Translucent Datalab

Translucent Datalab

We are a data science company that provides knowledge about the activities of illegal online pharmacies.

HQ location
Madrid, Spain
Launch date
Employees
Company register number
B44765436
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DateInvestorsAmountRound

N/A

Support Program
Total Funding000k
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Translucent Datalab is a technology spin-off from IE University, established in 2023, that specializes in providing data science services to illuminate the operations of illegal online pharmacies (IOPs). The company's genesis traces back to a 2016 ERC Starting Grant from the European Commission awarded to investigate the competitive dynamics of these illicit entities. A subsequent ERC Proof of Concept Grant in 2022 was the catalyst for transforming this academic research into a commercial venture.

The company was founded by a team with deep roots in academia and data science. CEO Luis Diestre, a full professor of strategic management at IE University, initiated the research that underpins the company's mission. His academic work, focusing on innovation and social impact in the pharmaceutical sector, provides the strategic direction for the firm. Co-founder and CPO Antonella Fazio, an adjunct professor of economics at IE University, brings her expertise in empirical research and quantitative methods to lead product strategy. Co-founder and CTO Yasser Fuentes, an adjunct professor of data science and mathematics at IE University, heads the technological infrastructure, leveraging his background in data science and physics.

Translucent Datalab's business model is centered on offering a suite of monitoring services that utilize artificial intelligence and big data techniques. These services cater to a diverse client base that includes drug manufacturers, regulatory agencies, law enforcement authorities, industry associations, and patient advocacy groups. For these clients, the company maps the IOP ecosystem, estimates sales volumes and the corresponding economic losses for the legitimate pharmaceutical industry, and assesses the adverse health impacts and costs to the healthcare system. This intelligence allows clients to understand the scope of the problem, build fact-based communication strategies, and assess the effectiveness of their countermeasures.

Keywords: illegal online pharmacies, data science, risk monitoring, pharmaceutical industry, big data analytics, regulatory technology, health impact assessment, economic loss, market intelligence, brand protection

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