Trending February 2024 # Exclusive Interview With Gaurav Singh, Ceo And Founder Of Verloop.io # Suggested March 2024 # Top 7 Popular

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Brief introduction about Gaurav Singh, what’s the journey behind getting this particular idea.

I started coding when I was 13 years old. As I grew up in Rewa, Madhya Pradesh (a small town about 400 kilometers away from the capital Bhopal) getting access to the right information was a challenge. It was my passion for technology that helped me to stride on. Another thing that I was clear about was that I wanted to start something of my own. However, I did not dive right into it. After my graduation, I worked in companies such as TCS, LT Research, and Vizury to understand the functioning before starting my venture GoDeliver. GoDeliver was acquired by MagicTiger and shortly after this, I founded chúng tôi at the age of 25. The biggest challenge that all companies and brands face in this age of instant gratification is engaging with customers and building loyalty. The challenges become even more pronounced in mature markets. chúng tôi was started with the objective of plugging in this need gap. I realized that there needs to be a far superior technology solution in the market — one that can bring an unprecedented level of personalization in customer interaction. chúng tôi through its Conversation AI helps brands to connect better with their customers and solve their queries more efficiently in lesser time and cost.  

Can you explain about Verloop.io

Verloop.io is the world’s leading customer support automation platform that enables businesses to deliver delightful support experiences to their customers across channels. Founded in 2024, chúng tôi has been instrumental in supporting global brands to effortlessly, and accurately scale up their customer support in a secure manner. We provide a Conversational AI product for Customer Support Teams. What this means is that we are hyper focussed on creating features that enable B2C brands to automate, personalize and scale support conversations with their customers. Our messaging layer is equipped to handle over 100k concurrent connections and processes over 4.3 million messages per second. We started automating chat in the year 2023-18 and we have seen great adoption with brands like Nykaa, Decathlon, Lido Learning amongst other global brands such as ADIB and Landmark Group.  

1. Pre-Sale: When any new customer is searching for information or product, a bot would be able to build personalized recommendations to ensure a smoother experience and acceleration towards revenue 2. Post-Sale: This is where the new moat or differentiation is being built with B2C brands. Customers today want their queries resolved on the channel and time of their choice. And with Conversational AI, forward-looking brands are able to deliver on the same, leading to higher retention and thus higher profitability  

What is the success rate of introducing Conversational AI to the conventional approach?

Verloop.io helps brands enable them to answer data-driven queries without interfacing with customer support, enabling live agents to access all information from a single platform and increasing agent efficiency through historical and contextual customer information Brands that have adopted chúng tôi have seen a 2x increase in their Customer Satisfaction Scores (CSAT) and a 5x increase in the agent effectiveness within 3-6 months. This has also resulted in a significant drop in call volumes to call centres, as automation deflected a lot of queries. This in turn has resulted in annualized cost savings of more than $1Bn dollars across our clients.  

What’s the USP (unique selling point) of Verloop.

Verloop.io is Conversational AI for Customer Support. Our USP is that we are super focused on the Customer Support space. Our product is built ground up for Customer Support, whether it is the data that we surface (Agent Effectiveness, NPS, CSAT, Bot Performance, Average Handling Time amongst others) or the narrow ML models we have for multiple industries that ensure brands get higher precision and coverage when they deploy chúng tôi out of the box. We ensure brands that use chúng tôi are enabled to deliver delightful support experiences to their customers at scale. Given Customer Support functions have a lot of silo tools, chúng tôi offers integrations to 140+ products across ticketing, CRM, marketing, and analytics that help support agents to develop rich user-profiles and build campaigns that increase customer experience.  

Funding received (if any)

In 2023, chúng tôi leapfrogged to become one of the biggest chat automation processors in India. To pave way for further growth, we have also established a new office in Abu Dhabi office and established Verloop Labs Limited. Continuing on the growth chart, we had raised Series A Funding in August 2023. At that juncture, we had raised $5 million through Falcon Edge Capital along with existing investors IDFC Parampara, Kris Gopalkrishnan, and K Ganesh. We are also investing as much as $2.5 million into developing super bots that can understand natural languages, called NLP super bots, for improving support automation.  

User base you have achieved till now.

Verloop.io has been adopted by 200+ brands across India, the Middle East, Africa, and Southeast Asia. In the course of its journey, chúng tôi has processed over 4 billion queries from customers across its clients, with over 100 million unique users having interacted with its platform.  

Future plans

We are looking to expand both in terms of markets and product. With the launch of our Voice bot, we are looking to build an Operating system for Customer Support. Our first and second phase of growth was in the Indian subcontinent and the Middle East from which we have seen great adoption across India, GCC (UAE, Qatar, Saudi, etc.), South Africa, and Southeast Asia (Indonesia, Philippines, Malaysia, and Thailand) with new countries adding to 30% of growth. Our third phase of growth will be marked in terms of expansion in the Americas (North and South America) and Europe. We aim to establish a global footprint by 2023 and enable brands to build a truly delightful support experience for their customers.  

