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Open-source Data collection, screening, analysis and Non-Communicable Disease (NCD) risk assessment

10 years NCD risk assessments in under 1 minute
using powerful AI models.
Accessible to Everyone, Everywhere in Africa

Trusted by

child healthhuman servicehealth tech hubjicanovartisoyo pacesetterswiss tphbasel unitimbuktoobasel uni

Our LLM NCD AI models are developed with Global guidelines like AFRICA CDC, WHO & UNICEF

Easy to Develop & Use

Easy to Develop & Use templates/forms.

Collaborative Tool

Collaborative Tool and Multiple permission levels

Health Assessment

Assess children's health metrics, including NCD risk, nutrition, Gender based health and overall well-being

Audio Support

Supports Audio recording & translation in local languages for Focus Group Discussion and Interviews

Offline Data Collection

Offline Data Collection for low resource setting

Open Health Data

Open Health Data Transparency: Donors, Implementers, and Teams

Best for Personal Use, Private Companies, Non Profit Organizations, Research Institutes and Government

Use AI-driven models like WHO Child Growth Standards, WHO CVD Risk and FINDRISC for accurate insights on CVDs and Diabetes.

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Medical screening

School based screening, child health, household screening NCD, Physical assessment, anthropometry, social diversity scoring e.t.c

Scrinar is built specifically for challenging environments in Health data collection ,Survey, Research ,Health Interventions, Clinical Trials and Analysis.