The people behind DDS
Deduce Data Solutions’ applied AI science team is a multidisciplinary team united by one shared purpose: turning artificial intelligence into measurable results for industry and energy. Six years in, headquartered at the Cantabria Science and Technology Park, with over 60,000 combined scientific citations behind it.
Three principles, one way of working.
Three principles guide every project we take on. They aren’t technologies — they’re how we apply them.
Creativity
We look for unique solutions you won’t find in a manual. Every client is a different challenge, and AI is only useful if it adapts to the real industrial context.
Simplicity
Technology adapts to the client, not the other way round. Powerful models behind the scenes, a simple interface and experience up front. If it isn’t understood, it isn’t useful.
Curiosity
We research before we promise. We publish what we learn and come back to the table with better questions. Curiosity is what brought us into being in 2020.
DDS in numbers.
Real figures on our track record, team and scientific backing.
They already trust us.
Companies that have chosen Deduce Data Solutions to apply artificial intelligence and machine learning to their processes.
Meet our applied AI science team.
Filter by area and meet the people who make up DDS’s applied AI science team.

Diego Tuccillo
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Biuse Casaponsa
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Steven Van Vaerenbergh
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Carlos Blanco
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Alberto Mora
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Santiago Velasco-Forero
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Jesús Vega
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Paula Monje
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Fernando Moreno
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Süleyman Gölbol
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Lina Albor
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Noemí Díaz
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Mónica Oñate
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Francisco Córdova
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Kacper Drążek
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Rubén Pastor
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Sulma Gutiérrez
inFrom 2020 to today.
Some of the awards and recognitions DDS’s applied AI science team has received since our founding in 2020.
Featured publications.
A selection of our founders’ most representative work in astrophysics, cosmology and machine learning, published in top-tier international journals.
Deep learning for studies of galaxy morphology
Improving galaxy morphologies for SDSS with Deep Learning
Planck 2018 results. IX. Constraints on primordial non-Gaussianity
Planck 2018 results. VII. Isotropy and Statistics of the CMB
Kernel recursive least-squares tracker for time-varying regression
Gaussian Processes for Nonlinear Signal Processing
How we work, how we celebrate.
A look at the team’s everyday life: office, events, awards and projects. Swipe to see them.
Want to see what AI can do for your business?
Book your exploratory meeting
A no-obligation meeting with our applied AI science team to assess where to apply AI and machine learning in your processes and where the real return lies. We reply within 48 hours.
Book an exploratory meeting