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Tech Mahindra partners with NVIDIA on telco reasoning agent

Source Decision Insights Record Published March 3, 2026 Companies 1
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59th article in the last 90 days, one of 393 articles referencing Nvidia. Previous coverage: NVIDIA invests $2 billion in Lumentum (Mar 2026).

Companies mentioned

Best suited for

Seniority
C Level / Executive Team
Job function
Chief Technology Officer
Persona
Network Operations Leader
Buyer role
Decision Maker / Budget Holder
Decision stage
Which to buy
Adoption curve
Early Adopters
Industry
Telecommunication Services / Diversified Telecommunication Services / Integrated Telecommunication Services

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Tech Mahindra and NVIDIA announced a collaboration to deliver an AI-powered Telco Network Operations Reasoning Agent intended to help Communication Service Providers accelerate progress toward Level 4+ (L4+) autonomous networks and convert traditional Network Operations Centers into closed-loop operations.

The announcement said the solution was delivered through Tech Mahindra's Orion platform and combined Artificial Intelligence (AI) engineering, domain expertise, and Human-in-the-Loop (HITL) design to support safe operationalization of AI while avoiding use of customer or Personally Identifiable Information (PII) and maintaining data privacy and governance.

The reasoning agent supported autonomous alarm validation, Root Cause Analysis (RCA), and automated resolution across Operations Support Systems and Business Support Systems, and it was extensible so operators could build domain-specific agents that integrated with existing data lakes, tools, and workflows. Tech Mahindra customized a reasoning model with synthetic and anonymized data using NVIDIA NeMo and deployed it as an NVIDIA NIM inference microservice, and the model provided 2-3x improvement in accuracy compared with a non-fine tuned model.

The collaboration described the transition to autonomous networks as iterative and ecosystem-driven and presented modular architecture and reusable pipelines as mechanisms to adopt AI reasoning incrementally and scale it across operations.

Amol Phadke, Chief Transformation Officer, Tech Mahindra, said, “Network operations centers still rely on rule-based, open-loop workflows with significant manual intervention. Engineers continue to spend considerable time correlating alarms, logs, and performance data across systems, impacting resolution times and operational efficiency. Our collaboration with NVIDIA addresses this challenge by embedding AI-driven reasoning into the core of network operations. By enabling intelligent, closed-loop execution, we are helping Communication Service Providers (CSPs) move decisively toward simplified operations aligned with L4+ autonomous network ambitions.”

Chris Penrose, Vice President, Global Business Development 6 Telecom, NVIDIA, said, “Network operations demand rapid decision-making across complex, real-time environments. By combining NVIDIA's AI software stack with Tech Mahindra's deep telecom expertise, this collaboration enables CSPs to deploy reasoning-based AI systems that can act, adapt, and learn within live NOC environments. Together, we are laying the groundwork for a new era of autonomous, resilient, and intelligent networks.” They said the transition was iterative and that modular architecture and reusable pipelines enabled incremental AI reasoning adoption.

Press release, provided by Cision on behalf of Tech Mahindra. Read the original.

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