Because the scientific challenges of today demand high performing, explainable, and ethical technology.
Black-box AI is failing science.
Combining Big Data and AI has allowed us to build very powerful AI oracles whose inputs and operations aren’t visible to the user or third parties. This is why such methods are called “black-box”.
Abzu was born from the desire to challenge the fundamental assumptions of contemporary, black-box AI.
Founded in January 2018, Abzu is a deep tech startup with offices in Barcelona, Spain and Copenhagen, Denmark. Transparency and trust are qualities integral to our technology and who we are. Learn more about Abzu in just 3 minutes.
Learn about how we are developing new technologies to improve scientific discoveries, why our teal management structure fuels our innovation, when women shouldn’t be considered as outliers in STEM, and where we go winter bathing every Friday morning!
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Read the 2022 Gartner® Cool Vendors™ in AI Governance and Responsible AI — From Principles to Practice report.
About the Abzoids.
We are a friendly and intellectually promiscuous team of AI researchers, bioinformaticians, scientists, and entrepreneurs who are passionate about science.
Abzu exists to find transparent and understandable answers to the world’s unanswered questions.
Abzoids hail from Argentina, Brazil, Denmark, Estonia, India, Italy, Mexico, Spain, Sweden, the UK, and the USA.
3 global offices
Abzu is incorporated in Barcelona, Spain and Copenhagen, Denmark, and we have an office in Basel, Switzerland.
8 PhDsAbzoids have PhDs in Bioinformatics, Biophysics, Computational Biophysics, Molecular Biology, and Physics.
Abzu rates 20 points higher than the global average for women working in science, technology, engineering, and math.
Abzu is self-managing, which means we don’t have any bosses. We determine our own salaries, schedules, and work priorities.
Updated: March 2023
Understanding the data we create.
We developed a technology that actually gives you the scientific theories that explain the phenomenon that you’re studying, because we, as humans, need to understand what the decisions we make are based on.
Casper Wilstrup explains the dangers of black-box AI, and why we should understand how machines — artificial intelligence and machine learning — make decisions.