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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.

In a conversation with NervNow, Peeyoosh Pandey, CEO of Hoonartek, argues that the race to deploy AI models is the wrong race.

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.

Surf AI announced its public launch alongside $57 million in funding led by Accel, aimed at helping enterprises operationalize automated security workflows.

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.

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

Speaking to NervNow, Rishi Verma, Head of Artificial Intelligence at FSS's Center of Excellence, on how to make payment infrastructure intelligent, accountable, and self-regulating at scale.

D-Mart’s operational discipline has kept it ahead of better-funded competitors for years. Its deliberately low-tech approach, once a strategic asset, is becoming a structural question mark as Reliance and Tata build cross-category AI and quick commerce rewrites the expectations of India’s urban consumer.

OpenAI has announced the acquisition of Promptfoo, an AI security platform that helps enterprises identify and fix vulnerabilities in AI systems before they reach production.

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.

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.