This AI for Early Warning Systems Solutions Catalogue is a living inventory of AI-enabled tools, services, and methods that support the four Early Warning for All (EW4All) pillars across hazards and regions. It is designed to bridge AI innovators and solution implementers, helping governments, practitioners, and partners quickly discover relevant, field-ready capabilities.

The catalogue is curated by the AI Group of the UN Early Warning for All initiative, in collaboration with partners across the EW4All ecosystem. Entries include solutions at different levels of maturity, from early-stage pilots to operational, commercial offerings, to reflect the rapidly evolving AI landscape.

How to use this catalogue

• Browse and filter: Use the filters at the top of the page (Pillar, Innovation Type, Technical Readiness, Application Context, Hazard) to narrow down solutions that match your needs. You can combine multiple filters to focus on a specific use case or context.
• Search by keywords: Use the search box to find solutions by name, organization, technology, geography, or other keywords. This is useful when you already know a project, partner, or technical approach you want to explore.
• Open solution pages: Click “Learn More” on any solution card to view details such as description, implementing partners, geography, hazards addressed, innovation type, and contact or documentation links.
• Contribute solutions: If you have an AI solution that supports EW4All, use the “Submit Your Solution” form to propose it for inclusion in the catalogue.

What the pillars mean

Each solution is tagged to one or more EW4All pillars to show where it primarily contributes within an end-to-end early warning and early action system:

• Risk Knowledge: Hazard, exposure, and vulnerability analysis; risk modelling and mapping; impact forecasting and risk profiling.
• Monitoring: Real-time or near-real-time monitoring of hazards and impacts using sensors, satellites, models, and data fusion.
• Communication: Alerts, warnings, and information delivery channels, including translation, personalization, and last-mile communication.
• Preparedness: Early action planning, scenario analysis, training, drills, and decision-support tools that help actors act on early warnings.

Solution maturity / Technical Readiness (TRL)

The “Technical Readiness” tag provides a high-level indication of how mature a solution is, aligned with common Technology Readiness Level (TRL) groupings. In simple terms:

• Conceptual / Proof of Concept (1-4): Early-stage ideas and prototypes tested in limited or laboratory settings.
• Piloted (5-7): Solutions tested with users in real-world or operational-like conditions, often in specific projects or geographies.
• Operational / Commercialized (8-9): Solutions that are deployed, maintained, and used at scale in operational or commercial environments.

Key definitions

Pillars

The four EW4All pillars (Risk Knowledge, Monitoring, Communication, Preparedness) describe where in the early warning and early action value chain a solution is primarily applied.

Innovation Type

Describes how the solution is delivered, for example, as a tool (software or platform), service, methodology, publication, or combination of these.

Hazard tags

Indicate the hazards a solution addresses (for example, flood, cyclone, heatwave, wildfire, multi-hazard). Multi-hazard solutions can be applied across several hazard types or support generic early warning functions.

Country vs. regional

“Country” solutions are deployed or piloted in one or more specific countries; “regional” solutions operate across multiple countries within a region or basin (for example, transboundary river basins, regional economic communities), or offer global coverage with regional applications.

This catalogue is intended as a starting point for discovery and matchmaking, not an endorsement of any specific product. Users should assess suitability, risks, and safeguards in line with their own governance, data protection, and AI ethics frameworks.