How do you see the chatbot space panning out amid the pandemic?

You're reading Exclusive Interview With Gaurav Singh, Ceo And Founder Of Verloop.io

Exclusive Interview With Anshul Rustaggi, Founder Of Totality Corp

Structuring scattered data can be a tough job unless there is AI to help in the operations. There are now a number of startups and firms providing this service for businesses to start getting these insights without having to spend money and effort to execute the same. Totality Corp specializes in various types of information technology fields that include mobile gaming, 3D technology & tool development. Analytics Insight has engaged in an exclusive interview with Anshul Rustaggi, Founder of

1. How can businesses efficiently extract the value from data, without increasing cost and complexity?

Big data needs AI to recognize patterns & actionable insights. There are now a number of startups and firms providing this service for businesses to start getting these insights without having to spend money and effort to execute the same. My recommendation is that once the businesses find value from such insights including a good return from implementing the recommendations, they should start building an internal team to create the same expertise internally so that these insights can become a moat for the business.  

2. What is your roadmap for the NFT gaming market?

We believe that a great NFT game will need to have great content, fun engagement, and interactions in the game and provide users rewards that are both social currency and monetary. We also need to engage 3 different types of audiences. The first is young engaged gamers, followed by a large user base looking at Web3 as an asset class. Lastly, a large part of the population would engage as they feel emotionally connected to Indian cultural content. We are democratizing content creation through contests like Durga NFT where we are inviting the community to create content for the ZIonverse community. We are developing game templates so that anyone can launch their own game easily through our mobile app and we are going to launch Sanskar tokens (social currency) and Shakti tokens (tangible currency) for users to earn rewards which form a foundation for Web3 game systems.  

3. What is your Leadership Mantra?

The three foundational mantras for leadership from my point of view are empathy, respect, and trust in all my team members. I believe in leadership by example. If there is something I am unwilling to do, I have no right to expect the same from my team members. I believe strongly that my role is to work for my team and my team is best placed to solve all the puzzles which we have undertaken together.  

4. What are some of the challenges faced by your company today?

It is a challenging environment to hire the right talent across the board. There is a race to get the best people. We are very careful of who we are and we value attitude, willingness to learn, and passion to solve the puzzles we are solving. Another challenge is the uncertain regulatory environment with regards to Web3 and cryptocurrency. We strongly believe that India is best placed to become the global leader in Web3 as the US became for Web1 and China became for Web2, and are hopeful that the Government provides a framework that accelerates the development of the industry in India which will create huge employment opportunities, FDI inflows and also give a great experience to the consumers.  

5. How has the adoption of blockchain/Metaverse in India evolved over the last few years?

India is already the 2nd highest number of Web3 users in the World and growing at a fast pace. There is a lot of interest from the community to engage with Web3 ecosystems for gaming, decentralized finance, and trading. There is a thriving community of creators, builders, developers, and entrepreneurs who are creating innovative businesses around Web3. We see a lot of transitions of developers happening from the Web2 world to Web3. We strongly believe that the mass adoption of Web3 by the community in India started last year in 2023.  

