Empowering field teams to make the call with confidence.
CLEAR is the open infrastructure that turns scattered signals like earth observation, conflict feeds, field reports, and market data into insights field teams can act on, in the window before crisis impact peaks.
Conflict monitors, weather forecasts, displacement trackers: field teams have them all, in separate tabs, in different formats, none of them talk to each other. By the time someone pieces it together, the window for early action has closed. This gap is still measured in weeks.
Preparedness frameworks, anticipatory action protocols, early-warning strategies: the sector has a rich vocabulary for what needs to happen. It lacks the software to operationalize it. Good principles stall when there's no system to execute them.
Most humanitarian data systems are built for retrospective analysis. CLEAR is built for the moment before, providing actionable insights when there is still time to change the outcome.
96 platforms. Each working in isolation. CLEAR is the layer underneath, turning fragmented signals into a shared foundation the whole sector can draw from.
One pipeline. Satellite, field, social, climate, conflict. No duplication.
Normalized, deduplicated, validated. Every team works from the same ground truth.
Vulnerability indices, displacement trends, market scores. Shared, not siloed.
Sector-wide models, institutional memory, cross-org patterns. Surfaced as insight.
Open-source, federated, cloud-agnostic. No vendor lock-in.
Every org runs its own pipelines. CLEAR makes that shared infrastructure, so orgs invest in response, not plumbing.
Federated architecture. Orgs keep sovereignty. The shared brain learns from everyone without centralising anything.
Multi-source anomaly detection. Triggers automatically. Analysts verify.
Who's affected, where, which routes are open, how markets are holding. All in one screen.
SOPs, past responses, live field data. Clear picture. Suggested next steps.
Signal → assessment → targeting → cash. Closing the gap.
API-first. 4-layer architecture: ingestion, processing, governed storage, access. Every signal traceable. Every model explainable.
An umbrella API connecting the sector's existing platforms. Not another silo, but a shared substrate.
# Subscribe to verified signals for a country & thresholdcurl https://api.clearinitiative.io/v0/signals \-H "Authorization: Bearer $TOKEN" \-d 'country=SDN&min_severity=0.6&verified=true'# → Returns a stream of structured, traceable events{"event_id": "evt_sdn_blnile_20260513_0614","type": "displacement.surge","geo": { "admin1": "Blue Nile", "lat": 11.78, "lon": 34.35 },"severity": 0.92,"sources": ["sat:s2-l2a", "field:nrc-roseires", "social:gdelt-2.0"],"verified": true,"estimated_affected": 47000,"explain": "https://clearinitiative.io/evt/.../explain","feedback": { "community_signal": 0.81, "n_voices": 142 }}
Sudan is CLEAR's first operational context, one of the world's most acute and complex displacement crises.
Sub-national conflict, displacement, and field data aggregated in near real-time for NRC emergency teams.
“The challenge isn't data scarcity, it's delivering insights at the right time, to the right people, in a format they can trust and act upon.”CLEAR Initiative · Humanitarian Landscape Report 2025
Open ecosystem. If your org works in early action, crisis response, or humanitarian data, we want to build this with you.
