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Neko Health, a Swedish full-body scan company, has opened in New York, charging $500 for a one-hour scan that is not covered by insurance.

According to a TechCrunch interview published October 3 with early investor Farooq Abbasi of Preface Ventures, the company was co-founded by Spotify's Daniel Ek, has raised nearly $1 billion in total, and has a global waitlist topping 300,000 people. Abbasi said the scan's biomarkers grew from 15 in his first scan to 55 in his latest; these figures come from the company and its investor.

The company still faces scaling and regulatory approval in the US, making the pace of its expansion the thing to watch.

Some image recognition models learn a pile of concepts internally, but no one can say exactly what they recognize. Activation Atlases average the model's internal responses to millions of images and draw them as a concept map, revealing the model's high-level misunderstandings: for example, a baseball photo led the model to recognize a "gray whale" as a "great white shark."

Today, when debugging why an image model misrecognizes something, this kind of visualization is still a standard tool; most later interpretability methods are patches built on top of it. The trigger scenario is a model misjudging something and you wanting to see what it internally took the image to be.

If the model isn't an image classifier, or the images are far from the distribution of common test sets, don't use it to judge model behavior. It draws a low-dimensional projection whose paths don't necessarily correspond to real structure — treat it as a clue, not quantitative proof.

《Activation Atlases》(2019) | Next review 2027-09-20