The first artificial intuition API

Norn predicts which idea people will respond to, before anything is published.

The problem

$1 trilliona year, spent guessing.

That is what advertisers spend every year trying to reach people. Markets, media and governments all depend on knowing what to say to them, and today most of it is still a guess.

Generative AI made the guess cheaper, not better. It writes more of the same, faster, and multiplies the noise.

GroupM and WARC both put global ad spend above $1 trillion in 2024.

Artificial intuition

Language models write toward the average

Illustrative.

They are brilliant at writing, images and video, and bad at knowing what to talk about. They are trained to predict the most likely next word, so their ideas drift toward the middle. The middle is exactly what people scroll past.

Norn is trained the other way round. It does not write. It predicts which idea will stand out, for one brand, with one audience, at one moment. We call it artificial intuition.

How Norn learns

Trained on every decision in Native

Every idea Native suggests leaves a trail. The business approves it, rewrites it or turns it down, and the post or ad that goes out lands or it does not. Norn learns from the whole trail, across organic posts and paid ads.

More than 2,200 businesses run their marketing on Native, so Norn gets a little better with every post they publish.

  1. Norn suggests an idea

    For one brand, at one moment.

  2. The business decides

    • Approved
    • Rewritten
    • Turned down
  3. It goes out

    • Organic post
    • Paid ad
  4. Norn sees how it did

    And learns what this brand’s audience responds to.

Then round again, a little sharper each time.

Questions about the API

Not yet. Access opens from this waitlist, and we will email you when yours is ready. Norn itself is already at work inside Native: the ideas Native suggests come through it.

Something else? Write to us at hei@native.no