We have developed the only Operating System for the wine sector. We help oenological decision-making by providing:
-Objective data that allows us to design wines tailored to the market in order to better serve customers and consumers.
- Objective data to keep the identity of each bottling, batch and vintage constant.
- Increase sales.
- Loyalty.
No matter who your customers are, Picture the Taste™ they enjoy
Picture the Taste™
Based on 22 analytical parameters, our AI visualises the customer’s perceived taste of any wine, representing it according to its 4 main axes: the acidity impression of a wine, Crisp; the impression of sweetness, Sweet; the impression of long taste, Mellow; the impression of short taste, Grip.
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Wine
Any given wine
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Physical and chemical data
Raw data contained in wine
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Information
Relevant information is obtained from the data
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Picture the Taste™
Our algorithms picture the shape of taste
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Maps of wines
Locate any wine on our Wine Positioning System™
Wine Positioning System™
The individual taste balance of each wine is represented in our Wine Positioning System™ (WPS) which accurately describes the taste differences between any number of wines and allows us to offer solutions.
Learn moreSolutions
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Wine Retailers
Build customer loyalty and improve margins
By positioning wines in the WPS and cross-referencing each position with sales, you can effectively analyse the demographics behind particular wine preferences. In addition, you can compare it with the competition, providing useful information for your buying team.
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Online Wine Retailers
Improve your customer's shopping experience by building customer loyalty
By positioning wines on the WPS and cross-referencing each customer's recurring sales with their position on the map, you can recommend specific wines that they are sure to enjoy. You will also be able to know that the wines you receive actually match the wines ordered and offer consistency of taste to the consumer.
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Wine Producers
Know the trends and maintain consistent quality in every batch.
By positioning the portfolio in the WPS and comparing it with wines produced by the best sellers in each market, you will be able to adapt the taste profile of a wine to match successful wines. Positioning wines before bottling allows you to work on the blend to ensure consistent consumer satisfaction.
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Clients
We work with the leading importers and producers in Italy, Spain, France, Holland, South Africa, Germany, Switzerland, Portugal, Georgia, US, Chile and Argentina.
View Case Studies"Hawesko now relies on "Wine ID" - a system that analyzes the tastes of online shoppers based on their orders and gives them recommendations based on that. The promise of "never another disappointment in a glass.“
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Thorsten Hermelink, CEO Hawesko
"I have been working in the wine industry for 23 years and thanks to WINE LUTHIER for the first time I am clear about how a wine is organized."
Eloy Bautista, General Manager in Torre Oria
"We have placed our trust in WINE LUTHIER to be able to build a coherent range of wines that expresses the different personalities of our vineyards"
Vicent Francés, Vinya Alforí
"WINE LUTHIER technology plays a key role in our quality control. We are confident that our consumers can recognize our flavor regardless of the batch and the harvest. "
Juan Ramón Iglesias, Manager in Bodegas Enguera
Our
Team
A human and experienced team, made up of winemakers, data scientists, designers and engineers, committed to create innovative solutions through constant research.
More about Us-
Diego Fernández
Founder & CEO
Agronomist. Universidad Politécnica de Valencia. Diplôme Nacional d’Oenologie (DNO). Ecole Nationale d’Agrnomie de Montpellier.
Prestigious Valencian oenologist, with more than 20 years of experience in viticulture, winemaking and commercialization of wine. He was convinced that oenology should not continue working based only on subjective criteria and that data analysis, mathematics and data science had to overcome in the world of wine. That´s how WINE LUTHIER was created.
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Marcelino Ferri
AI Manager
Agronomist. Universidad Politécnica de Valencia. University Professor. UPV Applied Physics Department
Dedicated to the numerical calculation applied to different areas of sensory perception. He developed the thesis “Application of fuzzy algebra to the evaluation of sound quality”. He belongs to research, development and innovation groups. Develops numerical methods for the modelling of dynamic systems, for the optimisation of multi-objective processes and for the analysis of perceptual data. Together with Diego, he developed the algorithm system that uses Wine Luthier technology.
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Gonzalo Medina
Oenology Manager
gmedina@wineluthier.com
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Lía Martínez
Laboratory technique and administration
administracion@wineluthier.com
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Rosalía Rodríguez
Laboratory Technique and Enology
rrodriguez@wineluthier.com