The person behind Databrain
One conviction since the very first study: measure what consumers actually do, not what they say they prefer.
Darío Treco
Darío Treco brings together an unusual combination: engineer, researcher and sensory perception specialist, all at once. He holds a degree in Marketing (UADE) and a Master's in Neuromarketing from the Universitat Autònoma de Barcelona (UAB), with executive education at the MIT Sloan School of Management and the Kellogg School of Management (Northwestern), and is currently pursuing doctoral research.
His path explains how Databrain works. He learned to code at IBM; at Givaudan he specialized in perception and sensory marketing for the food industry, a field where the gap between what someone says and what their body actually registers is enormous. That is where he found the underlying problem: traditional market research rests on participant self-report — one of the least reliable sources there is — and ends up misdirecting the campaigns that depend on it.
Out of two skill sets that rarely meet in one person — the rigor of someone who builds their own analysis tools and the intuition of someone who understands how the body perceives — came his biometric analysis method, today the core of Databrain: read the consumer's real response, not the one they report.
Across more than ten years as an entrepreneur he has run over 200 neuromarketing studies, alongside ventures in construction and in food and beverage import and distribution. In academia he taught at UADE and Universidad de Palermo, designed undergraduate and graduate programs, helped shape the Master's in Neuromarketing at Universidad de Las Américas (UDLA) in Ecuador, and collaborated with AINEM, the Italian neuromarketing association.
He also leads the curation and rollout across Latin America of the artificial intelligence technology from Neurons Inc., which Databrain works with under license.
Databrain
Databrain combines biosensors and artificial intelligence models to measure, with evidence, how consumers perceive and decide. Instead of starting from self-report — or from unvalidated synthetic estimates — we anchor every study in real biometric response: visual attention, emotional activation and cognitive load, measured in the lab or in the field.
We work with scientifically validated methodologies and apply them at the speed a marketing decision requires, for brands and research teams across Latin America. Databrain is also a member of CEIM.
For the artificial intelligence layer we work under license with technology from Neurons Inc. (Denmark), covering the Latin American market.
Who oversees the ethics of the AI we use
The AI technology we license from Neurons Inc. is overseen by its Ethics Advisory Board, an independent group that meets regularly to review the ethical guidelines behind its artificial intelligence work.
Thomas Z. Ramsøy, PhD
Founder, CEO and Chief AI Officer at NeuronsA leading neuroscientist and authority in applied neuroscience; he directed the Center for Decision Neuroscience at CBS and Copenhagen University Hospital.
Helle Thorning-Schmidt
Former Prime Minister of Denmark · Co-Chair, Meta Oversight Board26th Prime Minister of Denmark, former CEO of Save the Children International and a board member at Meta, Vestas and Edelman, among others.
Jan Trzaskowski, PhD
Professor of Law, Aalborg UniversitySince 1997 he has worked on the legal, regulatory and ethical dimensions of technology and digital marketing; author of numerous books and articles on the subject.
Kris Østergaard
Author · Head of Research & Publishing, Rehumanize InstituteAuthor of the bestseller Transforming Legacy Organizations and editor of the anthology Ethics at Work.
Dr. Imran Rashid, MD
Physician · Director of Health InnovationKnown for his books on digital health; as Health Director at Lenus.io he drives innovative digital health solutions.
Darío Treco is Neurons' lead for rolling out this technology across Latin America.
Principles
Scientific rigor
Every methodology we use is scientifically validated. When we work with AI or synthetic respondents, we always anchor them to real biosensors: AI supports the measurement, it never replaces it.
Data privacy
Each participant's biometric data is processed anonymously and used solely for the study it was collected for.
Methodological transparency
Before every study we explain what each methodology measures and what conclusions it supports — and which it does not. No metric is presented as more than it is.
Let's talk about your next study
Databrain brings together the rigor of scientific instrumentation with the speed a marketing decision demands. Si quiere anclar sus decisiones en evidencia real y no en estimaciones, hablemos.
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