6. Where do you see growth coming in for the sector? 7. How do you see the company and the industry in the future ahead?

Structuring scattered data can be a tough job unless there is AI to help in the operations. There are now a number of startups and firms providing this service for businesses to start getting these insights without having to spend money and effort to execute the same. Totality Corp specializes in various types of information technology fields that include mobile gaming, 3D technology & tool development. Analytics Insight has engaged in an exclusive interview with Anshul Rustaggi, Founder of Totality Corp Big data needs AI to recognize patterns & actionable insights. There are now a number of startups and firms providing this service for businesses to start getting these insights without having to spend money and effort to execute the same. My recommendation is that once the businesses find value from such insights including a good return from implementing the recommendations, they should start building an internal team to create the same expertise internally so that these insights can become a moat for the chúng tôi believe that a great NFT game will need to have great content, fun engagement, and interactions in the game and provide users rewards that are both social currency and monetary. We also need to engage 3 different types of audiences. The first is young engaged gamers, followed by a large user base looking at Web3 as an asset class. Lastly, a large part of the population would engage as they feel emotionally connected to Indian cultural content. We are democratizing content creation through contests like Durga NFT where we are inviting the community to create content for the ZIonverse community. We are developing game templates so that anyone can launch their own game easily through our mobile app and we are going to launch Sanskar tokens (social currency) and Shakti tokens (tangible currency) for users to earn rewards which form a foundation for Web3 game chúng tôi three foundational mantras for leadership from my point of view are empathy, respect, and trust in all my team members. I believe in leadership by example. If there is something I am unwilling to do, I have no right to expect the same from my team members. I believe strongly that my role is to work for my team and my team is best placed to solve all the puzzles which we have undertaken chúng tôi is a challenging environment to hire the right talent across the board. There is a race to get the best people. We are very careful of who we are and we value attitude, willingness to learn, and passion to solve the puzzles we are solving. Another challenge is the uncertain regulatory environment with regards to Web3 and cryptocurrency. We strongly believe that India is best placed to become the global leader in Web3 as the US became for Web1 and China became for Web2, and are hopeful that the Government provides a framework that accelerates the development of the industry in India which will create huge employment opportunities, FDI inflows and also give a great experience to the consumers.India is already the 2nd highest number of Web3 users in the World and growing at a fast pace. There is a lot of interest from the community to engage with Web3 ecosystems for gaming, decentralized finance, and trading. There is a thriving community of creators, builders, developers, and entrepreneurs who are creating innovative businesses around Web3. We see a lot of transitions of developers happening from the Web2 world to Web3. We strongly believe that the mass adoption of Web3 by the community in India started last year in 2023.There are a few different audiences we find in India for the sector. We see a lot of interest from the young audience who are highly engaged in blockchain gaming, NFT creation, and trading. A lot of growth is also coming from the community that considers Web3 as an alternative and attractive asset class. We do feel that there are very attractive opportunities to make money in Web3 though, given the early stages of the technology, there will be a lot of volatility going forward. Lastly we also the people from all industries who are learning about Web3 and spending time to understand how their industries will change with Web3 and how they can leverage this technological change to their chúng tôi are very excited about the Web3 space, India’s role, and what we are building for our amazing community. We are creating a decentralized metaverse for India with content themed around Indian culture and mythology. We are launching our first game in May 2023, our next NFT drop, Trimurti NFT next month in April 2023. We believe that by the end of this year, we will enable the community to create their own 3D games using the Zionverse mobile application and enable them to monetize their games, NFT, and content through the platform. We are also launching a creator DAO and Web3 school as these were demanded from us by our community.

Exclusive Interview With Ashish Acharya, Founder, Propsoch

Propsoch is a tech platform that gives home buyers access to expert insights into the home buying process. This is built by industry experts to help home buyers make the right investments without regrets. The prop-tech startup offers a seamless platform for legal, Vastu, architecture, interior, and transaction services. Going beyond the regular listings and promoted content that is seen in the property portals, Propsoch delivers technical inputs which significantly empower home buyers in one of the biggest decisions of their lives. Analytics Insight has engaged in an exclusive interview with Ashish Acharya, Founder,

1. Kindly brief us about the company, its specialization, and the services that your company offers.

Propsoch is a team of experienced professionals from the real estate industry who have branched out to help homebuyers in their purchase journey by facilitating unbiased, rational, and data-backed information. Having a combined experience of 50+ years in the Real Estate industry, we ease the tedious home buying journey. The company’s platform aims to transform the home-buying experience for the Indian consumer by combining proprietary data analytics, industry expertise, and consumer reviews to provide unbiased inputs and recommendations, enabling home buyers to access detailed insights based on data analytics and in-house expertise to make informed home-buying decisions.  

2. With what mission and objectives, the company was set up? In short, tell us about your journey since the inception of the company.

Propsoch was born with a vision of eliminating Buyer’s remorse for every home buyer in India. We plan to achieve this by combining industry expertise with data science to provide unbiased insights and direction to the millions of Home buyers in India. Our objective is to declutter the marketing noise in the home buying journey and give consumers the right tools to make good decisions. We are currently tracking more than 1.5 Lakh homes in Bangalore and are offering our services to home buyers through our platform chúng tôi For every Property, we have a checklist of 150+ parameters on which we collect data and derive insights. Currently, we are continuously improving the platform to make it as user-friendly as possible while building our data analytics capabilities to deliver a far superior experience.  

3. Brief us about the proactive Founder/CEO of the company and his/her contributions to the company and the industry.

A Prop-tech startup, Propsoch is founded by Ashish Acharya, who has more than 15 years of experience working in marquee corporates in the Indian real estate industry. He brings in the expertise, networks, and strategic vision for the venture while being hands-on in operations & marketing. In his 12-year tenure at Godrej Properties Limited, he has built high-performing teams, across business development, strategy marketing & sales functions. He played an integral part in the rapid growth of Godrej Properties in the last decade and worked across South India and NCR markets. During his tenure at ANAROCK, as the Director for Land Services, Ashish worked with clients across residential, commercial, retail, and alternative asset classes. He specialized in enabling large-scale Joint Ventures and transactions and played a vital role in the closure of several marquee transactions.  

4. Tell us how your company is contributing to the IoT/AI/Big Data Analytics/Robotics/Self-Driving Vehicles/Cloud Computing industry of the nation and how the company is benefiting the clients 5. Kindly share your point of view on the current scenario of Big Data Analytics and its future.

