© 2026 NervNow™. All rights reserved.
How Do Indian CXOs Actually Build a Culture Around AI?
AI has been inside Indian businesses for years. What changed is the pressure to scale it, show returns, and bring entire organizations along.
How ClimateAi is Giving Food Companies a Six-Month Head Start on Climate Disruption
ClimateAi uses machine learning on satellite, oceanic, and atmospheric data to help food and agribusiness companies see crop yield disruptions coming months before they happen. Its customers include Dole, Driscoll's, Suntory, and Oatly. Almost no one outside the industry has heard of it.
Europe Lost AI, Quantum is Next Unless We Act Now: Aneli Capital’s Daiva Rakauskaitė
With a Quantum Act expected in Brussels this quarter and only 5% of global private quantum capital flowing into European companies, investors are warning the bloc must move faster, on regulation, commercialization, and private funding, before the US and China pull too far ahead.
India’s AI Problem is Product Thinking: Hoonartek’s CEO Peeyoosh Pandey
In a conversation with NervNow, Peeyoosh Pandey, CEO of Hoonartek, argues that the race to deploy AI models is the wrong race.
Are Indian Enterprises Paying Full Price for a Half-Built AI Product?
Global AI product is marketed as multilingual. The research, the regulatory landscape, and the economics of how these models are built tell a more complicated story for Indian deployments.
Top 20 AI Companies in India to Watch in 2026
From sovereign foundation models and GPU clouds to medical imaging and quantum computing, a field-by-field look at the top 20 Indian AI companies in India with the funding, traction, and technical depth to matter beyond this year.
How to Evaluate AI Vendor Claims: A Technical Guide for CTOs and AI Leaders
What an AI vendor mean when he say hallucination-free, enterprise-grade, and 95% accurate. How to evaluate AI vendor claims: A technical guide for CTOs and AI leaders
Why Every AI Chatbot Seems to Give the Same Advice? The Artificial Hivemind Effect, Explained
When different AI models, trained by different companies, keep giving you the same answer, that is not a coincidence. In this piece, Chetanya Puri, Senior Machine Learning Engineer at CluePoints, explains why researchers now have a name for it, a dataset to measure it, and evidence that the problem runs deeper than anyone's system prompt.
Prompts, RAG, or Fine-Tuning? The AI Stack Decision Most Teams Get Wrong
ksheshkumar Ajaykumar Shah, Founder & CEO, Cogniify.ai, writes on why most enterprise AI teams choose wrong between fine-tuning, prompt engineering, and RAG, and how understanding the right architecture for each can turn AI from an expensive experiment into a scalable business tool.
Women Must Understand How AI is Sold, Procured, and Regulated: Chaitra Vedullapalli, Women In Cloud
On International Women's Day 2026, as AI reshapes every layer of the economy, NervNow sat down with Chaitra Vedullapalli to find out what the AI economy gets wrong, and who pays for it.
