Atlas

Organizations often lack consistent, decision-ready information about how their assets, operations, and supply chains affect nature. Atlas closes this gap by combining ecological science, satellite imagery, multimodal research-grade data, and AI-powered analysis within a unified, time-aware platform. Its space-enabled inputs include Earth-observation imagery and hyperspectral observations associated with Lemu Nge, Lemu’s biodiversity-focused satellite.

• Nature indicators: Provides 30-plus indicators across eight biosphere dimensions, including named metrics such as LemuRank, Biorarity, and CarbonFlux.
• Spatial and temporal monitoring: Measures ecological conditions and changes across customer-defined zones and over time.
• Risk and impact intelligence: Identifies conservation value, ecological risk, biodiversity conditions, and carbon dynamics for operational and regulatory decisions.
• Multimodal data fusion: Combines proprietary, public, satellite-derived, and client-specific information in the Spacetime data structure.
• Contextual analysis: Transforms observations and indicators into validated, up-to-date intelligence that teams can use for planning and sustainability reporting.

Atlas is distinctive because it treats nature as an interconnected, time-dependent system rather than reducing it to a single score. It has progressed beyond experimentation, with deployment across approximately 500,000 hectares and use by commercial, governmental, forestry, mining, infrastructure, financial, and conservation organizations.