Sustainable Agentic Intelligence Lab (SAIL)
Pioneering responsible AI systems that act autonomously while prioritising environmental sustainability and societal benefit. Where cutting-edge agentic AI meets sustainable innovation.
Our foundation: three core pillars
VITO's Sustainable Agentic Intelligence Lab (SAIL) is a frontier lab organised around three interconnected research areas that together deliver practical AI solutions for industry and society.

Agentic AI
Multi-agent systems that can reason, act, and coordinate autonomously using open standards.
- Autonomous reasoning and planning
- Multi-agent coordination
- Open standards integration

Context Engineering
Structuring digital environments with appropriate guardrails, validation, and domain knowledge.
- Guardrails and validation
- Domain knowledge integration
- Structured digital environments

Scientific Machine Learning
Physics-informed models and digital twins that combine simulation with data-driven approaches.
- Physics-informed neural networks
- Digital twin development
- Hybrid simulation methods
What We Deliver
Practical tools and frameworks that translate cutting-edge research into real-world impact for customers and partners across Flanders and Europe.
Architectural Patterns & Components
Reusable software components and design patterns for building robust AI systems.
Domain-specific Benchmarks
Evaluation frameworks for context-relevant AI tailored to real-world applications.
Validation Frameworks
Comprehensive testing and validation tools ensuring reliable AI deployment.
Energy-Aware Approaches
Sustainable AI principles integrated into every solution we develop.
Enabling Impact Across Sectors
Supporting the AI transition for organisations of all sizes.
Industry
Accelerate innovation with production-ready AI solutions
Government
Deploy AI for more effective public services
SMEs
Realistic pathways to AI adoption
Our mission: Building the Future of Physical AI
VITO's Sustainable Agentic Intelligence Lab brings together world class researchers, engineers, and domain experts to build AI that operates in and improves the physical world. Our goal is to move beyond purely digital systems toward intelligent agents that interact with real environments, infrastructure, and ecosystems. We develop AI that is powerful, sustainable, and aligned with human values, with environmental responsibility at the core of everything we design.
- Impact-Driven Research: Every project is designed to create measurable positive impact on sustainability goals
- Collaborative Approach: Working with industry partners, academia, and policy makers to accelerate adoption
- Open Innovation: Sharing knowledge through publications, open-source tools, and community engagement
Would you like to know more?
Curious about how VITO's AI capabilities can help your organisation? Contact Shane today.