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mYa Solutions

The other half of the AI story is being built in Oakland.

Everyone scaled AI up — into the cloud, away from you. We built it down: onto your own machine. Private. Local. Already proven.

You're early.
Enter
What has been built

One engine. Three regulated doors. Already open.

Not a promise about what AI could be — a record of what one local-first system already does, across three fields that have nothing in common but the standard of proof they demand.

Seven angles of view onto one system

Same codebase. Unrelated domains. Watch.

Not five achievements — five angles of view onto one architecture. Drag to explore.

The economics

The cost curve runs backwards.

$0.07
Total cloud cost, April, supporting the active pilot.
~$13
All-in monthly inference, every user, every domain.
90%+
Gross margin from the first seat. Compute runs on the user's device.
9.8 MB
Clinical knowledge graph from nine textbooks, built for under five dollars.

IBM Watson Health: four billion dollars over a decade, divested for one. Our clinical knowledge base: 9.8 megabytes, five dollars.

How it works

The seat of cognition is the architecture — not the model.

Most AI is one large model doing everything. Jean OS is the opposite: the model is one organ among many, and the intelligence lives in how the system is built.

Built in Rust

Memory-safe, deterministic, no garbage collector. Privacy and security are properties of the foundation — not features bolted on.

Inspired by the most efficient system there is

The architecture is modeled on systems evolution has refined over millions of years — built for reasoning, not just retrieval.

A mathematics of its own

A discipline of formulas developed in-house governs how the system reasons — named, in tribute, after Black pioneers in mathematics and science.

The full architecture is in the investor briefing →
What we believe

Four promises. No exceptions.

01

People over paperwork

Technology should give people back their time, their energy, and their lives — not demand more of them.

02

Privacy by architecture

Your data stays on your device. Always. Not a policy that can change — a property that can't.

03

Intelligence over scale

The race isn't about who builds the biggest model. It's about who architects intelligence correctly.

04

Accessible to all

The best AI shouldn't require a data center. We build for rural schools, offline clinics, and everyone between.

The commitment is the structure.

Ten percent of profits past ten million dollars a year go, permanently, to the places the current AI economy has left behind — rural schools, libraries, energy access where the grid doesn't reach. It's held by a founder's golden share, structured to outlast any change in ownership. The mission can't be sold away.

The doors

One engine. Many doors.

The same system, pointed at the fields that need it most. Each door is its own product — built on the engine you just met.

The road

Not a projection. A schedule.

Near horizon

  • Consumer release, November 2026
  • 1,000 subscribers + the Founder's Circle
  • Federal SBIR submitted
  • Physical-hardware dexterity demonstrations

Capability horizon

  • Mac Studio migration — fully local
  • Voice and multimedia
  • Continued compression for older devices

The horizon

  • Ecological restoration (in exploration)
  • Intelligence where the grid doesn't reach
  • The same engine, every door
Why we exist

This company is named for Kamyia Fletcher — a teacher. The intelligence is named for Jean Williams — the founder's grandmother. Two names. Two reasons it had to be built right.

Our story →
The other half

The half that was missing is here.

We're raising to grow, not to survive. I wasn't raised to ask for a favor before I'd earned the conversation — so let's start with what your investment builds.