Thank you, Ajit and Neerav, and good afternoon, everybody. Welcome to the call. As you know, we are Kissht, focused on digital lending. We have built a platform which allows anyone in India to come to our platform via phone and avail a loan. The entire journey , from the first tap to money reaching the account , takes about 5 to 10 minutes. Our aim here is straightforward, which is making borrowing easy and dignified for the customer while remain ing extremely diligent on risk. Speed, for us, doesn't mean haste. Our commitment to risk is uncompromising , and it shapes everything we do. The AI and machine learning models read the risk in every loan , and the collections framework built to be both firm and fair. Basically, the risk being meticulously watched, measured, and controlled. And it is this discipline which underpins our performance for this quarter. The registered users grew 33% year-on-year to 74.6 million. We have now served 12.25 million customers, an increase of 26% year-on-year. AUM stood at INR 8,001 crores, up 61% year-on- year and 13% quarter -on-quarter. Profit after tax grew to INR 95 crores, higher by 59% year - on-year and 16% quarter -on-quarter. Return on average AUM held steady at 5.05%, a reflection not only of growth, but of its quality. On the macro picture, the Indian economy remains steady , and, as you know, this steadiness is what a lender like us values the most. The Reserve Bank has held a neutral stance and left rates unchanged. For lenders, I believe predictability in the cost of funds matters more than the availability of cheap money, rather. Two developments are worth watching, though neither touches our book directly. The first is West Asia, where the risk is not geography but transmission through higher oil prices, the cost of shipping, and, over time, the confidence of the customer. The second is the Reserve Bank's push on FCNR(B) deposits, which has drawn in foreign currency and eased system liquidity. And as you know, easier liquidity tends to lower the cost of funds for lenders like us. But neither
changes our strategy, but both deserve attention because lending books are often affected first by second-order impact, rather than the first-order headlines. Beyond the ebb and flow of any single quarter, the long -term opportunity in India remains unmistakably gargantuan. A large and growing number of Indians, be it salaried and self - employed alike, with steady incomes, digitally active with a profile that can be read without any manual intervention, now want credit on their own terms, which is fast, simple, and digital. Our underwriting is shaped as much by what we see across the industry as by what we see on our own book. The bureau data for the industry now shows a clear divergence beneath a calm surface. Talking about industry, headline asset quality looks benign, yet beneath the surface, stress is building, concentrated in a few places, particularly in the small ticket loans or instances of borrowers carrying debt across several lenders at once , and households taking new lines only to service old ones. Stress of this kind doesn't show itself in the averages, rather it hides in pockets. We watch for those pockets early, and act in both directions. Just to give you an instance, last quarter, out of caution, we paused lending across roughly 450 pin codes based on what our early warning system had flagged. We have re -examined those pin codes since. The signals have turned modestly positive , and we have reopened approximately 40% of these pin codes already. Let me tell you, this is cautious optimism, not a change of stance. As we said last quarter, we would rather carry prudence slightly early than discover optimism slightly late. We are also watching the early signs that AI is reshaping certain salaried profiles. We have already, adequately altered our underwriting , to give more weight to the durability and sustainability of income, and not merely the quantum. The bureau data tells a two -sided story, while our craft lies in telling the two sides apart. For the industry, the quality of new customers has softened even as headline delinquencies in personal loans have improved - both are true at once. Our recent vintages are performing materially better than a year ago. Let me reiterate, our recent vintages are performing materially better than a year ago and in lending, as you may know, a loan's early behavior is a dependable guide to its eventual loss. We'll keep reading the first signs of stress and acting before they surface in the numbers. Talking about key financial and operational numbers, AUM stood at, as I mentioned, INR 8,001 crores, up 61% year-on-year and 13% quarter-on-quarter. Disbursement for the quarter were INR 3,812 crore s, up 37% year -on-year. As our repeat customers, who are decisively high quality, move to longer tenures, disbursement growth will be slower than the AUM growth. But for us, the AUM, the true measure of the value we are building, continues to grow at a strong pace. Total income was INR 677 crore s, up 45% year -on-year. As a share of average AUM, total income fell 249 basis points over the quarter. This drop is very deliberate and is part of a
