Mobile AI-based time tracking and workforce productivity with Enalytix

What is the background of the founders and what is the background behind this particular idea?

Rajul Tandon is the CEO and Founder of Enalytix – an innovative start-up in the field of AI and computer vision. Rajul is an experienced IT professional and business owner with over 17 years of global experience in AI and business analytics.

Neerja Kumar is the COO and co-founder of Enalytix, leading global operations, product development and growth strategies. She brings over 20 years of experience in business strategy, program management and quality control of technology products.

As an SME, we have always struggled to have visibility into what our employees were doing and how effectively after marking their presence, especially during the pandemic period. Being a small organization, we didn’t have an elaborate ERP and were looking for ways to efficiently allocate tasks and monitor the quality of work, especially for our field team. We decided to implement a geo-fenced mobile AI system, which could be easily used by all employees and helped us streamline operations. As a result, it sparked the idea of ​​making it a product for organizations like us.

Explain about Enalytix, what is the problem it solves?

In a traditional workplace, productivity is limited to controlling check-in and check-out times. However, this is no longer relevant in the post-pandemic world. Today’s remote and hybrid workforce requires real-time, AI-powered visibility into:

  • Where are the employees during working hours?
  • Do they communicate and collaborate effectively with their peers?
  • Are they performing their main tasks as expected?

There is no single automated system that provides visibility into all of the above; most existing systems are on-premises and don’t work for all types of labor.

What is the motivation behind the idea?

As a company, we have faced some challenges and so we decided to empower organizations to build a connected and productive workforce by leveraging mobile AI technology and tools, with minimal cost/change management.

Is mobile AI the way to Workplace 2.0?

Work is now digital and mobile, which has created new challenges for teams working digitally across borders and locations. Organizations are looking to adapt to mobile technologies and tools to create a connected and productive workforce.

High smartphone usage in urban, semi-urban and rural populations, low mobile data costs, 5G deployment and the possibility of deploying AI models on mobile phones are attracting organizations towards mobile technology to create future-ready workplaces.

How is your mobile time attendance solution defining a new era for employee time tracking?

The solution offers technology-based features all rolled into one to drive EX (employee experience) across the organization:

  • Facial recognition-based time tracking ensures authenticity – no punching friends
  • Geofencing function ensures the person is where they should be working
  • AI-powered productivity modules such as task management, time logs, work and expense reports ensure easy work management
    • Computer vision and audio-based AI reduce manual efforts to scan employee work reports and derive relevant data points to assess whether the task was performed as planned
      • For example – In a market research organization performing retail audits, supervisors can easily tell if a member of their team has visited a store required for data collection because the system reads the store name at from the exterior image of the store;
      • A sales manager can gauge the quality of his sales executives’ interaction with the customer, by configuring the system to search for specific keywords in the conversation.
  • Collaboration and recognition modules promote employee engagement and create bonds between managers and employees.

Share the advantage of artificial intelligence for time tracking, employee collaboration and productivity over current systems such as; Biometric systems / RFID system?

Both are different in the following ways –

  • Secure and auditable face-based time tracking
  • Location-based work management
  • AI platform to collaborate and increase productivity

What are your company’s USPs (Unique Selling Point)?

A mobile AI application based on facial recognition gives a holistic view of employees and their work efficiency, in the new world of “work from anywhere”.

With a single application, an organization can know:

  • WHO – Which employees work
  • WHAT – What are they working on
  • WHERE – Where do they work and collaborate from
  • HOW – How well they work

Currently, none of the time and attendance apps offer all of the above features.

How were your first days of wrestling?

Mapping product functionality with market requirements and rolling out new versions at a rapid pace has been our biggest challenge. Additionally, delivering a quality product while minimizing costs is another difficult balancing act that demands our constant attention.

Share with us if you have received funding?

We are a start-up company and have not yet raised funds. We will seek funding in 2023 when we are ready to scale.

What is the user base you have reached so far?

We currently have our beta solution running in 10 large and small businesses with over 300 employees registered and actively using the app.

What are the new areas for expansion?

We already have the app ready and it is available in the playstore for download. Now we need to increase our marketing efforts and push subscriptions. Our goal is to get 10,000 downloads in the next 3 months.

How can Techiexpert help Enalytix promote your start-up?

We encourage Techiexpert to use the app for their own employees and share their positive experience with the industry.

About Anne Wurtsbach

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