Building trustworthy planning and scheduling systems
What is a reliable AI system?
We deeply investigated the technical and algorithmic bases of such systems
The three-year mission
Our goal has been to provide new technical approaches for Planning & Scheduling
We have tested our findings
Created tools for future reliable P&S systems on real-world problems
Advanced AI Models
Leverage state-of-the-art machine learning algorithms for complex problem solving.
Real-time Collaboration
Work seamlessly with your team on AI-powered projects in real-time.
Intelligent Automation
Automate repetitive tasks and focus on what matters most with AI assistance.
Latest Updates
Watch the AI Challenge Award Ceremony
Relive the Award Ceremony and gain insights into how the winners turned a real-world logistics problem into a showcase of trustworthy, scalable, and explainable AI
Scientific Results - Publications
The body of scientific publications produced within Tupleryn is not only extensive, but also marked by significant quality and international recognition
Recognizing Excellence in the AI Challenge
We are proud to highlight the achievement of Bernardino Romera-Paredes and Kerry He from Hiverge, who won both the Belluga Challenge (Deterministic and Probabilistic)