Outbreak Labs provides next‑generation pest and disease intelligence that combines real‑time satellite data, over one million data points and 99% global land coverage to forecast threats across key agricultural regions. Their platform offers standardized transmission modeling—from wind to human movement—and probabilistic analytics that let growers understand current risk, anticipate spread, and optimize resource allocation for interventions. This end‑to‑end solution supports decision‑making for crop protection and supply‑chain resilience.
Funding
Funding not disclosed
Founders
Product
Problem
Growers and agribusinesses often lack timely, accurate information about emerging pest and disease threats, leading to delayed responses and inefficient use of resources. Traditional forecasting tools rely on limited data sources and static models, which can miss rapid changes in pathogen spread and environmental conditions.
Solution
Outbreak Labs delivers a cloud‑based platform that aggregates over one million satellite‑derived data points covering 99% of global agricultural land to provide real‑time pest and disease intelligence. The system combines standardized transmission mechanisms for all major spread pathways—such as wind, trade, and human movement—with dynamic simulation and probabilistic forecasting models. Users can view the current threat status, run scenario analyses to anticipate future outbreaks, and receive decision‑support tools that quantify the expected impact of different interventions. By integrating biological risk with agronomic, environmental, and market data, the platform enables growers to allocate inputs, schedule treatments, and protect supply chains more efficiently.
Target Audience
Primary customers are commercial growers, agribusiness supply‑chain managers, and agricultural advisory services that require actionable pest and disease forecasts to protect crop yields.
Features
- Satellite‑derived data collection covering key agricultural regions across Africa, Asia, Europe, and the Americas
- Standardized transmission models that incorporate wind, human movement, and other spread vectors
- Proprietary outbreak engine (ForeSight) that simulates pathogen emergence, spread, and supply‑chain impact
- Real‑time threat dashboards with statistical frameworks for current status monitoring
- Probabilistic decision tools that estimate intervention outcomes and optimize resource allocation
- API‑based data export for integration with existing farm management and ERP systems