In today’s scenario, technology drives everything, and every work process is automated and tracked. A lot of data is being generated at every touchpoint and big data analytics is key to processing this data for improving business performance and consumer satisfaction. For instance, in residential home buying, an enormous level of information is generated by the complexity and scale of the residential projects and also by virtue of homebuyers’ tendencies. Only analytics can help find trends and patterns that match demand and supply sides to make suitable decisions at both ends. Big data analytics is growing at an enormous pace and is evolving the way businesses are managed and we envisage it to be the main differentiator between successful and unsuccessful businesses.  

6. Kindly mention some of the major challenges the company has faced till now.

Real estate across the country typically lacks transparency and is very unorganized. This is even more prominent in the residential segment. This creates a serious barrier for anyone looking to collect accurate data and derive the right insights. It needs a deep understanding of the industry to enable this. Also, there is a huge mismatch between the real demand vis-a-vis what is being supplied in the market. This results in products being pushed aggressively through marketing channels with no value addition for the homebuyers. This influx of marketing money has the potential of blocking efforts to make positive changes in the industry. We see this as a short-term challenge, as we feel that as long as there is an inherent value in the solution we are providing, we will be able to reach our customers. We take inspiration from Zerodha and Ditto who have faced similar challenges in their sectors and have succeeded in building strong businesses based on the honesty and quality of their service.  

7. What is your biggest USP that differentiates the company from competitors?

Also, we believe that every homebuyer has his own set of requirements, and customization to his needs is the only way to ensure total customer satisfaction. Our algorithm ranks properties through a combination of the requirements set by the homebuyer and by our data-backed ratings and expertise.  

8. How is IoT/Big Data/AI/Robotics evolving today in the industry as a whole? What are the most important trends that you see emerging across the globe?

IoT/Big Data/Artificial Intelligence/Robotics is a cutting-edge technology that, with the help of IoT sensors, connects various physical objects located on real estate properties, providing users with an interconnected way to gather the information that allows them to automate various repetitive operations, detect potential equipment flows, and create a more unified and informed user experience. These integrated technologies along with the combination of high-tech hardware and machine learning are making sure that the realty market continues to grow at a fast rate. An individual can now buy and sell properties in a much more streamlined manner. Real estate middlemen are leveraging IoT/AI/Big Data to provide much better services to consumers thus improving the overall satisfaction levels. Renting a house has become much easier. Metro/Big cities are enhancing the living conditions of people thus increasing the overall productivity. High-tech sensors and data are resulting in improved safety and security measures for natives. We expect the pace of innovation to continue in the real estate sector given the huge market opportunity.  

9. Please brief us about the products/services/solutions you provide to your customers and how they get value out of it.

Exclusive Interview With Karthikeyan K, Co

Learn more about a smart personal loan with Karthikeyan K of KreditBee in this interview

Traditional financial platforms are facing a lot of challenges these days regarding creating communication between customers and the finance sector. The aim of smart financial platforms is to resolve these issues by using technologies like jam stack with a serverless microservices modification. Along with BNPL card and personal SaaS solutions, KreditBee is such a smart personal loan platform. Analytics Insight has engaged in an exclusive interview with Karthikeyan K, Co-Founder & CTO of KreditBee.  

• Kindly brief us about KreditBee, its specialization, and the services it offers

KreditBee is an Instant Personal Loan platform for self-employed and salaried professionals, where they can apply for a Personal Loan starting from ₹ 1,000 up to ₹ 2 Lakhs as per their requirement. We aim to become the first choice when it comes to quick and convenient credit products. We have different categories of loan products catering to varied target segments, as follows:

Flexi Personal Loans – Small loans ranging from ₹1,000 to ₹10,000 with short repayment tenures (62 days to 6 months). One requires a PAN Card and address proof to benefit from a flexible loan option

Personal Loans for Salaried – Salary Loans start from ₹10,000 to ₹2 Lakhs with tenure ranging from 3 to 15 months. All you need is a PAN Card, address proof, and salary proof to apply for salaried loans

Online Purchase Loans – A Buy Now, Pay Later EMI option. In such loans, one can avail E-vouchers from KreditBee which can be used to purchase items on partner platforms like Flipkart, Amazon, Myntra, Nykaa, MakeMyTrip & more

PPLSE (Premium Personal Loan for Self-employed) aims to assist self-employed individuals to meet all their business expenses quickly and easily. They can avail the funds between Rs. 4,000 to Rs. ₹2 Lakhs in one go and repay it over flexible loan tenures

We recently launched the KreditBee Card, a virtual credit card that allows users to withdraw cash into their bank account or purchase anything online. Further, we offer different value-added services, such as:

Loan-linked Insurance – An insurance product that is linked to the short-term loans offered on the KreditBee platform, with coverage beyond the loan repayment

Credit Score Report – A Free Experian Report for all Credit Users of KreditBee

• Is there a specific pain point KreditBee is trying to address? If yes, how?

