Net profit of Persistent Systems rose 25.37% to Rs 315.32 crore in the quarter ended March 2024 as against Rs 251.51 crore during the previous quarter ended March 2023. Sales rose 14.91% to Rs 2590.53 crore in the quarter ended March 2024 as against Rs 2254.47 crore during the previous quarter ended March 2023.For the full year,net profit rose 18.72% to Rs 1093.49 crore in the year ended March 2024 as against Rs 921.09 crore during the previous year ended March 2023. Sales rose 17.62% to Rs 9821.59 crore in the year ended March 2024 as against Rs 8350.59 crore during the previous year ended March 2023. ParticularsQuarter EndedYear Ended�Mar. 2024Mar. 2023% Var.Mar. 2024Mar. 2023% Var. Sales2590.532254.47 15 9821.598350.59 18 OPM %17.5418.47 -17.0618.19 - PBDT475.41410.31 16 1756.981542.41 14 PBT395.49340.59 16 1447.611270.51 14 NP315.32251.51 25 1093.49921.09 19 Powered by Capital Market - Live News

Persistent Systems announced that the Board of Directors of the Company at its meeting held on 21 April 2024, inter alia, have recommended the final dividend of Rs 10 per equity Share (i.e. 200%) , subject to the approval of the shareholders.Powered by Capital Market - Live News

Persistent Systems has revised the meeting of the Board of Directors which was scheduled to be held on 22 April 2024. The meeting will now be held on 21 April 2024.Powered by Capital Market - Live News

Persistent Systems will hold a meeting of the Board of Directors of the Company on 22 April 2024.Powered by Capital Market - Live News

Persistent Systems announced the launch of SASVA, a pioneering manageable and secure enterprise AI platform leveraging Large Language Models (LLMs) and Machine Learning (ML) to accelerate software releases, with faster time-to-market, and improved efficiency. SASVA is derived from the Sanskrit word Shashvatah, meaning timelessness, ensuring continual improvement across the ever-changing software landscape. SASVA will be embedded into software engineering to efficiently address distinct use cases by preventing technical debt in new development, minimizing accumulated technical debt in mid- to late-stage software, and addressing complex scenarios in software sustenance and specialized industries with enterprise scale.Traditional software engineering methods rely heavily on time-consuming manual tasks, often leading to technical debt due to dependencies on individual expertise and institutional knowledge. It is difficult to ensure efficiency, reliability, and scalability across the software development life cycle; these challenges are compounded later in the software life cycle when budget and resource limitations also come into play. Despite the advancements in Generative AI-powered platforms, there is a decline in productivity when managing complex projects that entail interdependencies among applications, a common scenario in complex solutions.SASVA adopts a distinctive method by constructing a comprehensive knowledge base from vast datasets, including millions of code repositories and documents. Hybrid language models enable efficient utilization, with continual secure training on customer data sourced from various platforms like version control, ticketing systems, project management tools, and collaboration platforms. This rigorous process enhances privacy, security, and regulatory compliance, especially for sensitive data. SASVA streamlines the creation of project plans and generates contextual code modifications for seamless review. In initial engagements, SASVA has reduced release times by an impressive 25% to 35% with improved quality and reduction in technical debt. SASVA enables clients across industries to boost enterprise productivity across different software phases delivering cost and time efficiency with improved quality.Powered by Capital Market - Live News