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How Wispr Flow Won the Most Crowded Corner of AI and a $2 Billion Valuation

What Wispr Flow got right sits one layer above it, in whether you trust the text enough to send it without looking.

What Wispr Flow got right sits one layer above it, in whether you trust the text enough to send it without looking.

Intrasense and Guerbet have secured PMDA certification in Japan for DUOnco™ Pancreas, an AI-powered software designed to support pancreatic CT scan analysis.

How a city-state with no frontier model built Asia's most mature AI ecosystem, and won the first regional labs of OpenAI, Google DeepMind and Nvidia.

Khaitan & Co built its own AI well before the law settled what it means for privilege, precedent, or liability. Madhav Khosla, a partner who litigates technology disputes, argues the gap is real but smaller than it looks, because the duties lawyers already owe still apply.

Khaitan & Co built its own AI, a secure in-house platform called KAI 2.0, and set about teaching its lawyers to use it. COO Dr. Vimal Choudhary explains what that took, and what it changes.

India trains more world-class AI talent than almost anywhere, and loses more of it than any other major country. This is an examination of why its best researchers and founders build overseas, the four structural forces behind the exodus, and the early signs that the tide may finally be turning.

When enterprise AI agents fail, the model usually reasoned fine. The trouble is what it was handed to read. Arun Subramaniyan argues the answer is not another data lake, but a layer that reads the business where it already lives.

NervNow spoke with Anubhav Mehtrotra, VP, CX, Tata 1mg, about how AI should behave in that context, what genuine digital empathy actually looks like in practice, and why the hardest part of the work has very little to do with the technology itself.

AI is now making the kind of decisions that move money, change careers, and touch human lives. Five technology and business leaders sat down with NervNow to describe how responsibility is actually being assigned inside their organizations.

For two decades, enterprise automation moved deeper into code and configuration that only technical teams could read. In the AI era, that abstraction is becoming a liability. In this op-ed, Krupesh Bhat argues that the organizations which stay governable will be the ones that can see how their own systems behave.