Srikanth
What is the background of founders, and what is the journey behind getting this particular idea?
Rajul Tandon is the CEO & Founder of Enalytix – an innovative start-up in the AI & Computer Vision space. Rajul is an experienced IT professional and business owner with 17+ years of global experience in the AI and business analytics space.
Neerja Kumar is the COO & Co-founder of Enalytix leading overall operations, product development and growth strategies. She brings 20+ years of experience in business strategy, program management, and quality control for technology products.
As an SME, we always struggled to get visibility into what and how effectively our employees were doing their tasks after marking their attendance, especially during the pandemic period. Being a small set-up we did not have an elaborate ERP and were looking for ways to effectively assign tasks and monitor quality of work, especially for our field team. We decided to implement a geofenced mobile based AI system, which could be easily used by all employees and helped us streamline operations. As a result, it sparked an idea to turn it into a product for organisations that are like us.
Explain about Enalytix, what is the problem it solves?
In a traditional workplace, productivity is limited to monitoring the check in and checkout times. However, this is no more relevant in the post pandemic world. Today’s remote and hybrid workforce calls for real-time and AI-based visibility into:
- Where are employees during work hours?
- Are they effectively communicating and collaborating with peers?
- Are they performing their key tasks as expected?
There is no single automated system that gives visibility into all of the above; most of the existing systems are on-premise and do not work for all workforce types.
What is the motivation behind the idea?
We as a compamy faced certain challenges and hence we decided giving the power to organisations to build connected and productive workforce by leveraging mobile AI technology and tools, with minimal cost/change management.
Is AI on Mobile the way to Workplace 2.0?
Work is now digital and on mobile, which has created new challenges for teams working digitally across boundaries and locations. Organizations are looking to adapt to mobile technologies and tools to create connected and productive workforces.
High smartphone usage across urban, semi-urban and rural population, low mobile data costs, 5G rollout, and ability to deploy AI models on mobile phones are attracting organisations towards mobile technology solutions to build future-ready workplaces.
How is your mobile time attendance solution defining a new age for employee time tracking?
The solution offers technology-based capabilities, all rolled into one for driving EX (employee experience) across organization:
- Facial-recognition based time tracking ensures authenticity – no buddy punching
- Geofencing feature ensures the person is where he should be working from
- AI-based Productivity modules like Task Management, Time Logs, Work & Expense Reports ensure easy work management
- Computer vision and Audio-based AI reduces manual effort in scanning employee work reports and deriving relevant data points to evaluate if the task was performed as expected
- For example – In a market research organisation doing retail audits, supervisors can easily get to know if their team member has visited a required shop for data collection, as the system reads the store name from the store’s outside image;
- A sales manager can evaluate how well their sales executives interacted with the customer, by configuring the system to look for specific keywords in the conversation
- Computer vision and Audio-based AI reduces manual effort in scanning employee work reports and deriving relevant data points to evaluate if the task was performed as expected
- Collaboration and recognition modules foster employee engagement and connect between managers and employees.
Share the advantage of Artificial Intelligence for time tracking, employee collaboration, and productivity over current systems like; Biometric systems/ RFID system?
Both are different in the following ways –
- Secure & auditable facial-based time tracking
- Location-based work management
- AI platform to collaborate & augment productivity
What are the USPs (unique selling point) of your company?
A disruptive facial recognition-based mobile AI App gives holistic view of employees and their work efficiencies, in the new “work from anywhere” world.
Through a single app, an organisation can know:
- WHO -Which employees are working
- WHAT – What are they working on
- WHERE – Where are they working and collaborating from
- HOW – How well they are working
Currently none of the time & attendance apps offer all the above aspects.
How were your early days of struggle?
Mapping the product features with market requirements and rolling out newer versions at a fast pace has been our biggest challenge. Also, delivering a quality product while keeping costs minimal is another tough balancing act that demands our constant attention.
Share with us if you have received any funding?
We are a bootstrapped company and have not raised any funding yet. We will seek funding in 2023 when we are ready to scale.
What is the user base you have achieved till now?
We currently have our beta solution running in 10 large and small businesses with around 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 for subscriptions. We target to get 10,000 downloads in the next 3 Months.
How can Techiexpert help Enalytix to spread word about your start-up?
We would encourage Techiexpert to use the App for their own employees and share their positive experience with industry.
