Transforming Vector Surveillance. Strengthening Global Health.
We build AI-powered technologies and scalable surveillance systems that help countries detect, monitor, and respond to vector-borne disease threats.
Proposed positioning language · From collection to identification, intelligence, and action.
Confidence 94.2% · 17 sec processing
Vector-borne diseases demand better intelligence.
More than half the world's population is at risk from vector-borne diseases. Yet the surveillance systems meant to track mosquitoes remain slow, fragmented, and hard to scale.
Global burden
WHO estimates ~249M malaria cases in 2022 across 85 endemic countries, plus rising dengue, chikungunya and Zika threats. Source: WHO World Malaria Report 2023.
Expert bottleneck
Conventional mosquito identification requires scarce entomological expertise, microscopes, and lab time — unavailable in many districts.
Fragmented data
Paper forms, delayed reporting, and incompatible systems mean decisions are made on incomplete or outdated data.
Cost & scale
Expensive equipment and labor-intensive workflows limit how many sites and households routine surveillance can cover.
Capture → Understand → Act
We combine field-ready technology, data intelligence, and country-owned implementation capacity.
1 · Capture
Accessible imaging hardware, offline mobile tools, and standardized collection workflows that work in low-resource, low-connectivity settings.
2 · Understand
On-device AI for species group, sex and abdominal status (where validated), plus dashboards, maps and quality monitoring via VectorInsight.
3 · Act
Training, local manufacturing, system integration and decision support that help programs move from reactive response to proactive management.
From collection to intelligence to action.
VectorCam
AI-powered mosquito surveillance: Android app + macro imaging + on-device AI + offline-first data.
Explore VectorCam →VectorInsight
Web intelligence layer: dashboards, maps, trends, data-quality and district reporting.
Explore VectorInsight →VectorPal
Digital identification support combining keys, morphology and computational guidance.
Explore VectorPal →VectorCatch
Next-generation collection & trapping research for more efficient field sampling.
Explore VectorCatch →Field-tested in Uganda. Built for scrutiny.
Pragmatic cluster randomized controlled trial, Adjumani & Mayuge districts, 2023–2024 · 48 village health team members · 240 households. Figures provisional pending final manuscript.
Study-specific results are not universal product performance. See Research & Impact for methods, limitations, and publications.
Designed with programs, not just for them.
- Offline-first: full field workflow without connectivity; sync when available.
- Local training: training-of-trainers, district rollout, community participation.
- Local manufacturing: low-cost imaging attachments produced closer to use.
- System integration: centralized data management & public-health information system compatibility.
- Country ownership: government-led, sustainable surveillance infrastructure as the goal.
Working across Africa, Asia & Latin America.
Status categories: Research · Pilot · Active Implementation · Planned · Completed. Presence ≠ national-scale deployment.
Science and delivery take a network.
Placeholder categories — final logos displayed only with authorization. VCI originated from biomedical engineering & global health innovation work at Johns Hopkins University; this does not imply official affiliation.
[Placeholder] Universities & research institutes collaborating on validation and publications.
[Placeholder] National programs, district health teams & NGOs supporting field deployment.
[Placeholder] Philanthropies & global health funders. No awards or amounts listed without confirmation.
[Placeholder] Hardware, software & local manufacturing collaborators.
News & Insights
Uganda cRCT: training 48 VHTs across 240 households
How district-led rollout and training-of-trainers supported the 2023–24 evaluation. Manuscript in preparation.
Read more →VectorCam system overview v1.0
Hardware, app, AI validation approach, offline sync and data QA — downloadable brief.
View resources →Expanding pilots: Ghana, Kenya, Cameroon
New and continuing collaborations; status and partners confirmed on country profiles.
See programs →Help Build the Future of Vector Surveillance.
Distinct pathways for programs, researchers, implementers, and funders.
🏛 National Programs
Strengthen surveillance capacity, training & integration.
Discuss implementation →