India’s technology sector is undergoing a radical upgrade, with major global systems integrators adopting AI-driven automation to overhaul back-office operations and customer-facing services. By integrating NVIDIA’s AI Enterprise suite—including Nemotron models, NIM microservices, and BioNeMo—companies like Infosys, Persistent, Tech Mahindra, and Wipro are deploying autonomous agents that handle complex tasks, from health insurance enrollment to molecular drug discovery.
The shift marks a departure from traditional seasonal hiring models in call centers and manual network troubleshooting, instead favoring AI systems that operate 24/7 with near-instant decision-making. These advancements align with India’s ambitious growth targets: the industry is projected to surge from $250 billion in 2023 to $500 billion by 2030, fueled in part by AI adoption.
At the forefront is Wipro’s WEGA platform, which uses NVIDIA AI Enterprise to automate health insurance support. For a major U.S. provider, the system now handles 42% of inbound calls with sub-200-millisecond latency, enabling real-time assistance for 900 concurrent calls and 164 requests per second. Human agents receive AI-driven prompts, while automated workflows digitize paperwork and surface personalized data—reducing administrative burdens in regulated environments.
Beyond healthcare, Wipro’s model is being adapted for financial services, where accuracy and compliance are critical. Meanwhile, Tech Mahindra is applying AI to telecom networks, using a large telco model (LTM) to prioritize repairs based on historical success rates. Deployed for a global carrier, the system aims to cut escalations and improve first-visit fixes, aligning with the telecom industry’s $1.5 trillion annual revenue potential.
Infosys has taken a different approach by developing a lightweight, 2.5-billion-parameter coding model within its Topaz Fabric platform. Trained on curated code, synthetic data, and mathematical reasoning, the model delivers frontier-level performance for tasks like code generation and debugging—while remaining deployable on-premises, in the cloud, or even on standard desktops. Safety and trust are baked in through aligned training and industry benchmarks, ensuring enterprise-grade reliability.
Persistent Systems is pushing boundaries in drug discovery with GenMoIVS, a solution built on NVIDIA BioNeMo and the NeMo Agent Toolkit. The platform simulates molecular behavior virtually, accelerating early-stage compound screening before lab work begins. By automating screening, prioritization, and experimental planning, it reduces risks and costs in pharmaceutical research—offering a faster path to viable candidates.
What ties these innovations together is NVIDIA’s full-stack AI infrastructure. From scalable microservices (NIM) to domain-specific models (Nemotron, BioNeMo), the tools enable enterprises to deploy autonomous agents that adapt to real-world constraints—whether in healthcare, finance, telecom, or life sciences. The result is a blueprint for how AI can redefine productivity, not just in India but globally.
