ClearSpan provides real‑time analytical tools that let funders, advisors, and NGOs detect early signals of program impact and flag underperformance before traditional evaluations are possible. By inputting a site’s location, expected impact date, and key contextual details, the platform screens for outcome changes—currently demonstrated in agricultural productivity—without adding reporting burden, enabling timely course correction during implementation.
Funding
Funding not disclosed
Founders
Product
Problem
Global development programs often lack timely, scalable insight into whether interventions are achieving intended outcomes, leading to delayed detection of underperformance and costly, slow field evaluations.
Solution
ClearSpan offers a real-time analytics platform that ingests minimal contextual inputs—such as site coordinates, expected impact dates, and relevant environmental data—to screen for early signals of program impact. By applying sector‑agnostic statistical models to independent data streams (e.g., satellite imagery for agricultural productivity), the system flags improvements or risks within weeks of an intervention. Users receive continuous updates without adding reporting burden to implementers, enabling funders, advisors, and NGOs to intervene promptly. The platform is designed to operate at a configurable false‑positive rate, currently detecting 5–15% changes in crop yields within 60 days at a 15–20% false‑positive level, and aims to expand to other sectors like energy, construction, and income by 2026.
Target Audience
Primary customers are international development funders, program advisors, and NGOs that manage large‑scale interventions and need rapid, data‑driven feedback during implementation.
Features
- Minimal data entry: only site location, impact timeline, and key contextual variables required
- Automated detection of early outcome signals using satellite‑derived and other independent data sources
- Configurable false‑positive thresholds to balance sensitivity and specificity
- Real‑time dashboards that highlight underperforming sites and emerging positive trends
- Sector‑agnostic analytical framework adaptable to agriculture, energy usage, construction, and income monitoring
- Plug‑and‑play integration that does not increase reporting workload for field staff