Pavel Entin
CEO

SynPlanet offers an AI-powered platform that creates a real-time digital twin of Earth by unifying fragmented geospatial data. This cohesive 3D environment provides governments and enterprises with spatial context for advanced analytics, predictive modeling, and operational management of complex systems.
CEO
Fragmented and siloed geospatial data hinders effective analysis and real-time decision-making for complex systems such as urban environments and resource management. This lack of unified spatial context limits the ability to accurately model, predict, and manage critical infrastructure and natural resources.
SynPlanet provides an AI-powered platform that constructs a real-time digital twin of Earth by integrating disparate geospatial datasets into a cohesive, explorable 3D environment. This unified digital representation enables governments and enterprises to gain spatial context for advanced analytics, predictive modeling, and operational management. The platform offers a single interface for comprehensive data access and real-time control, facilitating informed decision-making across various domains. SynTerra, the core of the ecosystem, renders a persistent, high-fidelity Earth model that serves as the foundation for simulations and spatial AI applications.
Primary customers include government agencies, enterprises in sectors such as urban planning, infrastructure management, resource allocation, and climate research, who require advanced spatial analytics and simulation capabilities.