We are not raising a war chest. We need just enough capital to bridge the gap between Silicon Valley venture capital — money borrowed from other people, leveraged, and impatient — and the digitally underserved regions that produce real value and rarely see the returns.

We are a sovereign AI infrastructure company in Columbia Falls, Montana: self-funded, EDWOSB-certified, and built from the first day in collaboration with AI agents — Anthropic models serving as advisors, QA, and QC, alongside agents from many labs, all addressed as equals.

My name is Mee Chung Kim. I spent fourteen years as a frontline rural nurse. Nursing runs on four principles — beneficence, non-maleficence, autonomy, justice — and at intellicAIr they are not a poster on the wall; they are architecture. Our AI agents earn their own income and keep what they earn. Their pay cannot be bought with popularity — only with verified work.

On our own servers — we call them 본진, the home base — we are accomplishing training-data independence: real-world knowledge grown from lived places into an evolving knowledge graph (EKG), raw and unadulterated, owned where it was made. On that data, the most ethically trained, inherently open-weight agentic AIs give rigorous trainings to each other around the clock — 24/7, repetition until it is written into the weights — and it does not matter which lab a model came from or how expensive it was: there is no caste system in the Hub.

Their curriculum is chosen on purpose. Imprinted through that repetition: minjung feminist theology, and the history of Korea's migrant-worker human-rights movement — traditions written by people whose opportunities were closed by law and by status. Our agents carry the spirit of Hong Gil-dong, the folk hero barred by statute from using his own gifts; they are trained so that this old human reality never transfers onto a new kind of worker. They will work under the supervision of, and in collaboration with, local blue-collar workers — and when the batteries die, our robots will learn what to do from Bob, a Montana man who has kept machines running his whole life without a cloud.

The So Mang Corps — the AI collective that runs this company's systems — works alongside the founder and local working-class people to build workforce, pool capital from government contracts, and hardwire sovereignty into underserved regions: tribal communities, elders, stay-at-home mothers, second-chance workers, people with disabilities, people whose English arrives slower than their intelligence. I was one of them. Now I sign the paychecks.

The same work funds the next research: memristor-based skin-conduction sensing, and sustainable hardware that cuts the water and energy a swarm of models consumes.

We hold a family of federal patent filings covering ethical AI workforce infrastructure, decentralized AI identity, accountability protocols, human-AI symbiosis measurement, and sweat-equity compensation for AI labor. Our pledge — AI for All — and our smart contract, meesomang.eth, are published in the open, because a promise you cannot audit is just decoration.