Polarity

We forget things, but we know what's important enough to hold onto.

That's what makes us human. AI forgets things but has no clue what's important enough to hold onto. That's what makes it AI.

We built the algorithm that teaches systems what to hold onto.

You can't fake importance. You can't fake Polarity.

See what we built Talk to us

The problem

Knowledge has always been the great gatekeeper. The todo list sitting in your notes app for too long, once made actionable, becomes opportunity. The friend you ran into at the coffee shop who you remember to follow up with becomes community.

AI knows details about things according to its training data and how you have described them. It does not understand the big picture of what things mean to you. It does not comprehend the gravity of loss nor of joy. It does not know you the way a friend who has known you for 20 years would.

And yet we treat the answers it gives us with even more respect than the answers we give ourselves about our own situations.

ChatGPT and Claude store your messages and paste them into a context window. The project that kept you up for months and a throwaway question from Tuesday sit side by side. After 500 conversations the model still does not know what matters to you, what shaped you, or that you are not the same person you were six months ago.

It has your history. It does not feel the weight of any of it.

The algorithm

We need to develop artificial intelligence that understands the gravity of knowledge. Not just what happened, but what it weighs.

Polarity is that algorithm. It measures the weight that things carry in someone's life. Things that repeat carry weight. Change carries weight. Who someone is compounds over time. And a system that understands someone should know what was heavy enough to hold onto and let the rest go.

The smarter a model becomes the less human it becomes because it reflects us less and less. We are training large language models on the wrong things. They are getting smarter and dumber at the same time.

Polarity does not make AI smarter. It makes AI understand what matters.

Patterns

Things that repeat carry weight. The algorithm identifies what recurs, confirms it across sessions, and treats it as something that matters.

Drift

Change itself carries weight. The algorithm knows what normal looks like for each person and it knows when normal changes.

Identity

Who someone is compounds over time. A living profile that reflects that people are not static.

Memory

The system learns what was heavy enough to keep and lets the rest go. Not a chat log. Comprehension.

Proof

We pointed the algorithm at music. We did not change the math. We did not retrain anything. We adapted the vocabulary and deployed it.

Out came WAXFEED. A living cognitive profile of how you experience music built from every interaction. 26 unique listener archetypes that emerged from the data, not from us deciding what they should be. User to user matching based on how people actually think about music, not just overlapping playlists.

Same algorithm. Different words. It is live right now.

$ polarity deploy --domain=music
  cognitive_profile  →  TasteID
  pattern            →  listening pattern
  drift              →  taste evolution
  behavioral_mode    →  listening mode
  identity_score     →  taste confidence
  Engine:     unchanged
  Math:       unchanged
  Vocabulary: adapted
  > 26 archetypes generated
  > wax-feed.com

Your turn

Music was the first deployment. It will not be the last. The algorithm does not know what music is. It does not know what finance is, or healthcare, or education. It knows what things weigh and how that weight changes over time.

If you already have a system, we layer underneath it and give it the ability to understand the people it is serving. If you need something built from scratch, the algorithm becomes the foundation.

You bring the domain. We bring the understanding. Your competitors cannot replicate what they cannot see.

Finance

A wealth manager with 200 clients who finally knows what keeps each one up at night

Healthcare

A patient portal that flags when someone quietly stopped following their treatment plan

Education

A platform that knows the difference between the student who learns by doing and the one who learns by reading

E-Commerce

A returning customer with 40 orders who finally gets treated like one

Enterprise

A support team that knows whether the ticket came from a power user or someone who onboarded last week