LTM surges on launching AI-native managed services model BlueVerse for iRun
LTM is currently trading at Rs. 3942.50, up by 102.50 points or 2.67% from its previous closing of Rs. 3840.00 on the BSE.
The scrip opened at Rs. 3900.00 and has touched a high and low of Rs. 3959.00 and Rs. 3882.60 respectively. So far 4250 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 1 has touched a 52 week high of Rs. 6430.00 on 19-Jan-2026 and a 52 week low of Rs. 3805.60 on 12-Jun-2026.
Last one week high and low of the scrip stood at Rs. 4037.45 and Rs. 3805.60 respectively. The current market cap of the company is Rs. 116851.00 crore.
The promoters holding in the company stood at 68.52%, while Institutions and Non-Institutions held 23.64% and 7.84% respectively.
LTM has launched 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 preemptive, 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.
