Investor relations
AI is only as good as the context it has.Nobody owns theirs.
The model is the commodity - everyone has the same frontier models. What's not commoditized is the context you feed them: your projects, your decisions, your standards, your history, your team's accumulated knowledge. Today it's scattered, re-explained every session, lost when people leave, and quietly leaking into vendor models. Fathym is the layer that captures it, keeps it yours, and makes it compound.
The thesis
Own the intelligence your work creates.
Using AI today is like hiring a brilliant consultant with amnesia. Every morning they show up sharp - and you re-explain everything: your projects, your standards, what you decided last week and why. They never accumulate.
Fathym gives that consultant a memory and a filing cabinet that belong to you, not the vendor. Your AI gets smarter about your actual work every day, and that memory stays yours.
This is AI Sovereignty: your context, your knowledge, your accumulated judgment - owned and governed by you, not leaking into a vendor's model, not evaporating when an employee leaves or a vendor changes terms.
Intelligence Transformation is the next Digital Transformation - and we're the ones who make that intelligence yours. Sovereign, governed, compounding.
Two products, one motion
Start with you. Scale to your company.
fAI
OpenX
fAI and OpenX are two products, told as one continuous motion: land with the individual (fAI - a personal context workbench, free, in every agent) and expand to the org (OpenX - connect your team's real data to AI and turn the work into shared, owned tools). One architecture underneath, so it scales from a single developer to a whole company without re-platforming. (Mosaic, the ambient interface over all of it, is the horizon.)
Positioning
By not trapping you, we trap them.
Why can't OpenAI or Microsoft just do this? Their business model is the opposite of letting you own and remove your context - Microsoft folds AI into Copilot, Windows, and Azure; the model vendors keep your context inside their own chat. We're the independent layer that runs between every provider, and your context accumulates in a repo you own - so when the labs ship memory, you become the neutral substrate they all plug into, and the asset compounds where you keep it: switching cost that grows for you, not against you.
How it works
One command. Context that compounds where you own it.
One command installs Fathym into every AI agent a developer already runs - Claude, Codex, Cursor, Cline, Aider - and from that moment their context accumulates in a git-backed vault they own, instead of leaking into a vendor they rent.
That is the mechanism behind sovereignty: the Vault() holon architecture is fully git-backed - owned, versioned, governed, portable. The more you use it, the more your context accumulates in your repo, and the harder it is to leave - switching cost that grows for you, not against you.
- •One-command install across every local agent (Claude, Codex, Cursor, Cline, Aider) - context starts accumulating where you own it
- •Git-backed Vault() holon architecture - owned, versioned, and governed by you
- •Multi-model and provider-neutral by design - never locked to one vendor; any MCP client connects
- •The asset compounds: every session deepens the context in your repo, raising switching cost
- •Holonic architecture - every part is whole on its own and safe to compose; nothing tightly coupled, nothing fragile by default
The moat
Each pass starts where the last one ended.
Most AI work resets every session. The Loop keeps it: Intake feeds Thoughts, Thoughts feed Workstreams, Workstreams feed Creation, and Creation feeds back in - so the picture of what you know grows instead of resetting.
Context
Capability
Scale
The market
The category is being defined now.
Context Engineering is the emerging technique for getting the right context to AI - Gartner sizes it at $6.27B in 2025, growing to $28.45B by 2030. The technique gets commoditized; owning and governing the context is what lasts.
Whoever owns the context layer - where a company's intelligence accumulates and stays - holds the durable ground as the models themselves commoditize.
Gartner: Context Engineering $6.27B (2025) -> $28.45B (2030).
Traction
Shipping, not slideware.
- ✓fAI is live and shipping - one command installs into every agent you run (Claude, Codex, Cline).
- ✓A prospect turned six Word documents into a working dashboard through the loop.
- ✓Provider-neutral and local-first - runs on local models, no frontier model required.
- ✓We run on our own tooling - synthesis live across our own vaults.
Team
Who's building it.
Matt Smith
Michael Gearhardt
Let's build the context layer together.
The model is the commodity. The context is the moat. We make it yours.