The idea for a platform like KreditBee was conceived with the aim to extend credit to self-employed and salaried individuals. This relatively new-to-credit segment is underserved, if not unserved, by the traditional financial institutes. The non-service to these individuals is due to the inability of traditional financing setups (including banks and NBFCs) to appropriately understand their credit requirements and assess their repayment capabilities. KreditBee addresses this credit gap by leveraging enhanced technology architecture. At KreditBee, we offer a wide range of credit products in varying ticket sizes and repayment tenures to suit all the unpredictable financial needs of our customers. This is made possible by our approach to utilize alternate lending and profound data points apart from salary and bureau scores in order to disburse credit to young professionals who are new to credit, and also to non-salaried gig workers including part-timers, freelancers, and self-employed. Our full-stack digital lending platform allows customers to get loans from their smartphones directly into their bank account at any given point of time with no paperwork or branch visits required. Further, the entire loan application process is online, right from eligibility check, application, disbursement, and repayment. This enables a seamless customer experience for the borrowers.  

• When did you join KreditBee? What are your key roles and responsibilities as the CTO?

As one of the founding members of the company, I was involved in KreditBee’s operations since March 2024, prior to its formation. My role as a CTO at KreditBee has been constantly evolving, as the product is going through various stages of its life cycle. In the inception phase, it involved ensuring the development of the Minimum Viable Product (MVP) version. At present, the team has grown to a larger unit with over 20 sub-teams, which has also brought changes in my responsibilities. My role now involves making sure that the team has the right contours, striking a balance between design/technology and timelines to bring business value faster, new products, new integrations, overall governance, performance improvements, overall strategy, and POC for new technologies, services, etc.  

• Explain how you are leveraging AI/ ML for the gamification of the underwriting process?

AI/ML has a prominent role to play in our underwriting process. Our section known as Price Discovery provides multiple options to customers, to submit their details. The process involves a gamification element as it unlocks rewards such as reduced fees and more, as per the information provided by the customer. With further customer interaction, the AI/ML technology stack updates the customer’s intent score based on the actual information provided by the customer. Cumulatively, all of the AI technologies/ML models update over 15,000 variables for each customer. This allows us to conduct a comprehensive underwriting of the borrowers.  

• What tech tools do you use?

At KreditBee, we utilize numerous technology tools as a part of multiple stacks. One of the more prominent ones is the customer-facing stack wherein, we use a jam stack with a serverless microservices modification. The two important languages utilized are React for our frontend and Go for backend operations on AWS Lambda. The tech architecture is further layered for security, authentication, permissions, among others. Also, we leverage different stacks internally, in the domains of data science, data engineering, business intelligence teams, etc. Fundamentally, we strive to use serverless or other managed services, so as to allow the core team to focus on bringing continuous business value.  

• What is KreditBee’s business roadmap like for 2023?

At present, KreditBee has a user base of more than 30 Million with over 5 million credit customers. We have disbursed over $2 billion worth of loans in the last three years. In late August, we launched KreditBee cards and as of now, are already issuing over 5,000 cards daily. By March 2023, we aim to issue over 250,000 cards every month. Further, we are in the process of launching BNPL (Buy-Now-Pay-Later) services. We also have a SaaS platform to provide API services to multiple fintech companies and brands, and we look to enhance its operationalization. Our diversification plans also involve venturing into digitally-enabled secured loans, home loans, and credit lines. With this, we intend to consolidate and saturate the market with the existing lending portfolio with the idea of full-stack digital lending.  

• What is your Leadership Mantra?

