AI · Data · Interaction

I help turn complex data and AI into tools and experiences people can actually understand and use.

For more than fifteen years I've been working at the intersection of software engineering, interaction design, and data science — helping companies and organisations go from a messy data problem to a working, usable product.

I think of myself as a generalist specialist: I can hold the technical complexity and the user experience in the same hand, which turns out to be a rare and useful combination.

Currently I lead the development team at Bestiario, working with international clients on data-driven innovation.

Daniele Pezzatini presenting at a workshop
Presenting during the European Hub for Civic Engagement workshop, Tallinn
01

From data problem to working prototype

The hardest part of building with AI or data isn't writing the code — it's figuring out what to build, and how it should behave in the hands of a real user. I work with teams who have a dataset, a model, or a vague but compelling idea, and help them turn it into a functional, demonstrable artifact. Something you can put in front of stakeholders or users, not just describe in a deck.

AI product design Interactive prototyping Data UX Full-stack development
02

Making data and AI systems interpretable and usable

Data systems and AI tools often produce results that are technically correct but practically opaque — hard to navigate, hard to trust, hard to act on. I design and build the interaction layer between complex data or AI capabilities and the people who need to use them: interfaces that let users query, explore, and make sense of outputs without needing to understand what's underneath.

This is where my HCI research background and engineering depth work together — and where most data and AI builders leave the most value on the table.

Data interaction design Interaction design for AI Open data portals Conversational interfaces
03

Senior technical perspective for data & AI product teams

For teams that have the talent but need someone senior who can hold the technical and human sides of a product together — challenging assumptions early, connecting the data or AI layer to the user experience, and helping navigate scope and direction.

Tech advisory AI product thinking HCI & UX research
K-Tool
2024–ongoing · Bestiario × ALC
AI product · Social innovation Led the design and development of an open-source platform for managing social innovation in complex systems, in collaboration with the Agirre Lehendakaria Center. K-Tool combines ecosystem mapping, qualitative analysis, and collective sensemaking — with AI integrated throughout to automatically map actors and relationships, extract themes from interviews, and let teams query the data conversationally. Deployed in real institutional contexts across Spain.
Nike
2022–2024 · Bestiario
AI product · Design tools Partnered with Nike Next to define and prototype the next generation of digital design tools for footwear and apparel. Explored how sensor data and body movement analysis could inform the design process, and how the creative process itself could be traced and visualised. Delivered a visual design system integrating 3D data, proprietary algorithms, and garment metadata — bridging computational capability and designer intuition.
Banco Santander
2018–ongoing · Bestiario
Data systems · Finance A five-year collaboration that began with building an internal interactive data visualisation platform — used by Santander teams across the organisation for data exploration and reporting — and grew into the public Digital Annual Review. The review was recognised as Best Online Annual Report at the Digital Impact Awards three years running (2021–2023).
OECD · UN University
2016–ongoing · Bestiario
Open data · Public sector Extended collaboration across multiple institutional projects: led development of the OECD Going Digital Data Explorer and a second open data portal; contributed to OECD.AI through a purpose-built visualisation library and expert UX reviews; led technical development of two open data portals for the UN University. Focused throughout on making complex institutional data navigable for non-specialist audiences.
Foodity
2024 · Bestiario · EU-funded
AI product · Health Led the proposal and pilot for a €150,000 EU-funded project using AI to support food-related decision making for cancer patients. Covered product definition, interaction design, and technical development end to end.
Data4Change
2018–2019
Civic tech · Social good Selected as a team member for a workshop in Amman to help civil society organisations create data-driven advocacy tools. Contributed to Al Bedaya, a digital toolkit supporting orphaned children in Jordan facing social stigma.

Have a data or AI project in mind? I'm open to collaborations with agencies, NGOs, and early-stage teams who need someone who can think and build.

Get in touch →

I take on collaborations alongside my work at Bestiario. I work best with agencies, NGOs, or early-stage teams who have a data or AI challenge and need someone who can both think through the problem and build something real — not just write a spec or produce a mockup.

I'm particularly well suited to projects where the technical and the human side need to be held together: where the question isn't only "can we build this?" but "how should this actually work for the person using it?"

I work best in collaboration with a visual designer — my focus is on interaction logic, data behaviour, and AI systems; theirs is on the visual language.

I hold an MSc in Computer Science Engineering from the University of Florence, where I also spent several years as a researcher at the Media Integration and Communication Center — working on human-computer interaction, machine learning, and interactive systems in cultural heritage, medicine, and smart cities.

I subsequently moved to the Interactive Technologies Group at Universitat Pompeu Fabra in Barcelona, before joining Bestiario as tech lead in 2017. Along the way I've published over 30 peer-reviewed papers, contributed to 8 European research projects, and taught in MA programmes at the University of Florence and IUAV Venice. Full publication list on Google Scholar →.

The best way to reach me is by email. I'm also on LinkedIn if you'd prefer to connect there first.

Daniele Pezzatini · Milan, Italy d.pezzatini@gmail.com