HCL Technologies rises on collaborating with Circles and GreySkies in TM Forum Catalyst Program
HCL Technologies is currently trading at Rs. 1114.30, up by 4.40 points or 0.40% from its previous closing of Rs. 1109.90 on the BSE.
The scrip opened at Rs. 1100.00 and has touched a high and low of Rs. 1117.15 and Rs. 1093.20 respectively. So far 156763 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 2 has touched a 52 week high of Rs. 1770.00 on 03-Feb-2026 and a 52 week low of Rs. 1090.00 on 11-Jun-2026.
Last one week high and low of the scrip stood at Rs. 1,168.95 and Rs. 1091.90 respectively. The current market cap of the company is Rs. 302356.56 crore.
The promoters holding in the company stood at 60.86%, while Institutions and Non-Institutions held 34.49% and 4.65% respectively.
HCL Technologies (HCLTech), Circles and GreySkies have participated in the TM Forum Catalyst Program, a collaborative innovation initiative that brings together Communication Service Providers (CSPs) and technology partners to co-create and showcase next-generation solutions for the telecommunications industry.
As part of this program, HCLTech, Circles and Greyskies are collaborating with leading telecom operators such as Circles.Life, KDDI, Orange and TELUS to jointly develop a new AI-powered multiagent framework to unify customer experience, network operations and business processes into an intelligent, real-time operational ecosystem. The new solution is designed to accelerate end-to-end automation, enhance service assurance and improve customer engagement while unlocking new monetization opportunities through AI-driven insights.
The initiative combines Circles’ AI-native digital telco platform and customer engagement capabilities with GreySkies’ AI-enabled network operations and HCLTech’s AI-led automation, integrated through TM Forum Open APIs within an Open Digital Architecture (ODA) framework. Together, it enables telecom service providers to analyze customer and network signals in real time, anticipate issues and drive autonomous decision-making across the enterprise. By integrating advanced AI capabilities with open, standards-based architectures, the solution supports the transition to self-optimizing networks that are more responsive to changing customer needs and operational complexities. The approach is intended to improve operational efficiency, accelerate insight-to-action and enhance customer lifetime value.