Traditional financial platforms are facing a lot of challenges these days regarding creating communication between customers and the finance sector. The aim of smart financial platforms is to resolve these issues by using technologies like jam stack with a serverless microservices modification. Along with BNPL card and personal SaaS solutions, KreditBee is such a smart personal loan platform. Analytics Insight has engaged in an exclusive interview with Karthikeyan K, Co-Founder & CTO of KreditBee.KreditBee is an Instant Personal Loan platform for self-employed and salaried professionals, where they can apply for a Personal Loan starting from ₹ 1,000 up to ₹ 2 Lakhs as per their requirement. We aim to become the first choice when it comes to quick and convenient credit products. We have different categories of loan products catering to varied target segments, as follows:We recently launched the KreditBee Card, a virtual credit card that allows users to withdraw cash into their bank account or purchase anything online. Further, we offer different value-added services, such as:The idea for a platform like KreditBee was conceived with the aim to extend credit to self-employed and salaried individuals. This relatively new-to-credit segment is underserved, if not unserved, by the traditional financial institutes. The non-service to these individuals is due to the inability of traditional financing setups (including banks and NBFCs) to appropriately understand their credit requirements and assess their repayment capabilities. KreditBee addresses this credit gap by leveraging enhanced technology architecture. At KreditBee, we offer a wide range of credit products in varying ticket sizes and repayment tenures to suit all the unpredictable financial needs of our customers. This is made possible by our approach to utilize alternate lending and profound data points apart from salary and bureau scores in order to disburse credit to young professionals who are new to credit, and also to non-salaried gig workers including part-timers, freelancers, and self-employed. Our full-stack digital lending platform allows customers to get loans from their smartphones directly into their bank account at any given point of time with no paperwork or branch visits required. Further, the entire loan application process is online, right from eligibility check, application, disbursement, and repayment. This enables a seamless customer experience for the chúng tôi one of the founding members of the company, I was involved in KreditBee’s operations since March 2024, prior to its formation. My role as a CTO at KreditBee has been constantly evolving, as the product is going through various stages of its life cycle. In the inception phase, it involved ensuring the development of the Minimum Viable Product (MVP) version. At present, the team has grown to a larger unit with over 20 sub-teams, which has also brought changes in my responsibilities. My role now involves making sure that the team has the right contours, striking a balance between design/technology and timelines to bring business value faster, new products, new integrations, overall governance, performance improvements, overall strategy, and POC for new technologies, services, chúng tôi has a prominent role to play in our underwriting process. Our section known as Price Discovery provides multiple options to customers, to submit their details. The process involves a gamification element as it unlocks rewards such as reduced fees and more, as per the information provided by the customer. With further customer interaction, the AI/ML technology stack updates the customer’s intent score based on the actual information provided by the customer. Cumulatively, all of the AI technologies/ML models update over 15,000 variables for each customer. This allows us to conduct a comprehensive underwriting of the chúng tôi KreditBee, we utilize numerous technology tools as a part of multiple stacks. One of the more prominent ones is the customer-facing stack wherein, we use a jam stack with a serverless microservices modification. The two important languages utilized are React for our frontend and Go for backend operations on AWS Lambda. The tech architecture is further layered for security, authentication, permissions, among others. Also, we leverage different stacks internally, in the domains of data science, data engineering, business intelligence teams, etc. Fundamentally, we strive to use serverless or other managed services, so as to allow the core team to focus on bringing continuous business chúng tôi present, KreditBee has a user base of more than 30 Million with over 5 million credit customers. We have disbursed over $2 billion worth of loans in the last three years. In late August, we launched KreditBee cards and as of now, are already issuing over 5,000 cards daily. By March 2023, we aim to issue over 250,000 cards every month. Further, we are in the process of launching BNPL (Buy-Now-Pay-Later) services. We also have a SaaS platform to provide API services to multiple fintech companies and brands, and we look to enhance its operationalization. Our diversification plans also involve venturing into digitally-enabled secured loans, home loans, and credit lines. With this, we intend to consolidate and saturate the market with the existing lending portfolio with the idea of full-stack digital lending.I believe in Purpose-driven leadership. At KreditBee, we are striving towards building a one-stop financing solution for salaried and self-employed individuals, towards the country’s financial inclusion imperative. In order to achieve this, collaboration and innovation lie at the very core. It is essential to understand the needs of the customer, especially in the Fintech industry. Considering the dynamic nature of the current economic landscape, we need to constantly evolve ourselves to be able to service customers with effective solutions, efficiently. Once the company’s focus is aligned, the elements of individuals’ learning, growth, and development follow naturally.

Exclusive Interview With Rohit Rathi, Co

Globally, the market of finance apps is booming. The finance app industry is in the midst of staggering growth in global adoption, from 16% in 2024 to 64% in 2023, which is putting pressure on marketers to uplevel and digitize user acquisition and experience. KarmaLife aims to provide sustainable finance, a combination of liquidity, savings, and insurance to every gig & contract worker to stabilize & grow cash flows, strengthen their resilience, and unlock their aspirations. Analytics Insight has engaged in an exclusive interview with Rohit Rathi, Co-founder, and CEO,

1. With what mission and objectives, the company was set up? In short, tell us about your journey since the inception of the company?

