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. That last shift moved your business to the cloud; this one decides who owns the intelligence it creates, and we make sure that's you.
TWO PRODUCTS, ONE MOTION
Start with you. Scale to your company.
fAI and OpenX are two products, 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.
Your personal context workbench. One command installs it into every AI agent you already run, and your AI starts remembering your actual work - memory that is yours, not the vendor's.
Your company's knowledge becomes a living, governed asset your AI draws on - shared context instead of being re-explained by every employee, lost to turnover, or leaked into someone else's model.
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 between every provider: your context accumulates in a repo you own - so when the labs ship memory, we're the neutral layer they all plug into, and the asset keeps compounding where you keep it.
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 architecture is fully git-backed - owned, versioned, governed, portable. You can walk away any day and take all of it - the reason you stay is that the asset keeps compounding where you keep it.
- •One-command install across every local agent (Claude, Codex, Cursor, Cline, Aider) - context starts accumulating where you own it
- •Git-backed vault 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 piece works on its own and snaps together safely, so nothing breaks as you add to it
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
The knowledge vault gets smarter every session through synthesis.
Capability
Real usage and feedback flow back into better tools and patterns.
Scale
Patterns discovered at team level flow back down as better individual defaults.
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.
Named enterprise pipeline, regulatory specifics, and dated milestones live in the investor room, behind NDA.
TEAM
Who's building it.
Matt Smith
Years of real customer work - IoT, weather, large-data analytics. That everything-as-code work became Fathym's architecture; the AI shift made its value land.
Michael Gearhardt
Years settling architectures pre- and post-acquisition became everything-as-code, which evolved into Fathym's Holonic architecture. Built the git-backed vault and the cross-agent installer.
Let's build the context layer together.
The model is the commodity. The context is the moat. We make it yours.