01 / ABOUT PRAEDIXA

Restaurants deserve tools that match their reality.

Help restaurant operators anticipate demand, understand performance and manage operations. Without adding more tools.

Meet the team
Group portrait of Praedixa’s three co-founders
A shared project. Complementary perspectives.THE CO-FOUNDERS

02 / OUR STARTING POINT

Everything connects. Let’s start there.

In a restaurant, decisions connect. The tools often don’t.

Sales guide purchasing. Recipes define requirements. Activity sets the pace for teams. Yet this information often lives in separate systems. Bringing it together takes time, every day.

We created Praedixa to connect what already works together in restaurants. Our approach starts with operations: understanding the connections, making sense of the data and building a product that helps people decide.

  • START WITH REALITY. CONNECT WHAT MATTERS.

03 / THE CO-FOUNDERS

Three backgrounds. One shared belief.

Data, restaurant operations and software, brought together in one project.

Portrait of Steven
Vision & data

Steven

Co-founder · CEO & Machine Learning Scientist

Steven leads Praedixa’s product vision. His expertise in data, demand forecasting and artificial intelligence serves one ambition: making anticipation useful for everyday decisions.

Portrait of Baptiste
Operations & relationships

Baptiste

Co-founder · COO & business development

Baptiste connects with restaurant operators. He listens to their needs, supports conversations with teams and leads Praedixa’s business development, close to their operational realities.

Portrait of Jérôme
Operations & engineering

Jérôme

Co-founder · Full-stack developer

A full-stack developer, Jérôme brings 15 years of restaurant experience. He builds the software and turns operational needs into a practical product, using first-hand experience to guide his decisions.

04 / WITH RESTAURANT TEAMS

Everyday work as our point of reference.

Praedixa is built through conversations with professionals. Understanding a day of service, listening to teams and testing our choices against their constraints guide the product.

From initial pilots to user feedback, our method stays the same: test in real conditions, learn and improve.

  • LISTEN
  • TEST
  • IMPROVE
Read the cookie policy (French)