Coming Soon
Learn real things.
Prove you know them.
Verifiable education powered by our Fano-7 architecture — the same algebraic AI that achieves 98.6% convergence in process prediction. Games, adaptive tutoring, and cryptographic proof of mastery.
Join the Waitlist →The Problem
Education is expensive
Degrees are gatekept. Tutoring costs $50–200/hour. The people who need learning most can't afford it.
Games are engaging but teach nothing
Billions of hours spent on games that optimize for attention, not understanding. That engagement is wasted potential.
Credentials don't mean knowledge
A certificate says you sat through something. It doesn't prove you understand it. There's no verification layer.
How It Works
Five steps from material to mastery — each one verifiable.
Bring your material
Screencap a textbook page, paste an article, or pick from curated curricula. The system generates personalized challenges from whatever you're studying.
Play challenge games
Mini-games at every level — from chapter-wide comprehension down to individual concepts. The AI adapts difficulty in real-time using the same convergence dynamics our research models predict.
Get unstuck adaptively
When you struggle, the system doesn't just show the answer — it routes you through the specific sub-concepts you're missing, guided by algebraic attention that models how knowledge connects.
Master → crystallize
When you demonstrate mastery, it's recorded cryptographically. Your proof of knowledge is yours forever — portable, verifiable, and independent of any institution.
Accumulate milestones
Individual mastery proofs compose into curriculum-level achievements. Build a verifiable knowledge portfolio at your own pace.
Learning Modes
Mini-Games
Challenge-based active recall
Read With Me
Guided reading with inline questions
Read Then Discuss
Socratic dialogue after study
Exploration
Follow curiosity, build connections
Offline
Cached challenges, sync later
Why It Gets Cheaper Over Time
Our AI doesn't just teach — it learns to teach better. That's why pricing goes down, not up.
Crystallized Intelligence
When our Fano-7 model converges on how to teach a concept effectively, that convergence is crystallized — turned from expensive iterative computation into a direct, cheap prediction. The first time the system figures out how to help someone understand eigenvalues, it costs real computation. The thousandth time, it's nearly free.
This is the same mechanism our research architecture uses to achieve 98.6% convergence across difficulty levels (easy, medium, hard, adversarial) — with 17% better per-step improvement than standard transformers. Read how it works →
Prove Once, Use Everywhere
Our architecture uses a principle from homotopy type theory: if you can prove something holds at a base case and the structure preserves it, it holds everywhere — without re-checking at every step. Applied to education: once the system proves it can teach a concept effectively, it doesn't need to re-derive the approach for every new student. The structure of effective teaching is preserved in the weights.
Honest Pricing
As the system learns to teach better, the price drops. Our goal is $1/month. We'll get there together.
Learner
Launch price → goal: $1/month
Full access to all modes, subjects, and verified credentials.
Patron
Support the mission
Full access plus the knowledge you're helping make education accessible.
Compute Contributor
Provide beacon compute
Contribute spare compute cycles → offset your cost. Part of our distributed network.
Get Notified at Launch
We're building this now. Leave your email and we'll let you know when it's ready.