to date with the latest and most advanced technologies in the field.


EinNel Town Hall Meeting 2022


With a vision to help industries fully embrace and implement Industry 4.0 and by realizing the need to incorporate Artificial Intelligence into our solutions as it is increasingly prevalent in our daily lives, we are pivoting to the following technologies:

  1. Platform Engineering
  2. Artificial Intelligence of Things (AIoT)

Platform Engineering:

Platform engineering involves the design and development of data-driven platforms that can be used by industries to digitize their operational workflows and build a continuously growing knowledge base with the help of artificial intelligence.

EinNel drives the automotive and manufacturing industries toward streamlining their product development process through the use of platform engineering. By centralizing their distributed functions under a single platform, EinNel enables these industries to reduce the number of iterations required and improve data management. This allows for quick and easy access to data, which can greatly accelerate product development.

To promote the vision of our data-driven platforms across industries, we have devised a set of product philosophies. Some of them are listed below:

  • Immortalizing Engineering Data – Data must be preserved and continually leveraged to support future growth
  • Propel data at rest into motion – Data at rest is simply potential energy waiting to be harnessed and put into motion to drive progress and innovation
  • Make your data easy to query – Well-organized and easily accessible data is the key to unlocking its full potential and driving powerful insights
  • Live Dashboards in place of reports – Real-time, interactive dashboards provide a more dynamic and engaging way to visualize and understand data, replacing the static nature of traditional reports
  • Confluence data under one platform – Unifying an organization’s data onto a single platform enables more comprehensive and actionable decision-making

As we enter the new year, our technical team is committed to utilizing platform engineering techniques to reduce the time it takes to bring new products or services to market and continuously optimize industrial operations to better serve the customers.

EinNel AIoT Hub:

Artificial intelligence (AI) is becoming an increasingly integral part of our dailylives. From virtual assistants to self-driving cars and medical diagnosis to financial analysis, AI is transforming the way we live and work.


Recognizing the necessity of integrating Artificial Intelligence into our solutions, EinNel has decided to set up a dedicated technology hub that will bring together a team of experts, including Data Scientists, AI and ML Engineers, Domain Experts, Scientific Software Developers, Cloud Architects, and Data Engineers to build a cloud-ready AI infrastructure and unlock the business value from industrial data. By establishing this hub, we aim to stay at the forefront of technological advancements and continue to provide cutting-edge solutions to our clients.

In the first phase of establishing the EinNel AIoT Hub, our focus is to implement the following AIoT capabilities by 2023.

Integrated Data Management:

Seamlessly integrate and manage industrial data from various sources in a way that allows for easy access and predictive analysis for improved decision-making and more efficient operations.

Edge and Cloud Computing:

Building a collaborative computing platform that combines the advantages of both edge and cloud computing to create and deploy AI-powered IoT applications, sophisticated operational processes, and industry compliance standards.

Production-grade AI environment:

By enabling developers and data scientists to create, test, and deploy high-quality AI models and applications at enterprise speed and scale, organizations can adopt and utilize AI technologies to drive business value and innovation.

Industrial AI applications development:

Developing fit-for-purpose, domain-specific industrial applications by combining domain expertise and first principles-based models with artificial intelligence and analytics algorithms.

In 2023, EinNel is positioning itself to play a key role in the realization of Industry 4.0 and bringing industrial functions and technology together in a way that promotes rapid and sustainable product development by focusing on Platform Engineering and Artificial Intelligence of Things.