Author name: Nikhil Tiwari

Customer expectations in 2025 have shifted beyond traditional support models. Customers demand instant, always-on assistance, but scaling human agents alone […]

Businesses today are rethinking how voice communication scales. Customers expect instant, natural conversations, but traditional call centres remain costly and

The customer support is changing rapidly as businesses seek solutions that go beyond the limitations of traditional call centres. Customers

Customer communication is at the heart of every business, but traditional call centres have turned into a costly bottleneck. Companies

Customer conversations are evolving beyond scripted chatbots and static IVR menus. Businesses now need scalable voice solutions that sound natural,

The growing power of open-source Large Language Models like InternLM makes it possible for anyone to build advanced AI applications.

Customer support automation has evolved from rigid IVRs to LLM-powered agents capable of understanding nuance and remembering context. Yet, bringing

Voice automation is entering a new era where bots can go beyond conversation to execute complex, multi-step tasks. Models like

Open-source breakthroughs like Meta’s Llama 2 are reshaping customer support AI, allowing businesses of any size to create tailored, context-aware

Meta’s Llama 3 delivers state-of-the-art reasoning and conversational ability, unlocking the potential for hyper-intelligent voice automation. But creating a phone-ready