Operations & Physical AI
Spaces to design, data to make sense of, scenarios to simulate. We combine 3D environments and interaction to bring decisions closer to how work happens.
Let’s discuss your operations
Trenitalia · Inside the digital twin Test a new space. Before changing the real one.
Compare layouts, routes and work configurations in a shared 3D environment. Designers and operators can test activities and discuss alternatives before the physical intervention.
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Poste ItalianeLogistics spaces to configure and test together.Build the environment in which a robot can learn.
We design simulation environments to explore tasks, constraints and interactions before physical testing. 3D models, scenarios and variations provide a starting point for robot training.
Our contribution starts with the simulation environment. With businesses and specialist partners, we define models, interactions and criteria for an initial Physical AI project.
Let’s explore your scenarioSee the system. Explore what could change.
Make assets, operational information and alternative scenarios readable in a single 3D interface. A shared view to understand system status and support decisions.
Explore the projectTrenitaliaThe tactical dashboard: 3D visualisation and what-if simulation.Bring digital content to the point of work.
Display models and information in the workspace. Help people understand complex structures, share a point of view and work with contextual digital content.
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ArtinessAnatomical models and clinical collaboration in mixed reality.Our platform
Reflectis is our platform for creating interactive environments where people, spaces and content can work together. A common foundation for developing simulations and collaborative experiences around your operational needs.
People, activities, constraints and systems: identify where an interactive representation can become useful.
Define the scenario, models and data. Bring in the specialist expertise that the context requires.
Test the solution with its users and agree how to interpret the findings before extending its scope.
Before we start
Floor plans, CAD or 3D models, activity descriptions and available data. In our first conversation, we distinguish what exists from what needs to be reconstructed.
That depends on the decision it needs to support. Layout simulation can start from static data; a monitoring system requires agreed sources, update frequencies and integrations.
We start from the task and environment to represent. Physical models, sensors, scenarios and validation criteria need to be defined with partners who know the robotic system.
Yes. We shape each contribution around the goal: 3D experience, data, business systems, hardware and domain knowledge.
A layout, a process, a difficult decision. Tell us where you want to start.
Let’s discuss your operations