Blog

From the HR Manager, Learning & Development

Ebenezer Kalaiselvan, EinNel Technologies

Over the years, the World of Business has encountered Industrial Revolution, Information Revolution, and Social Revolution. Currently, we are in the social revolution era where necessities of the young workforce are already at hand to a great extent, therefore they have the luxury of being unemployed till they find an organization that matches their liking of job profile, job location, pay scale, work atmosphere, etc. Even after being employed, when they get bored of these preferences or face a rough patch in the organization, they tend to immediately jump jobs thereby making workforce management a tough challenge for all the organizations.

At EinNel, the foundation of leadership has been laid upon the principles of Servant Leadership, Stewardship, and Discipleship. Our team of leaders has carefully analyzed the several cultural and attitudinal transitions of the workforce from the Industrial Revolution to Social Revolution. We acknowledge that the workforce of the current era desires new and adventurous tasks, team collaboration, gamified work scenarios, etc. at their workplaces. This young generation prefers to work with high tech gadgets in attractive ambiance, friendly work culture, constructive teams, so on and so forth. Therefore, we are developing a dynamic environment that enables every individual to get recognized and appreciated by their co-workers for their achievements.

EinNel Technologies has developed a digital workplace application, “Task” where the internal employees can share their new ideas, thought processes, and skills using storyboards, reels and posts with generic details about their projects, which can be liked, commented on, forwarded and shared amongst the employees. The AI engine under development is being curated to accentuate necessary information relevant to their area of work, training needs, learning programs etc. to enhance their skills for their future career growth, and the growth of the organization. EinNel encourages employees to learn while they work and work while they learn. In general, a team comprises of different levels of performers, but we concentrate on upskilling every individual to perform their best. We follow these major principles and best practices that incline our employees to stick with us for a longer tenure. This indirect workforce management being adopted by EinNel efficiently aids us in overcoming the challenges of the social revolution era in the current world of business.

From the Business Development Manager

Ashwin Daniel, EinNel Technologies

“The goal is to turn data into information, and information into insights.”

-Clary Fiorina

In the world of automotive, the full vehicle virtual validation holds a crucial significance for developing models that comply with the global safety regulations. These validations are generally carried out using LS-Dyna explicit solvers. The dynamic simulations include a wide range of load cases such as crash simulations, strength, NVH, and durability tests. This process aids in mitigating the development cost by identifying the design faults before the production of prototypes. However, the validation process in itself is time consuming and requires specifically skilled technicians to monitor the procedure.

“EinNel MDOX”- a Next-generation AI-driven vehicle design platform, provides the perfect solution by automating the pre- and post-processing tasks along with the overall design optimization. The platform provides highly digitalized and modern data visualization storyboards that project colossal insights of the vehicle with a simple drag and drop operation. These insights will uncover a vast number of hidden attributes gathered from the dump data, thereby eliciting the designers to opt for ameliorated and optimized designs.

We assure you that with “EinNel MDOX”, the virtual automotive design phase can be completed with an 80% reduction of both time and economy. The platform is curated to guide the experts by predicting the optimal design solution and insights for swift and precise decision-making. A team of young, dedicated engineers along with experienced domain experts from different verticals are involved in developing this platform. We are on our path to delivering EinNel MDOX to the globe with the help of our Automobile, Software, Data, and AI engineers.

From the IoT Manager

Rajalakshmi, EinNel Technologies

“The Internet of Things is not a concept; it is a network, the true technology-enabled Network of all networks.”

-Edewede Oriwoh

Process industries are subjected to several demands, such as meeting production targets, minimizing costs and maximizing product quality. In addition, manufacturers must investigate the governmental safety and environmental compliance regulations. Our data-driven strategy helps to enable operations and maintenance, and aids business personnel to quickly and easily take corrective actions when aberrant conditions occur.

The Digital Transformation platforms are used to transfer the collection of historical data from the plant and turn it into significant operational insights in real-time. The data is then analyzed and visualized using python-based applications and ML tools. This complete system analysis aids in understanding the anomalies, plant working conditions, and the measures that need to be taken for improving the profitability of the plant.

The current system we are working on gives a complete health monitoring system of a plant based on the key performance indicators, and the failure prediction includes the anomaly detection, preventive maintenance, and Remaining Useful Life. This digital solution helps both small- and large-scale industries to achieve high productivity, flexibility, and speed in their operations and processes.

The IoT team at EinNel has gained exposure in processing five years of plant data to derive insights on plant operations and maintenance. We have also generated models for predictive maintenance and developed a dashboard application. In addition, we have planned and strategized to develop a digital twin application for further enhancement of the plant performance. I thank all the team members who have extended their support and commitment through the entire project.