Multi-modal AI Lab
ENHANCED HEALTH AND SAFETY
in high risk and knowledge-intensive domains
In collaboration with
the AI for Engineering Sciences course
of the University of Oxford
MULTI-MODAL AI & EMBODIED AGENTS
at the intersection of
Digital Twins, VR simulations, Generative AI and Cognitive Robotics
Transforming Health & Safety Through Multimodal AI
We pioneer next-generation solutions that combine language, vision, sensor data, and simulation to enhance safety and decision-making in complex, high-risk environments. From construction to utilities and industrial operations, we build intelligent systems that understand and model real-world conditions, helping organizations reduce risk, train more effectively, and act with confidence.
From Knowledge Capture to Real-Time Assistance
We automate the creation of domain-specific knowledge models—such as digital knowledge graphs, training content, and procedural checklists—directly from existing documentation, expert input, and on-site imagery. These structured representations power downstream services like VR-based simulations, real-time monitoring assistants, and learning copilots, ensuring that knowledge flows dynamically to where it’s needed most.
Smarter Training for Safer Environments
High-risk, knowledge-intensive domains demand more than static training—they require systems that adapt to real-world complexity. By combining immersive VR environments with AI-driven customization, we enable experiential learning that mirrors on-the-job scenarios while adjusting to user proficiency, risk context, and task goals. Our systems don’t just simulate—they assist, offering contextual prompts, procedural guidance, and performance feedback. This integrated approach boosts retention, builds competence, and supports ongoing learning in safety-critical settings.
Our approach combines deep technical expertise with strong industry collaborations, integrating academic rigor with industry adaptability.
Our partnership with the Digital Twins Course of the University of Oxford places us in a unique position to bridge cutting-edge research with practical applications.
International network of experts
Facilitating access to academic researchers and industry experts
Longstanding Italian tradition
Innovation, craftsmanship, and design. Italy is a strategic hub for knowledge-intensive industries such as manufacturing, energy, industrial production, built environments and cultural heritage restoration and preservation
University of Oxford methodology
Our methodology is developed within the Oxford University Digital Twins course, in collaboration with its team and its students
Vinci Research 