Our Manifesto
Hyperknow's belief
Our belief is simple:
Every student in the world deserves an exceptionally efficient system for learning.
Learn what you want, at any age you want.
Not constrained by timetables, grade levels, or predefined tracks. Not limited by background, access, or where you started. Knowledge should be accessible—to everyone.
We believe learning should not feel like a slow, pre-programmed conveyor belt. It should be a capability you can activate at any moment—and continuously accelerate.
How we imagine the future of learning
In form, we imagine an all-round study companion—something like Jarvis in Iron Man, always there when you need it.
It stays aware of your learning state, your courses, and your materials.
Today, it helps you understand, organize, and move learning forward. In the future, it will take on an even deeper role in carrying learning itself.
Our goal is to place the entire learning process inside a platform designed specifically for learning. To take fragmented, scattered knowledge and reassemble it into structures that can be understood, transferred, and reused.
Why now?
Why now?
Because the age of AI has arrived— yet the infrastructure of education remains deeply outdated. Many of the most important foundational abilities are never taught within traditional systems.
After “finishing” their courses, students are often left alone to figure out how to keep learning. And that is where real learning actually begins. Once students build strong foundations, they naturally dive deeper into what truly interests them. It should be possible—even in elementary school—to understand ideas that once belonged only at the university level.
Who we are, and, why us?
We are a team of students from Columbia University.
We believe the best education technology is built by those who are still learning. Because students understand—firsthand—where existing systems fall short, and what real learning actually requires.
We are a Learning Technology Company. Not here to replace education, but to explore a more fundamental question:
How can humans learn better?
At this stage, our answer takes the form of an agent architecture. It begins by serving students within existing systems, with one core goal: to make cognition itself a cumulative asset. Within a finite lifetime, we believe people should be able to master cross-disciplinary knowledge more quickly and more efficiently—not confined by stages like high school or college, but empowered to continuously explore the fields they genuinely care about.
We structure knowledge, skills, and cognition so that learning generates feedback as it happens. Not driven by sheer willpower, but sustained by the momentum that understanding itself creates.
We will always evolve, until best practice is found.