Our mission at KarmaLife is to provide sustainable finance – a combination of liquidity, savings, and insurance – to every gig & contract worker to stabilize & grow cash flows, strengthen their resilience, and unlock their aspirations. The key impediment to this segment’s ability to access formal finance is not having adequate data points to assess creditworthiness, which is why we’re building an alternative dynamic underwriting model linked to their work and earnings histories as well as other behavioral variables. Further, given the large trust deficit vis-a-vis formal financial products, we are reinventing the entire user experience journey to create more relevance, engagement, and reinforce trust. We started our journey back in 2023 and have since validated a small-ticket, short-tenor credit product that allows users to access funds needed in between paychecks. Our research shows that up to 90% of workers run out of cash before their next payout cycle (see

2. Tell us how your company is contributing using AI and how the company is benefitting the clients.

We are building a new paradigm in small-ticket finance for non-salaried blue-collar workers. Most of our users are young, hardworking, and responsible individuals who are steady earners and spenders but yet, remain credit Invisible (i.e., have no records of a traditional credit score). So, during times of crisis, while running short on cash, they are forced to rely on expensive non-traditional lenders or ask for financial help from friends and family, which results in escalated financial or emotional stress. In such difficult times, Karmalife enables these workers access to flexible credit-on-tap credit, which in turn helps manage cash flows. The overall experience is also tailored to their needs with key features like digital onboarding, payout-linked repayments, UPI scan & pay on credit, and flat usage-based fees (without any interest or hidden charges). We have a very strong data-driven culture with most of our business decisions being anchored in data. In particular, we have developed the following data-based features: i) KarmaScore: This is our proprietary risk score driven by user permission alternative data. It’s in line with conventional credit scores but what stands it apart is its exclusivity for KarmaLife users as it is graded on our financial products. This score helps us during the initial user onboarding process as well as estimates user-level risk continuously for future credit cycles by considering credit usage, repayments, and other financial behaviors. We use several machine learning algorithms to help us achieve this with transparent and consistent scoring rules. This enables 3-minute digital onboarding and thereby instant access to credit in times of user need. It also enables the financial inclusion of workers who would otherwise be left outside the traditional credit ecosystem. And finally, it helps build a credit history for new-to-credit or credit-invisible populations with a financial product that is closely aligned to their needs, aspirations, and cash flows. ii) Dynamic credit allotment: We dynamically assign credit limits based on user performance at the workplace or past repayment. So, a user’s credit limits can change, i.e., increase or decrease based on the latest information that is captured. To this, we apply several predictive machine learning algorithms. This allows us to build in natural incentive structures that reward users who have shown good “financial Karma” with higher or more flexible credits in future cycles, and at the same time manage downside risk. Overall, it instills and reinforces positive user behavior on the platform, creating a financially responsible user base. iii) Fund projections: For better operations with our partner-NBFCs, we use various time-series forecasting models to predict future funds requirements. This allows us to optimize the float we need to carry to offer instant credit and ensure cost-effective operations. This in turn helps partner NBFCs to forecast their disbursements, and efficiently manage their cash flows. And on the other hand, it ensures Karmalife users have a seamless experience and can access affordable credit.  

3. Kindly mention some of the major challenges the company has faced till now.

One of our biggest challenges has been getting initial data on our users and identifying those with the lowest risk. This is partly because traditional scoring mechanisms are either absent or not reflective of the user’s true risk. While we initially had the vision of using work data, we had to learn to ingest and process it in a way to create an effective intelligence layer to support our products. This took quite a few partner cycles to attain and we continue to improve on it. We have also had to find anchor partners with the long-term vision and data hygiene to build a new operations model that requires seamless data integration. While it would have been great if everyone had state-of-the-art API infrastructure, we learned to support all types of automation and manual sharing protocols, while maintaining automation on our platform. Strong data management and data quality thresholds are elusive for many workforce-intensive corporations and this is an ongoing cultural struggle. But hopefully, with solutions like ours, there is a greater imperative for these data cultures to emerge. Further, we had to validate a new business model that while simple, had no precedence. A subscription-based model for finance is a first in India, and it took us some time to establish its relevance and simplicity for our target segment. Being the first subscription-based credit solution in the country allows us to truly focus on customer lifecycle value. And then we had to overcome barriers associated with low levels of financial literacy in our target segment, which needed us to design, test, and implement various product features that drove greater adoption and engagement. Real-time loan decisioning to allow users to access funds instantly was one such example. Creating web-based alternatives to mobile apps for frictionless onboarding is another. These were all moving parts, and getting them together was the biggest challenge. But without addressing these challenges we wouldn’t have been able to build the product we have.  

4. What is your biggest USP that differentiates the company from competitors?

Our alternative data-driven risk scoring model is unique in the industry wherein we can dynamically underwrite and cover gig & contract workers, who are characterized by real-time risk. This allows us to cover the full spectrum of a Partner’s worker base – including gig, contract, and even on-payroll workers – with personalized financial wellness benefits. Further, we expand coverage by starting with very small ticket, short-duration credit products linked to earnings, under a viable financial model, which allows us to get in quickly and offer progressively deeper credit products over time.  

