Thanks, Saurabh. Good morning, good evening to everyone on this call. I hope all of you are doing well. Let me now start with a quick financial summary. For Q1 FY 2026, we delivered a revenue of US $389.7 million, a healthy growth of 3.9% quarter-on-quarter and 18.8% year-on-year. - In rupee terms, growth for the quarter came in at 2.8% quarter-on- quarter and 21.8% year-on-year. - In constant currency terms, this translates into 3.3% quarter-on- quarter. - This marks our 21st sequential quarter of growth. The EBIT margin for the quarter came in at 15.5%. This translates into an EBIT growth of 2.5% quarter on quarter and 34.8% year on year in absolute terms despite unfavorable currency movement this quarter. Profit after tax for the quarter came in at 12.7%, a growth of 7.4% quarter on quarter and 38.7% year on year in absolute terms. Vinit will provide a detailed color on the financials and margin movement later in this call. Coming to the order book for the quarter - The Total Contract Value (TCV) for the quarter stood at USD 520.8 million, with TCV of new bookings coming in at USD 337.0 million. - Annual contract value of this TCV is USD 385.3 million, out of which the ACV from new bookings contributed US $211.8 million. As highlighted in earlier calls, our revenue conversion on a quarterly basis is a function of ACV bookings done in previous quarters, as well as the conversion from multi-year deals booked in previous years, which are included in our TCV bookings that we announce on a quarterly basis. Now let me give you some color on our client movement across various reported categories. This quarter, we witnessed healthy year-on-year growth in US dollar terms among our various client buckets, with - the top 5 customers' revenue growing by 22.8%, - top 10 by 20.2%, - top 20 by 23.1%, - top 50 by 22.7%, and - top 100 by 22.4%. As you would notice, there is a secular increase in revenue across all categories in our top 100 accounts. Coming to the year-on-year movement of customers across various reported buckets in trailing 12 months revenue terms. - Customers with greater than 75 million revenue increased from 3 to 4 on a year-on-year basis. - Customers with 50 million plus remained at 4. - Customers in the 20 million plus category increased from 10 to 12. - In the 10 million plus category increased from 19 to 22. - Customers in 5 million plus category saw a significant increase from 41 to 56 over the last one year. - Customers in 1 million plus category increased from 178 to 190. The healthy growth in various client categories is reflective of the trust our clients put in us and our ability to build stronger scalable relationships with them over a period of time. Coming to the performance across geographies. In terms of year-on-year growth this quarter in USD terms, - North America grew by 17.4%, - Europe by 37.5%, - India by 18.3%, - Rest of the world declined by 1.7%. Now let me give you this quarter's performance from an industry segment perspective. - This quarter's growth was led by BFSI vertical followed by software high-tech and emerging industries and healthcare life sciences, which grew 30.7%, 14.1% and 12.4% respectively on a year-on-year basis. - You would have noticed that our healthcare life sciences vertical declined by 2.1% quarter-on-quarter for Q1. This decline was majorly on account of revenue impact due to the planned transition of effort from on-site to offshore in some of the larger customers. Coming to a couple of important organizational updates. - Yogesh Patgaonkar, our Chief People Officer, will retire from his role effective July 31, 2025. We extend our deep appreciation to him for his invaluable contributions in shaping and advancing our talent agenda during the pivotal phase of our scaling. - Rajiv Nathani, who joined us in February 2025, will assume the role of Chief People Officer effective August 1, 2025, as part of a planned succession. Rajiv will drive talent transformation, harnessing AI-driven intelligence and people-first practices to build a high-performance, future-ready workforce for us. - We also recently welcomed Shimona Chadha as our new Chief Marketing Officer. She will be driving our global marketing strategy, strengthening brand positioning and enabling business growth through integrated marketing initiatives. Shimona will be based out of our New Jersey office in the U.S. Coming to the celebration of our 15th anniversary As you would know, Persistent went IPO 15 years ago. Last quarter, we organized multiple customer events including one at the iconic NASDAQ Tower and another one in Silicon Valley. In continuation to these events, this quarter, we are proud to be ringing the closing bell at the National Stock Exchange tomorrow, that is July 24th. This occasion is a testament to the hard work, commitment and loyalty of our long- standing team members and we are deeply honored