Intelligence has always been humanity's most asymmetrically powerful resource. A single physicist conceived relativity. A dozen engineers built the transistor. A small team at Xerox PARC invented modern computing.
The pattern is clear: breakthrough capability concentrated in exceptional minds moves civilization forward in leaps. But machine learning, the technology reshaping every industry, has inverted this. Today's AI revolution is bottlenecked by two brutal constraints: compute and talent.
Companies with billion-dollar visions hire recruiters to compete for the same few hundred ML engineers. Brilliant founders who can architect entire systems are blocked by their inability to hire someone who can implement them. And the vast majority of businesses that could benefit from ML never even try, because the entry barrier isn't capital or data. It's expertise.
The capability to build sophisticated ML systems exists. The need for those systems is everywhere. What's missing is the transfer mechanism: a way to package world-class ML engineering judgment and deploy it wherever ambitious problems live.
At Jarmin, we're building a system that thinks like exceptional ML engineers: decomposing ambiguous requirements, architecting robust systems, making informed tradeoffs, and shipping production pipelines. Built by a team with the right experience (Meta, Apple, AWS, Lockheed Martin, JPMorganChase), grit, and vision.
The future isn't a world where only the few can build with AI. It's one where any team with a meaningful problem can create exceptional AI capabilities.
We're building that future. We’re building Jarmin.