At Dubblett, we transform raw information into insights that guide smarter decisions and resilient planning, so that we can turn complexity into clarity. We are precise, dedicated, and human at our core. Behind every model and every insight is a team dedicated to delivering perception, empowering decisions and driving impact.
We work closely with our customers to adapt our solutions to their unique needs, ensuring our products are directly aligned with their goals, challenges, and vision for the future.
Dubblett Insight converts aerial images into precise, vectorized data.
Dubblett Twin turns cities into digital twins you can analyze, plan and act upon.
Complex spatial data holds more than it reveals. Dubblett Insight transforms land cover data into precise vectorized forms, segmenting and classifying the environment with unparalleled accuracy. From this process, meaningful structures emerge. How areas take shape, how elements relate and where patterns form. The result is actionable insight, presented as structured, high resolution outputs designed to support confident decisions.
Cities are complex, constantly shifting systems. Dubblett Twin recreates urban environments at scale, generating detailed digital twins of entire districts or whole cities. By translating real world structures and spatial relationships into a dynamic virtual model, it allows you to explore, analyze and understand the environment in ways previously impossible. With Dubblett Twin, the city becomes intelligible, a living framework you can study, plan within, and act upon.
Dubblett World Fabric generates synthetic, procedural worlds that expand the scope of available data. It produces detailed virtual environments with complex structures, terrain and patterns, designed to reflect real-world variability at scale. These procedural worlds can be used to explore, analyze or simulate large scale scenarios in a controlled yet diverse way, providing a versatile foundation for insights and experimentation.
DubbNet Engine is our core neural network, designed to process and interpret complex spatial data at scale. It performs segmentation, classification, and analysis, turning raw inputs into structured outputs that reveal patterns and relationships. The engine is built to handle large datasets efficiently, adapting to diverse scenarios and providing a consistent foundation for the products and processes that rely on it.
Dubblett was born from research at Linköping University and the Visualization Center C in Norrköping, Sweden. With roots in urban planning and advanced algorithmic design, we operate across the full spectrum of societal development. From planning and design to analysis and sustainable growth.
Through the fusion of artificial intelligence and advanced visualization, we frame the decision making foundations for tomorrow’s sustainable and resilient communities. The structures and patterns are already there, our work lies in shaping perspective and precision for those who guide the world forward.
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