Partners
We’re building the kind of AI infrastructure we’d want to exist.
That means creator and organization IP stays with its makers. Personal context stays with people. The architecture underneath respects both. We’re looking for investors who find that obvious — not a nice-to-have.
What we believe
The convictions the whole company runs on.
People generate meaning their whole lives. That accumulation belongs to them — not to whatever platform they happened to be using when it happened.
The best creators and organizations built something public AI cannot replicate. A body of method, interpretation, and judgment that took decades. They shouldn’t have to give it away to scale it.
Infrastructure that serves people differently needs investors who think differently. We’re selective. We’d rather build slower with the right partners than faster with the wrong ones.
What we build
Two products, one architecture.
The layer that makes both possible: bounded context and data sovereignty. A creator’s IP never trains a public model. A person’s context is portable and consent-controlled. That constraint isn’t a limitation — it’s the moat. Consumer-owned context is the missing layer for creator-led AI personalization.
Creator Hub
We map a creator or organization’s method into structured logic, build the private platform, and put licensing in their hands. Their certified practitioners deliver it — hyper-personalized experiences, with the IP protected.
Consumer Hub
A personal AI hub people own and carry between tools, organized around the parts of their life that matter. Consumers enter through creator-led experiences and keep the hub. No public model training. No data harvesting. The long game.
The opportunity
A structural gap the market keeps trying to paper over.
The revenue ceiling
Creator-led businesses cap wherever the founder’s presence is required for the work to land. Every workaround so far — courses, certifications, chatbots — loses something essential.
The quality gap
Practitioners learn the framework. The interpretation and next-step logic live in the creator’s head. No existing product solves the transfer problem without giving the IP away.
The personal data vacuum
People are building richer AI conversations than ever, across a dozen tools that don’t talk to each other and don’t belong to them. Nobody has built a home for it yet.
Traction
Where we are.
Founding partner live. Radiah Rhodes (Evók) turned her proprietary 360° leadership assessment into a licensable platform her certified facilitators deliver. First cohort: contributor engagement up ~50%, completion ~64% faster. Two licensed practitioners live, six more deployments on deck.
A published author is mid-build now.
$100K+ in revenue since April — product plus consulting — and two Fortune 500 corporate clients, the second launching now.
SOC 2 & HIPAA audits in progress, on track for approval by October — the trust signal behind the health use case.
We take on builds selectively. Every project starts with a strategy conversation — so the fit is clear before anything is built. We’d rather say no early than build the wrong thing.
The personal app is in early beta, with cohort-based onboarding launching this summer.
Team
The founders.
Brent Martin
Co-Founder & Chief ArchitectNearly two decades designing systems for regulated, high-stakes environments, and fifteen years building health platforms that handle sensitive personal data. The architecture is his.
Brittany Martin
President & Co-FounderA decade of executive leadership inside expert-led education, including President & COO of Hello Seven. Graduate research in AI, data ownership, and consent.
If this landed the way we meant it to…
Ask for the deck. We’ll follow up directly and have a real conversation — about the vision, the architecture, and whether we’re actually a fit for each other.