Built to sense, simulate, and decide, from buried infrastructure to orbital traffic. Sustainable Exploration fuses geophysics, AI, autonomy, and sustainability into a modular decision-support engine. Unlock real-time insights, cross-domain coordination, and planetary-scale resilience.
From underground cables to orbital logistics, our platform fuses physical sensing and digital decision intelligence into a cross-domain infrastructure OS.
Our exploration stack is seeks to address six mission-critical questions. Each question defines a key pillar of Sustainable Exploration, and each of our solutions draw from the integrated capabilities of the Sustainable Exploration Intelligence platform. The questions:
Resource Exploration & Mapping Layer
Predictive geospatial analytics for discovering mineral deposits, geothermal reservoirs, and exploration-worthy sites. Supports mission targeting on Earth, the Moon, and oceanic frontiers.
Modules:
Operational Sustainability Layer
Optimize siting, storage, and infrastructure with predictive energy and ESG analytics. Supports battery placement, grid planning, and sustainable infrastructure on Earth and beyond.
Modules:
Environmental Hazards & Resilience Layer
Forecast climate, atmospheric, and orbital hazards. Evaluate site risk and resilience for exploration, investment, and development across changing environments.
Modules:
Autonomy, Logistics & Mission Execution Layer
Deliver autonomy-aware insights for rovers, drones, and multi-agent operations. Optimize movement, routing, and communications across difficult terrain and orbital environments.
Modules:
Frontier Expansion & System Orchestration Layer
Enable unified control and coordination across multi-domain operations. Support mission architecture, lunar development, and multi-party planning with intelligent orchestration.
Modules:
Governance & Traceability Layer
Ensure data integrity, model provenance, and mission accountability with blockchain-secured governance. Track decisions, models, and telemetry across stakeholders.
Modules:
Remote sensing + geophysics to detect buried voids, mineralization, aquifers, or geothermal zones.
Machine learning models forecast risk, resource potential, and operational viability.
Combines satellite, drone, IoT, spectral, terrain, and geophysical data into coherent 3D intelligence models.
Create digital replicas of terrain, infrastructure, and operational zones to enable real-time simulation, planning, and predictive maintenance.
Direct robotic swarms using terrain, risk, and mission constraints.
Map, validate, and optimize terrestrial and orbital communication layers with real-time signal intelligence.
Cloud/edge modularity enables deployment in disconnected or low-latency environments.
ESG and biodiversity overlays built into every scoring, siting, or mission decision.
A remote sensing-to-robotics workflow that fuses terrain, energy, and ESG intelligence to accelerate clean energy deployment.
Multispectral, elevation, and thermal data is fused into a terrain-aware model of the operational zone.
Machine learning ranks target zones based on fault density, geothermal gradient, and site accessibility.
Cultural, biodiversity, and water resource overlays restrict development in high-sensitivity zones.
Robots or drones are tasked to validate targets, navigating terrain via autonomous routing.
The platform finalizes site selection based on technical viability, ESG scoring, and mission risk thresholds.
Accelerate geothermal, solar, and battery siting.
Safer, smarter infrastructure from space to subsurface.
Predictive risk analytics for extreme environments.
Biodiversity-aware infrastructure design.
We offer modular APIs and white-labeled platform components for:
Interested in licensing modules or deploying across your AOIs?
Let’s talk.
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