5. As you mentioned, tell us how data and AI can be used in financial inclusions

The recent COVID pandemic has disproportionately harmed lower-income segments, thereby depleting savings, creating debt traps, and compounding wealth and income inequalities. In this context, small ticket liquidity is a burning need for these populations and is unfortunately priced very high. With constrained access to affordable credit, most of our users are comfortable giving informed consent to lenders to gain specific access to their financial or personal data, if it can help them in this regard. We collect user-permissions work and payout data from associated partners, as well as mobile, generated behavioral data types ranging from app usage, device information, call records, location, and movements, and non-personal transactional messages. This helps in establishing and building a credit history from scratch for the new-to-credit or credit invisible population. It is now documented that alternative data obtained from mobile phones can be transformed into 1400+ features that, with high levels of efficiency, can predict useful individual and group level characteristics, a user’s personality traits, conversion propensity in marketing campaigns, and socio-economic conditions, including health, education, and standard of living.  

6. How do you see the company and the industry in the future ahead?

At a company level, we see an evolving Karmascore that improves prediction efficiency as we validate it across an expanding user base. This will improve our risk outcomes and allow us to make bigger bets. One way to think of it is an ability to underwrite larger tickets and longer-duration loans that meet the segment’s deeper needs (e.g., investing in a skilling program, or financing a new vehicle). We will also build a full financial stack to support non-credit financial solutions like savings, insurance, and pension, and evolve towards a neo-banking solution for this specific-needs segment that we understand well. At the industry level, currently prevailing different models will consolidate into 1-2 winning models to provide sustainable finance to nonsalaried workers, which comprise 85% of the country’s workforce. We bet that this will only be achieved sustainably with alternate data that leverages both trends of increased smartphone penetration and digitization of workflows.  

7. How does your company strategy facilitate the transformation of an enterprise?

Exclusive Interview With Rohit Sadhu, Co

Fueled by FinTech investments and InsurTech startups, insurance has become a hotbed of digital innovation. In response, insurers must embrace change and rethink business models to move towards a compliant, secure, and digitally-enabled operating model to enhance customer, employee, partner, and other stakeholder experiences.

1. Kindly brief us about the company, its specialization, and the services that your company offers. 2. With what mission and objectives, the company was set up? In short, tell us about your journey since the inception of the company?

At its core, the idea was to simplify the entire journey that goes into buying an Insurance product – predominantly due to its overwhelmingly manual workflow. It has been a great learning experience for us – in fact, more of a humbling one. Coming from the tech industry, the idea was to leverage the new-age technology pieces to create a unified platform that completely changes how insurance gets sold in India. As is the case with most of the tech-enabled start-ups, we had our share of challenges, specially when you the realize the extent of legacy systems that have traditionally made selling insurance so difficult in India. At the same time, it kind of acted as a proof point to the opportunity that we so strongly believed in. With most of the heavy lifting done, in terms of the platform readiness & market acceptance, the plan is to drive growth on the partner acquisition & enablement side of things.  

3. What are the key trends driving the growth of the Insuretech sector using AI/Machine Learning?

We are heavily invested in AI/ML and we strongly believe they are going to redefine every aspect of the Insurance industry. Some of the key trends that we believe will drive the future growth are:

Shift to a platform economy – boosts the distribution and lowers cost, which will ultimately lift up the penetration of Insurance in India.

Automation in internal work flows and especially around claims & policy management – will boost Customer experience & operational efficiency

Product/underwriting innovation with a much more personalized offering – will boost the product fit & product width and open up new revenue streams.

Accurate risk assessment & fraud detection – bring in much more predictability

4. Please brief us about the products/services/solutions you provide to your customers and how do they get value out of it

We provide a tech platform that enables Intermediaries/distributors to sell insurance in a completely digital environment across the industry. Being an AI/ML-based platform, it comes with all the requisite functions that allows intermediaries to drive better business outcomes. Our platform provides a full 360-degree view of the business to our partners and they can leverage the same to pull up on all business metrics – be it end customer experience,  operational ease, business agility, and sales enablement & reach. We have witnessed tremendous success with our partners on most of the above business parameters.  

5. What are your growth plans for the next 12 months?

The plan is to be the technology platform of choice for the distribution of insurance in India. We already have 34 Insurance providers integrated onto our platform and we intend to have all the major providers integrated in the next 12 months. Similarly, on the distribution side, we plan to widen our footprint by at least -3x. This will consolidate our existing leadership position and drive us to deploy more meaningful use cases for the clients.  

6. How is your company helping customers deliver relevant business outcomes through adoption of the company’s technology innovations? 

Ensuredit has enabled its partners to bring in a paradigm shift to how they do their business. Our platform has helped them to achieve higher scores on most of the business parameters/metrics, to name a few…

Smooth & seamless sales process across different insurance product categories, which in turn is helping them drive more sales.

Enhanced product portfolio on account of backend API integration with major insurance providers.

Superior Customer Experience, which has helped to reduce the loss of revenue from policy renewals.

Operational ease & efficiency, which has contributed in a big way to reducing cost points.

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