News

LTM has received affirmation in credit ratings from CRISIL at CRISIL AAA; Stable/ CRISIL A1+ for bank facilities of Rs 2,025.5 crore.

LTM will hold a meeting of the Board of Directors of the Company on 11 July 2026.

LTM has joined Athena, a new industry coalition led by Chainguard, focused on protecting open source software from the rising threat of AI-driven vulnerabilities. Athena brings together leading organizations across the global software ecosystem to address an urgent challenge. As frontier AI models advance, they are increasingly capable of identifying novel vulnerabilities in open source software at machine speed, often faster than traditional disclosure and patching processes can respond. As AI accelerates both software development and the discovery of vulnerabilities, the window between a flaw being identified and being exploited has narrowed sharply. Athena is designed to close this gap through shared intelligence, coordinated action, and pre-disclosure remediation across the ecosystem. The coalition supports vulnerability management end to end, from discovery and analysis to patching, layered mitigations, and upstream fixes. By enabling collaboration across the ecosystem, Athena helps improve the resilience of open source projects that organizations around the world depend on every day. LTM`s participation in Athena reflects its continued commitment to strengthening cybersecurity, enhancing software supply chain resilience, and contributing to industry-wide efforts that build trust in the digital ecosystem. As a global technology services partner to enterprise clients across industries, LTM brings deep engineering expertise and large scale delivery experience to the coalition`s collaborative remediation efforts.

LTM announced the launch of BlueVerse for Databricks, a new offering that brings together LTM`s AI ecosystem, BlueVerse�, with Databricks, the Data and AI company, to accelerate AI-driven data monetization. BlueVerse for Databricks is designed to help enterprises drive tangible business outcomes from data and AI investments by addressing critical challenges in the secure and efficient management of data and compute resources, while optimizing business processes and providing pre-built industry solutions to unlock greater value from AI initiatives. LTM BlueVerse helps companies reimagine core business processes such as procure-to-pay, order-to-cash, hire-to-retire, and marketing operations as AI-optimized workflows. It also enables organizations to accelerate time-to-value through pre-built, industry-specific solutions for Manufacturing, Banking, Financial Services, Insurance, Media & Entertainment, and Retail & Consumer Goods, or through custom implementations that leverage BlueVerse domain-specific accelerators and models. BlueVerse for Databricks leverages Lakebase, Genie, and Agent Bricks to build these capabilities on Databricks, combining LTM`s industry expertise with the performance, security, and governance of the Databricks platform to support efficient, trustworthy, and scalable AI applications.

LTM announced the launch of BlueVerse� for iRun, an AI-native managed services model designed to transform traditional IT operations into a resilient, intelligent, and outcome-driven operating model. As enterprise environments grow more complex�spanning hybrid cloud, SaaS, and AI-driven ecosystems� traditional managed services models are increasingly constrained by siloed teams, static processes, and effort-led scaling. BlueVerse for iRun addresses this shift by moving beyond headcount-based delivery to a platform-led approach powered by agentic AI, knowledge convergence, and process-as-code. Built on the BlueVerse ecosystem, iRun creates a unified intelligence layer that brings together enterprise data, telemetry, workflows, and operational context�enabling AI to reason across systems, identify root causes, and execute actions within governed guardrails. iRun combines AI agents and human expertise to shift operations from reactive incident management to pre emptive, self-learning, and outcome-driven service delivery. It enables improved system reliability, faster resolution cycles, and the ability to shift IT spend from maintenance (`run`) to innovation (`change`)�freeing capacity for transformation. iRun targets 60-70% automated resolution, 40-60% faster incident closure, and prevention of up to half of potential disruptions before they occur.