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Digital twins of real environments for film, real time, simulation and analysis
We create spatially accurate, physically grounded digital environments from real locations, designed for production and reuse across pipelines. From cinematic production to real time engines and technical visualization.
We are currently developing and validating methodologies to extend our digital twins into simulation and system validation contexts.

What we do
At Dronícola we transform real world locations into high fidelity digital environments that can be trusted both visually and spatially.
Our work combines Photogrammetry, LiDAR and multi scale acquisition to capture terrain, structures and complex environments with measurable accuracy. The result is not a single use visual asset, but a production ready digital twin designed to operate across multiple workflows.
Who we work with
We work with organizations that need reliable digital environments for:
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Film, VFX and virtual production
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Video games and real time interactive worlds
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XR and immersive systems
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Technical visualization and analysis
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Documentation and long term preservation of complex environments

Why it matters
By grounding digital environments in measurable reality, we reduce production risk, extend asset lifespan and enable reuse across projects and platforms. Clients gain environments that are not only visually credible, but structurally dependable. This approach supports faster iteration, better collaboration between teams, and long term value from a single digital capture.


Use cases
Our digital twins are used in contexts where spatial reliability is essential:
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Simulation and system validation
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Industrial and technical XR applications
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Real time engines for interaction and advanced visualization
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Physically grounded environments for VFX and audiovisual production
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Documentation, analysis and long term preservation

Operating in complex and constrained environments
Dronícola specializes in the capture and digitization of environments that are difficult to access, structurally unstable, or spatially complex. Our work includes ruins, cliffs, confined interiors, collapsed structures, and large outdoor terrains, often under challenging conditions such as low light, limited access, or environmental constraints.
We apply adaptable acquisition strategies to ensure metric accuracy and data reliability at scale, from localized structures to extensive landscapes covering hundreds of hectares, without compromising precision or downstream usability.
