© 2026 NervNow™. All rights reserved.
Egypt’s AI Pyramid: The 15 Companies at the Base

The 15 companies building Egypt's AI: the national model, Arabic LLMs, chip startups and fintech tools, and why the best keep moving to the Gulf.

The 15 companies building Egypt's AI: the national model, Arabic LLMs, chip startups and fintech tools, and why the best keep moving to the Gulf.

A study of 35 senior leaders finds the real barrier to scaling enterprise AI is leadership behavior, more than the technology. Here is where adoption stalls.

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

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.

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.

Anthropic India has appointed Sangeeta Bavi as Head of Sales, Digital Natives, Startups and Mid-Market. Bavi announced the move on LinkedIn, and Irina Ghose, Managing Director of Anthropic India, confirmed it publicly on the platform.

A CXO framework for deciding whether to build or buy your AI eval stack, with a current read on RAGAS, LangSmith, Braintrust, Langfuse, and the FREE-AI Framework.

Anguilla collected $85.3 million in 2025 from companies registering .ai domains, nearly half its entire government budget. The story traces back to a standards body, two lucky letters and a neighbor called Antigua that almost got there first.

Two financing deals linked to OpenAI ran into trouble this week one over who guarantees a chip order, the other over how to value a private company. Neither is resolved.

CoreWeave's spending in a single quarter reached $7.7 billion, and it borrowed billions more, and still posted a $740 million loss. The numbers raise a question that the backlog alone cannot answer: how long can a company build at this speed before the math has to work?