An AI solutions studio, always custom.

Samuel Saleh

Co-Founder · CEO

Samuel Saleh combines international business experience with a hands-on understanding of AI. He studied International Management at the University of Warwick and began his career in the European and Israeli technology ecosystem. In Paris, he spent time at Station F, working alongside early-stage founders in a startup incubator. He then gained experience in investment in Madrid and Tel Aviv, working across private investment and venture capital with a focus on technology, blockchain and artificial intelligence.

Wanting to understand the technology behind AI as well as the business around it, Samuel took an AI bootcamp at Le Wagon together with Taddeo.

After his studies, he joined Salesforce in Dublin, where he worked with companies exploring how technology could address their business needs. His role involved engaging with decision makers, understanding their challenges and identifying opportunities across areas including sales, marketing, service, analytics and integration.

That experience shaped the way he approaches AI today: starting with the business problem rather than the technology. After Salesforce, he began building custom AI applications around real business use cases at an SME in Antwerp, deliberately developing his technical skills alongside his commercial experience.

At TRAX AI, Samuel works across both sides of the business: understanding clients and identifying where AI can create value, then translating those opportunities into practical solutions alongside the technical team.

Taddeo Carpinelli

Co-Founder · CTO

Taddeo Carpinelli combines a background in management and data science with hands-on experience in AI engineering. While studying Management at the University of Warwick, he took an AI bootcamp at Le Wagon to understand the field better, and it sparked his interest: he started exploring the potential of large language models and building his first NLP applications. He then specialised in Advanced AI at IE University in Madrid.

After graduating, and before launching TRAX AI, Taddeo worked as an AI Engineer at an SME, where he developed AI solutions for business operations and gained hands-on experience with machine learning, large language models and API integrations.

At TRAX AI, Taddeo leads the technical development of each solution. His work starts with understanding how a client’s operations actually work, identifying where AI can create value, and determining what can realistically be automated. He then turns that analysis into a working solution, from AI models and integrations to deployment and ongoing monitoring.

His role is to make sure that what is technically possible becomes something that works reliably in the real world.

Rafi Goldberg

Junior AI engineer

Rafi studies economics and entrepreneurship with data science. At TRAX AI, the three meet: understanding a business, spotting where a solution creates value, and building it with data and AI.

Before TRAX AI, he led around thirty volunteer educators and organised three-week programmes for 150 participants, which taught him to break goals into tasks, give each one an owner and follow through.

Outside his studies, he teaches himself quantitative finance and brings the same rigour to AI. At TRAX AI, he works alongside Samuel and Taddeo on client projects and internal tools, keeping projects on track and building the practical pieces that make a solution usable day to day.

From their first projects at Warwick to founding TRAX

The two TRAX cofounders seated on chairs, smiling

Their collaboration started at the University of Warwick, in England, well before TRAX.

One of their first projects together was the university sailing society, which they took over after Covid disrupted its organisation. They rebuilt the team, recruited new members and secured sponsorship to get the society back on its feet. It was their first experience of building and running something together, and an early example of how naturally their different strengths complemented each other.

Their shared interest in technology developed alongside this experience. They explored emerging technologies together, starting with blockchain, and pursued further training in data science and AI. Over time, that interest became a professional focus.

Their paths then became more specialised. Taddeo went deeper into AI engineering and the technical side of building AI systems. Samuel developed his understanding of businesses, technology adoption and commercial opportunities, including through his experience at Salesforce.

TRAX brings these two paths back together.

Taddeo focuses on what can be built and how to make it work reliably. Samuel focuses on what a business is trying to achieve and where AI can create practical value.

Together, they approach the same question from two complementary perspectives: what can AI actually change inside a business, and how do you make it work?

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