Mattia Zoccarato

Chiron

Italy

https://www.chiron.ai

https://www.linkedin.com/in/mattia-zoccarato/

English Italian

I have extensive experience supporting SMEs and stakeholders in the broader Business and Enterprise (BE) sector, particularly in the fields of Big Data, AI, and retail intelligence.
• As CTO of Pikeen.com, I am leading the development of an AI-powered sales assistant, transforming a PoC chatbot into a full-fledged solution for customer engagement and conversion optimization. This directly supports SMEs in enhancing their sales strategies.
• At Chiron, the company I founded, I have worked extensively with businesses on data-driven decision-making, AI adoption, and eCommerce performance optimization, including customer behavior analytics and missed revenue detection (through solutions like Sirio).
• My work includes mentoring and training: I am a lecturer in Big Data and AI for Confindustria Veneto Est, helping companies integrate data-driven technologies into their operations.
• Previously, I have also engaged with various startups and enterprises, guiding them through AI implementatio

Experiences

Customer experience: hybrid and digital integration, immersive technologies and interaction, personalisation and community building.

I design AI-driven customer experiences blending hybrid and digital touchpoints. As CTO of Pikeen.com and founder of Chiron, I develop solutions like Asia, an LLM orchestrator enabling personalized, immersive interactions across chat, email, and virtual environments. I use AI to analyze behavior, adapt content in real time, and support community building through dynamic segmentation and engagement prediction-creating seamless, emotionally resonant experiences for SMEs and retailers.

Other experiences

I am a Lead software developer with broad horizontal knowledge and proficiency in various languages and technologies. Since 2017 I'm a Machine Learning Engineer and I'have been enthusiast to work in the Data Science projects, so I'm curious on everything about Machine Learning and Data Engineering stacks. Strong interest in innovation and research, data mining, data science and deep learning technologies.