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Overtone Analytics

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Musician playing a cello with a bow.

Scientific Language Analytics: Harmonizing Insights with Overtone

I came to this problem the way a musician does: by ear.

Spend enough time playing or studying music, and you learn that meaning resides in intervals as much as notes. A semitone—the smallest step in Western music—is the difference between a major third and a minor third, between a phrase that resolves and one that remains unsettled. It's a tiny move on the page, but everything to the ear. An overtone—the harmonics that ring above a note's fundamental frequency—doesn't change the note being played, but it alters how that note is perceived: warmer, brighter, or out of balance with its surroundings.


Similarly, scientific communication works in a parallel manner, and most people are unaware of these subtle shifts.


The finding represents the fundamental—the data, the result, the truth. Everything layered on top of this fundamental is akin to overtones: the framing in an abstract, the confidence in grant renewals, the assurances in press releases, and the hedges that quietly vanish somewhere between the lab notebook and the pitch deck. None of these changes the underlying note, yet by the time a discovery reaches a funder, a journalist, or an investor, the shifts in scientific communication can drift so far from the fundamental that downstream audiences may not fully grasp what the scientist perceived at the bench.


Often, these adjustments aren’t even a whole step. "May suggest" morphs into "demonstrates." "Preliminary" quietly drops out of the sentence. "In a mouse model" becomes a mere afterthought rather than the headline. Each modification is small enough to justify on its own, but when accumulated across a translational pipeline—bench to publication to clinical development to market—these scientific communication shifts result in a different piece of music than the original. The drift runs the other way too: a strong finding can be played so quietly that no one downstream hears it.


Overtone Analytics exists to listen for those differences: to deliver data-driven insights on how scientific language shifts as a discovery progresses toward the clinic and the market. Our goal is to understand when these shifts reflect healthy scientific communication, when they signify a drift that has started to outpace the evidence, and when the evidence has started to outpace the words.


We are an early-stage research and technology venture, not a polished product. We seek scientists, communicators, and collaborators who perceive these nuances as we do.


Join us in recognizing the overtone.


Andrew M. Korda


Founder, Overtone Analytics

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