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Molecular taste intelligence

Wine, understood.

Oenra maps the chemistry of wine to the preferences of people — a clearer way to understand what is in the glass, and who it may be right for.

Research preview.Built for adults of legal drinking age.Oenra for the wine trade →

Fig. 1From wine to fingerprint
Illustrative

A stylized gas-chromatography trace of a wine's volatile compounds: intensity plotted against retention time, with peaks labeled by compound family — acetates, fermentation esters, terpenes, thiols, and phenolics. One peak, the terpenes, is highlighted.

A wine's aroma, separated into compounds. Gas chromatography spreads volatile molecules across time; each peak is a family of compounds that shapes what you smell.Illustrative figure. Not measured from a specific wine.
The wrong question

A score can rank a bottle. It cannot know your palate.

Ratings summarize expert judgment or community opinion. They can be useful — but they answer a different question than the one you're actually asking.

The universal score

One number, from someone else's palate. The same for everyone who reads it.

The chemical profile

What is measurably in the wine — its acids, sugars, phenolics, and aroma compounds.

The personal match

How that profile lines up with the preferences in your own taste model. Different for each person.

Oenra doesn't argue with critics or sommeliers. Expertise tells us what a wine is; Oenra helps explain who it may be right for.

The method

Measure the wine. Model perception. Match the person.

No chemistry degree required. The science runs underneath; what you get is an answer that's about your palate.

01

Measure

Build a structured representation of the wine from analytical and product data.

02

Model

Translate those characteristics into a sensory profile, with confidence and limits.

03

Match

Compare that profile with the preferences in an individual taste model.

Taste DNA

Your palate is a pattern, not a rating.

Taste DNA is Oenra's name for a living model of your wine preferences — built from what you enjoy, what you reject, and how that pattern changes over time. It lives on the same eight sensory dimensions as every wine, so the two can be compared directly.

Fig. 2Your palate vs. a wine
Illustrative

A dumbbell plot across eight sensory dimensions. For each dimension, an open dot marks a wine's value and a filled oxblood dot marks a personal preference value, on a shared low-to-high scale. The distance between the two dots shows where they align and where they differ.

  • This wine
  • Your palate
Where a wine meets a palate. The closer the two dots on each dimension, the more a wine fits — shown here as a comparison, not a single score.
The product

A recommendation that explains itself.

Scan or search a bottle and Oenra shows a predicted match — and, more importantly, why: where the wine aligns with your palate, and where it sits outside your usual range. Every output says whether it came from measured data or from the model.

Domaine Voss, Syrah
Northern Rhône · 2021
Illustrative
Predicted match
91%
confidenceHigh
Strongest alignment
  • Savory, earthy character
  • Firm structure and grip
  • Moderate oak
Possible mismatch
  • Tannin sits just above your usual range
Transparency

The model should never be more mysterious than the wine.

We show our inputs, our confidence, and our limits. Chemistry predicts some sensory attributes well and others poorly — and it never, on its own, decides whether you personally will like a wine. We say so.

  1. 01

    Inputs

    Analytical chemistry, producer specs, vintage, region, varietal — where available.

  2. 02

    Representation

    A structured, machine-readable profile of the wine.

  3. 03

    Sensory model

    Eight dimensions, each with a confidence that reflects the data.

  4. 04

    Matching

    Compared to a personal taste model — an explained match, not a verdict on quality.

Wine, understood

Understand the bottle. Understand the person.

Oenra is a research preview. Join to help shape it, or talk to us about a pilot.