You may have heard the term "digital twin" in the context of industrial automation and robotics. It's worth being clear about how we use it — and what we don't offer.

A digital twin is a virtual replica of a physical asset or environment, updated in real time with data from the physical counterpart. In the broadest sense, it's a live, synchronized model of something real.

In our methodology, we build a physics-accurate simulation of your facility from point cloud scan data. That simulation is used to train your robot before deployment. It is a detailed, accurate model of your environment.

However, we want to be precise: the simulation model we build is a training environment — it is not a live operational digital twin that continues to mirror your facility in real time post-deployment. We build it to train the robot, not to sell it as a product.

We do not offer digital twin platforms, live facility monitoring dashboards, or connected simulation products as standalone services. If someone is selling you a "digital twin platform" as the primary deliverable, that's a different business model than ours.

Our deliverable is a working robot at your facility. The simulation is the means to that end — not the product itself.

Questions about our methodology? Walk through it with us →