The personal AI hub people own, and experts build on.
Today your context is scattered across every AI tool and app, owned by the companies, not you. Chrysalis gives each person one private hub to hold it, carry it across any AI, and share only what they choose. And it's the layer creators and organizations build their hyper-personalized experiences on. Already running inside two Fortune 500 environments, and selected for the HHS Invisible Illness sprint.
Train memory, not models.
Context and method have never had a place to meet.
People already use AI to apply the work they buy. But their context and the expert's method sit in separate systems, and bringing them together has meant giving something up.
- Their context is scattered across AI tools, providers, programs, apps, and notes.
- When they need to apply what they learned, generic AI is easier to reach than the original work.
- Better AI needs more context, but handing every platform more personal data creates ownership and privacy problems.
- They keep re-explaining themselves and rebuilding context from scratch.
- Their IP lives separately from the customer's real-life context.
- Once a session, course, or program ends, they lose control of how the work gets applied.
- Making an experience genuinely personal means stewarding a lot of sensitive information.
- They can't create more access to their work without adding more of their own time.
Chrysalis gives them somewhere to meet.
One place where a person's context meets an expert's method.
The person owns their context.
The expert owns their IP.
The person decides what's shared between the two.
The person's context on one side, the expert's method on the other, and the person deciding what crosses. Technology carries what it should; a human stays where judgment and meaning matter.
The wedge is portability, not lock-in.
Memory is becoming table stakes. What sets Chrysalis apart is who it serves: the person, across every tool they use, instead of one company's app.
It travels with the person
Context that moves across the AI tools, apps, and trusted humans a person chooses, not memory trapped inside one company's walls.
The person decides
They choose what enters a Space, who can see it, and for how long, and can take it back. Their story stays theirs.
It works for the person
A bridge that only serves the individual is a conflict of interest for the platforms, and our entire reason to exist. Our approach is patent-pending.
Method infrastructure, not content hosting.
Radiah Rhodes runs her Leadership Capacity method through Chrysalis: the adaptive experience gathers responses into a Personal Operating Plan, while a trained human still handles the debrief, and the same body of work is delivered through practitioners and inside Fortune 500 organizations.
“It gave us the tool we needed to scale the work without losing the substance.”
One bridge. Many ways to pay for what lives on it.
Two markets on one architecture: the people using AI, and the experts and organizations they already trust. The full model, pricing, and unit economics are in the deck.
A home for their AI, context, and memory
A membership people keep, and build on over time.
Make what they already sell worth more
Partners make their existing work more valuable, or open a new way for their IP to earn, without becoming a software company.
The creator economy is going AI-native by 2027: creators and organizations monetizing knowledge, audience, and IP, almost none of them with their own AI yet. Chrysalis is the infrastructure underneath, reaching people through the experts who already have their trust.
We're aligning with investors who want their capital to do good work in the world.
If you invest in things that should exist, where people keep what's theirs, and the experts they trust do better work, let's talk.
Request the deck
We don't post the deck publicly. Request it and we'll reach out personally within two business days.
Two founders who've shipped a paying product on a fraction of what most teams raise.
Twenty years building secure systems for high-stakes, regulated industries, and fifteen years building health platforms that protect sensitive data. He architected the engine.
A decade running expert-led education companies, plus graduate research on data ownership and how AI should handle people's private information. The business and trust side.
More on the team and the expertise behind the build → About Chrysalis
Back the version of AI that keeps humans at the center.
If you care about how we build with AI, start with the deck or grab time with us directly.
Reach us at chrysalis@chrysalis.inc
Request the deck
Thank you for your interest in Chrysalis. We've chosen angel funding so far so we can build in line with our values.
We're open to any values-aligned investor, as long as we can keep doing this in a human-first way. Leave your name and email and we'll reach out personally within two business days.