conscious and concerted strategy from our part. We have mentioned this last quarter, we are mentioning this now, we are steadily acquiring higher proportion of high -quality customers, who are priced lower precisely because they carry less risk. Also, a rising share of off -book lending, which has gone up from 49.7% to 53.6%, adds to the reduction in revenue margin. Pre-provisioning operating profit was INR 256 crores, which is up 42% year-on-year. Profit after tax was INR 95 crores, which is up 59% year -on-year and 16% quarter-on-quarter. Return on average AUM was 5.05% and return on average equity at 21.20%. Talking about asset quality, portfolio quality stayed disciplined through the quarter , with our asset quality metrics moving within the range we had expected. Credit cost was 6.80% of average AUM, down from 7.02% in Q4 FY26 and 8.85% in Q1 FY26. This is, we believe, this is a significant improvement. This is further testament of our strateg y of targeting high -quality customers as we grow larger. The risk metrics have been range -bound. Stage 2 stood at 3.15%. Stage 2 has improved from 3.9% to 3.15% year-on-year. The increase compared with last quarter is very seasonal in nature, something that we have seen almost every Q1 of the year. Gross NPA at 2.25%, very range bound. Net NPA at 0.36% and collection efficiency at 96.82%, which shows our resilience to risk management. We firmly hold to our guidance which we gave last quarter, which is 15% reduction in credit cost , and we are tracking well on that. Provisioning stays deliberately conservative, with Stage-3 ECL coverage at 84.1% and Stage-2 coverage at 80.4%. This is among the highest in the industry. Talking about balance sheet, it strengthened considerably this quarter on the back of the IPO. Capital adequacy in our NBFC subsidiary rose to 40.2% from 25.3% last quarter. Net worth grew to INR 2,245 crore s, nearly four times its level in March 2023, built on retained earnings, organic profitability, and the IPO completed in May 2026. Funding remains balanced. On-book AUM of INR 3,716 crores and off-book AUM of INR 4,284 crores, a 46 :54 split, supported by more than 45 lending partners. We are widening our product range to meet more of what our customers need and to deepen the relationship with those we already serve. LAP business which we started two years back, the AUM stands at INR 617 crores across 101 branches in eight states, about 7.7% of the total AUM. I should say we are not building a standard , garden-variety LAP, but something that is hugely technology-enabled. For instance, it comprises of model -based underwriting, branch - led fulfilment, smart document processing, and AI-validated property valuation. The prudence with which we are building LAP, we feel very confident that risk will hold up well over time and not just today. Separately, we have begun to build capabilities in mutual fund distribution. The rationale for this, is a large proportion of our customers have invested in SIPs and mutual funds over time. An offering like this will help serve them well and enhance our fee income. Our subsidiary has secured an AMFI registration already.
Talking about technology and AI initiatives, I should say at Kissht, technology is not a department in the company, rather it is the company. We are a technology company that lends, not a lender that has bolted technology on the side and that distinction has only sharpened as we have grown. Our underwriting and collections are built and run entirely in -house. The underwriting stack reads more than 7,200 signals on each borrower. This includes bureau data, banking flows, device intelligence, transactions, and alternative data, for example. And the models behind it have travelled a long way, I would say, from simple decision trees when we started to gradient boosting to today's transformer-based systems. When I say transformer, the transformer is T of, you know, the GPT that you see in AI. Now at an AUC (Area Under the Curve) of 74%, up from 66% in 2023, and separating good customers from bad customers about 2.5 times better than a bureau score alone. The objective here has been simple and steadfast, which is to identify behavioural deterioration before it becomes delinquency. Behind the statistical models stands the human -half of the same effort. We have more than 7,000 field agents and over 1,000 tele -callers with more than 95% of collections handled in - house. This is an architecture that held firm through Q1 FY27. Collections and fraud are where our AI is most visibly at work. In early bucket tele -collection, our voice agents now recover at more than 80% of human efficiency, up from the 70% we reported earlier. Our feature store watches over 7,200 signals for drift and our multi -agent fraud system runs more than 50 separate checks, including deep fakes, forged documents, anomaly detection, network fraud, and many more. We would like to believe, we have been pioneers in this space. Many of these numbers have held steady since FY26 and that steadiness is deliberate. It tells us the infrastructure is comfortably keeping pace with the growth built on top of it. The same holds in our support and engineering team. AI-assisted support covers 100% of calls for quality and has cut response time to under 90 seconds, and more than 80% of our own code is now written with AI. I should say, spent well, technology investments have not made lending less about judgment, but rather it has made good judgment more scalable. On the guidance for future, we remain firmly on track for the FY27 guidance we set out on different parameters, be it AUM, Gross NPA, credit cost, and profitability including ROE and ROA. I reiterate, we remain firmly on track. As closing remarks, I should say, you know, the market keeps time in quarters, we keep it in decades. In our first year as a public company, our attention is on things that last and that is robust governance, straighter disclosure, and the patient work of building an institution meant to endure. We ask to be understood over the long run, because that is the only span on which this kind of institution can be fairly judged. We are building for something larger , and with due patience for India, and for the long climb of its formal credit market , with its millions of creditworthy customers who want credit that is fast, simple, and digital. With that, my thanks to our
shareholders, our partners, and everyone who has backed us. We are happy to take questions from the floor. Thank you.