Corporate AI investment reached $252 billion in 20241. In 2025, the four largest tech companies alone spent over $400 billion on AI infrastructure2 — and global AI spending is projected to hit $2.5 trillion in 20263.
Almost all of that money went to the same problems: marketing and sales, code generation, content creation, and customer service4. Marketing AI alone was a $47 billion market5.
Meanwhile, a farmer in Gorkha, Nepal can’t identify the disease killing her crops. A migrant worker in Qatar can’t get a loan back home because no bank has ever seen his income. A mother in Jumla, Nepal can’t read the health instructions on her child’s medicine because they’re in English.
These aren’t small problems. They affect billions of people. But they don’t generate the kind of revenue that attracts venture capital or big tech R&D. So no one builds for them.
We do.
Everest Labs builds vertical AI products for markets where the economics don’t work yet — but the problems are urgent. We start with Nepal because it concentrates every constraint that matters for AI: a language big tech won’t prioritize, a financial system with no data on most of its people, an agricultural economy with no advisory infrastructure, and connectivity too thin for cloud-first solutions.
If we can build AI that works here, it has a chance of working almost anywhere.
Our bet: the largest AI markets of the next decade don’t have a budget yet. We’re built for that.
We’re not here to “develop” anyone. We’re here to build useful technology for people who’ve been waiting too long for it.