Post-cyclone risk mapping: Following Cyclone Ditwah, we use satellite data to map flood and landslide risks. This analysis helps national authorities assess the scale of the damage and coordinate safe, effective recovery plans.

Land recovery and river monitoring: We deploy two specialized monitoring tools to support Afghanistan’s recovery. First, radar technology tracks how land is utilized after demining to measure the impact of clearance. Second, satellite analytics track decades of river changes, helping planners identify flood risks and build infrastructure in safer locations.

Humanitarian mine action information system: This national digital platform was developed for our partner UNDP and supports non-technical survey (NTS) and explosive ordnance risk education (EORE) by organizing and mapping mine action data across Ukraine. By standardizing reporting and visualizing contamination, risk, and community outreach activities, it helps national authorities and partners prioritize high-risk areas, coordinate operations, and protect civilians during ongoing conflict and recovery efforts.

Construction and rubble monitoring: Following Hurricane Melissa, this AI tool helps manage the cleanup and rebuilding process. It detects structural problems in buildings and estimates the volume of rubble at remote sites, ensuring reconstruction is safe and efficient.

SDG Data Fabric: Developed with the UN Innovation Network, this platform uses blockchain technology to verify progress on the Sustainable Development Goals. It allows countries and agencies to share trusted data directly from their own systems, ensuring accuracy without the need to build a central database.

UNOPS disaster response platform: Developed in partnership with the Massachusetts Institute of Technology, this platform uses AI and satellite imagery to detect disaster damage from space. By identifying exactly where help is needed most, it guides rapid emergency relief and helps communities plan their long-term rebuilding efforts.

Flood exposure analytics: This tool uses AI to predict and analyze flood risks across vulnerable regions. By identifying which areas are most exposed, it helps communities create effective evacuation plans and prepare for emergencies before disaster strikes.

Forecasting road safety: Using satellite analysis, we predict where roads are likely to fail before the rainy season begins. This early warning system allows teams to reinforce weak spots ahead of time, preventing washouts and keeping communities connected.

Automated damage assessment: Using AI and satellite imagery, this system maps the destruction of vital infrastructure, including hospitals, schools and power plants. It measures the scale of damage to help partners identify the most urgent recovery needs and plan reconstruction efficiently.

Counter-improvised explosive device information management: In partnership with the UN and the European Union, this initiative equips the Togolese Armed Forces with smart tracking tools to counter improvised explosive devices. Real-time AI analysis helps predict threats before they happen, improving security and protecting civilian lives.

UNMAS Global Information Management System: This global digital platform helps track and map explosive hazards in conflict zones. By organizing vital data, it guides teams on where to clear mines first, making operations in high-risk areas like Gaza, Syria, and Afghanistan safer and more effective.

Automated damage mapping: Our system automatically maps the destruction of vital infrastructure, including hospitals, schools and energy grids. It measures the full scale of damage to provide a clear, data-driven picture of the crisis on the ground.

Post-conflict recovery monitoring: This tool uses AI to track the recovery of both infrastructure and nature in former conflict zones. It detects new construction and vegetation growth, measuring the physical progress of peace and development across the country.

Earth observation intelligence system: Partnering with Google and the Spatial Informatics Group, this satellite-to-decision system turns satellite imagery into clear, actionable answers. AI-driven tools analyze the Earth from above to assess damage, monitor the environment, and plan infrastructure, helping leaders make smarter decisions in crisis zones.

Hurricane damage assessment: Following Hurricane Beryl, we deployed AI and satellite tools to map the impact across Grenada and Saint Vincent and the Grenadines. By measuring the damage to homes and public infrastructure, this system provided the critical data needed to guide national recovery plans.