Notes from people building real AI in production.
Architecture, frameworks, market analysis, and field-tested advice from our engineers, consultants, and the partners who've actually shipped what they write about.
AI based startups in India — the dynamic 200
An inside look at the AI startup ecosystem actually being built across Bangalore, Pune, Hyderabad, and Mumbai.
Startup AI companies — the rising stars of AI innovation
What the most interesting AI startups are doing — and why they're scaling differently than the last wave.
Artificial intelligence in literature — and what libraries are doing with it
The literary establishment's reckoning with AI — and the quieter, more useful work happening in libraries.
AI in smartphones — on-device intelligence is finally here
What's running on your phone, what's running in the cloud, and what's about to change.
AI in schools — what works, what doesn't, and where to be careful
Beyond the panic — what AI in K-12 is actually doing right now.
Leading AI services companies — what to look for
How to evaluate an AI services partner without getting buried in vendor decks.
AI application development services — best practices from 200+ builds
Patterns we've learned from production AI work — what works and traps to avoid.
AI software development companies — the questions to ask
Picking an AI software partner is different from picking an app dev shop. Here's what to ask.
AI based companies in India — beyond the league tables
What the most interesting Indian AI-native companies are actually building.
AI development companies in India — what makes the good ones good
Why India is the default outsourcing destination for AI — and how to pick the right partner.
Choosing an AI framework — a guide for engineering leads
PyTorch vs JAX vs TensorFlow, LangChain vs LlamaIndex vs Haystack — and how to actually decide.
AI tools for automation — what to actually use, by category
Cutting through the tool-soup — what actually works in production automation, by use case.
Types of agents in AI — a practitioner's taxonomy
From simple reflex agents to learning agents — and where each one actually fits in production.
Top AI companies in India — how to actually choose one
Forget the league tables — here's the practitioner's lens on choosing an Indian AI partner.
Artificial intelligence technology — what's changed in the last 18 months
A practitioner's read on where artificial intelligence technology actually is — through hype and counter-hype.
AI startups in India — the ones actually shipping, not just raising
An honest read on the Indian AI startup landscape — what's working, what's funded but going nowhere, and what to watch.
Artificial intelligence in India — what's actually happening on the ground
Beyond the headline numbers — what the Indian AI ecosystem looks like from inside it.
Artificial intelligence architecture — the parts that actually matter in production
Notes from production AI work — what belongs in your architecture diagram and what's a distraction.