On 30 January, Tata Communications Limited unveiled what it calls the missing link in enterprise AI: infrastructure built not just to connect systems, but to run intelligence at scale. The launch of its AI-ready suite of platforms marks a defining shift for the company – from being the invisible backbone of global connectivity to becoming a provider of intelligent digital fabric for the AI era.
For much of its history, Tata Communications powered undersea cables, global voice networks and enterprise connectivity across continents. Today, as artificial intelligence moves from experimentation to execution, that role is evolving. Enterprises are deploying AI across multiple clouds, edge locations and geographies, often stitched together through fragmented point solutions. The result has been rising costs, performance bottlenecks, governance gaps and growing security risks.
According to TCL, the biggest barrier to scaling AI is not algorithms or models, but the fragile digital foundation beneath them. “AI is amplifying the complexity enterprises already face,” said A.S. Lakshminarayanan. “What organisations need is an end-to-end foundation that is secure, unified and intelligent by design.”
At the connectivity layer sits the IZO+ Multi-Cloud Network, built not as traditional cloud plumbing but as an AI-aware network fabric. As AI workloads scale, massive data movement between GPU clusters, cloud regions and edge locations becomes a strategic challenge. IZO+ enables enterprises to manage connectivity across hyperscalers, edge, on-prem and GPU clouds through a single control plane, optimising cost, latency and data sovereignty.
Real time AI use
The Edge Distribution Platform moves intelligence closer to where data is generated. Designed for real-time AI use cases such as customer engagement, media delivery and operational analytics, it integrates content delivery, edge compute, DDoS mitigation and application security into a single managed service. Unlike traditional CDNs, it is built around predictable pricing, regulatory compliance and enterprise-grade resilience.
Completing the stack is ThreadSpan, an AI-powered observability and orchestration layer that provides a unified view across networks, cloud and security environments. As hybrid operations become too complex for manual management, ThreadSpan enables predictive monitoring, automated remediation and policy-driven operations – shifting enterprises from reactive troubleshooting to self-healing digital systems. Together, the platforms form a cohesive architecture reflecting Tata Communications’ broader strategy: transforming connectivity into intelligent infrastructure.
This shift has been years in the making. TCL has steadily realigned its business away from legacy voice and bandwidth toward data-led digital services – and the results are increasingly visible. In Q3 FY26, the company reported 9.3 per cent year-on-year growth in data revenues, while its digital portfolio expanded 15 per cent. EBITDA margins stood at nearly 20 per cent, and profit after tax jumped to R365 crore.
Beyond core infrastructure, Tata Communications is also embedding AI directly into enterprise engagement. In October 2025, it launched a Voice AI platform – a speech-to-speech, agentic AI solution designed to power intelligent customer journeys across industries. Supporting over 40 languages with sub-500 millisecond latency, the platform integrates deeply with enterprise systems to deliver contextual, outcome-driven interactions far beyond traditional IVR and chatbots.
This push into AI-powered customer experience has been strengthened through a strategic partnership with NICE Ltd, combining Tata Communications Kaleyra’s engagement platforms with NICE’s CXone Mpower suite. Together, the companies aim to transform contact centres into proactive, AI-driven growth engines.
The versatility of TCL’s digital fabric is also evident in non-enterprise deployments. A notable example is its partnership with Real Madrid CF to bring the Madridista Premium loyalty programme to India, reaching over 22 million fans. The consumer-facing experience is powered by the same secure connectivity, orchestration and edge intelligence principles that underpin its enterprise AI platforms.
With growing collaborations, including deepening work with Amazon Web Services on high-performance AI connectivity architectures, TCL is quietly positioning itself as one of the companies shaping the digital fabric of the AI economy.
As AI becomes embedded in core business processes, the winners will be those who can simplify complexity without compromising trust, performance or control. Tata Communications is making a confident bet that intelligent infrastructure – not just faster networks – will power the next wave of enterprise transformation.