to share this celebration with them. Coming to the updates on our AI progress As articulated previously, Persistent is pivoting to an AI-led platform- driven strategy, structured primarily around two core areas. - The first one being AI for Technology, wherein we are focusing on enhancing engineering productivity and modernizing tech stacks to deliver faster time to market and competitive differentiation for enterprise software companies, as well as enterprise IT or technology arms. - AI for Business, focusing on enabling enterprises to become AI-ready and adopting agentic AI thereafter to reimagine business processes, customer experiences and operational workflows. Let me first give you a little bit of color on AI for Technology. - In the quarter gone by, we launched SAVA 3.0, a transformative upgrade to our generative, deterministic, AI-powered digital engineering platform, SASVA. In the new release, this streamlines the software development lifecycle, right from product definition, coding, release management and support, thereby defining and delivering significant productivity gains. - Since enterprises are able to leverage SASVA train and customize the platform for building their enterprise applications and business use cases in a seamless and secure manner. This is even more relevant to an important in the context of highly regulated industries, such as banking financial services and healthcare and life sciences. - SASVA is built using multiple custom language models and can function using a limited number of GPUs, thereby containing the cost involved in scaling enterprise adoption as compared to hosted models. - The innovations in SASVA are powered and backed by 55-plus patents across data intelligence, AI infrastructure, productivity, autonomous agents and security, up from 35 in Q4 FY25. - As a fun fact, I would like to call out that SASVA 3.0 was built leveraging SASVA itself, demonstrating its self-improving productivity promise. - We are seeing good traction with our customer base for engineering productivity across verticals, driving significant improvements in tech debt remediation and software release frequency. To give you an example of AI for tech - For a large capital markets software provider, we rebuilt their core risk management platform in less than six months using SASVA's AI-assisted assessments, planning and implementation versus traditional methods that would have taken us more than 18 months. This resulted in accelerated tech remediation on one hand and a faster go-to market, leading to revenue acceleration for our customer on the other.
Coming to AI for business
In our AI for business focus, we're working on two pivots. 1. Getting enterprises ready for product-based AI adoption and number two, developing agentic AI capabilities for specific use cases across our industry verticals. As you would know, large enterprises typically grow over a period of time with a combination of organic growth as well as acquisitions and this leads to a number of disparate systems that leverage legacy technologies and may not communicate well with each other. As a first step towards an enterprise-wide AI adoption, we've been working with a multitude of Fortune 1000 customers on modernizing their data architecture as well as building custom platforms to address their business needs, leveraging platforms and technologies from our hyperscaler partners as well as other technology companies such as Databricks and Snowflake in addition to our own IPs. To give you an example of some of these industry-specific agentic solutions, looking at the financial services segment, we have built an underwriter agent based on Salesforce Agentforce platform for loan origination. This agent automates first stage of document verification and leverages a reasoning engine to process the documentation to take decisions autonomously and fast-tracks the loan document verification as well as significantly enhancing human underwriters work efficiency. Similarly, in the healthcare life sciences space, we have leveraged the Google agentic platforms for building an agent that we're calling SciMitra Agent. This agent accelerates scientific discovery in complementing our Pi-OmniKG, which is a knowledge graph-based solution. Enabling our foray into AI for tech and AI for business are our investments in building capabilities around a Digital Trust Layer in all our platforms encompassing the tenets of Responsible AI, security, and governance. Our acquisition of Arrka last year has strengthened this capability and is tightly integrated across all our platforms around SASVA, iAURA, and GenAI Hub. With this, in summary, we are happy with the progress that we are making in our AI journey and we will continue to build on the momentum that we've already established. Let me now invite Vinit to share with you the financial details for the quarter. Vinit, over to you.