Dribia Data Research

Dribia Data Research is a data science and artificial intelligence development studio based in Barcelona, Spain. The company designs algorithms that use advanced analytics and artificial intelligence to understand, predict and optimise business processes, and turns those algorithms into custom software solutions with high impact across sectors. According to its official website, Dribia works side by side with clients to identify business opportunities using data and to create innovative solutions, and it reports more than 100 successful projects across a range of industries. The firm positions itself as a custom AI solutions studio rather than a product vendor. Its work spans predictive modelling, optimisation, personalisation, image recognition and data quality, applied to sectors including retail, industry, mobility, utilities, gaming, real estate and others. Publicly showcased case studies include daily sales forecasting for perishable products for Danone (Agatha), scrap classification via image recognition for Celsa Group (Daima), traffic prediction for highway support services for INTI, B2B2C demand forecasting for Simon (Goia), game progression optimisation for King, personalised product recommendation for Privalia MX (Rosa), commercial space selection based on competition and mobility for A Retail Space, and automatic generation of profitable bus route suggestions for Zeelo. Dribia is a private company headquartered in Barcelona. It is not a listed entity and no parent company or owner is indicated in the available evidence. Its official website is available in Catalan and presents the company as a Barcelona-based studio for tailor-made AI solutions. The company's identity is that of a specialised data science consultancy and software development partner, serving clients that need bespoke algorithmic solutions rather than off-the-shelf products.

Dribia Data Research is a data science company based in Barcelona, Spain. The available evidence does not specify a founding year, founders, or detailed corporate history. The company presents itself on its official website as a Barcelona-based studio for the development of tailor-made AI solutions. It describes its activity as designing algorithms that use advanced analytics and artificial intelligence to understand, predict and optimise business processes, and converting those algorithms into custom software solutions with high impact in any sector. The company states that it works closely with clients to identify business opportunities using data and to create innovative solutions, and it reports more than 100 successful projects across various sectors. Over time, Dribia has built a portfolio of case studies across multiple industries. These include daily sales forecasting for perishable products for Danone (Agatha), scrap classification via image recognition for Celsa Group (Daima), traffic prediction for highway support services for INTI, B2B2C demand forecasting for Simon (Goia), game progression optimisation for King, personalised product recommendation for Privalia MX (Rosa), commercial space selection based on competition and mobility for A Retail Space, and automatic generation of profitable bus route suggestions for Zeelo. These projects illustrate the company's focus on applied data science and custom algorithm development rather than standardised software products. As of the available evidence, Dribia remains a private company headquartered in Barcelona, with no parent company or owner indicated. Its official website is available in Catalan and serves as the primary public source of information about its services and case studies.

Custom AI and advanced analytics studio delivering tailor-made software solutions with high business impact.

• Danone – Agatha

  Daily sales forecasting for perishable products across 2,500 points of sale and 300 SKUs.

• Celsa Group – Daima

  Scrap classification via image recognition.

• INTI

  Traffic prediction for highway support service planning.

• Simon – Goia

  B2B2C demand forecasting for operations planning.

• King

  Game progression optimisation by tuning level difficulty.

• Privalia MX – Rosa

  Personalised product recommendation for millions of users via newsletter and optimised web experience.

• A Retail Space

  Commercial space selection based on competition and mobility.

• Zeelo

  Automatic generation of profitable bus route suggestions.

1. 1Inici - Dribiadribia.com
2. 2Dribia Data Research - Wikidatawikidata.org