benshi.ai

Reducing health inequalities with AI

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Did you know

Of the over 300,000 women who die annually during childbirth, 99% come from poorer countries. Errors in the diagnosis caused about 40% of these deaths

Such healthcare inequalities can be addressed
Did you know
Who we are

Who we are

benshi.ai uses the latest behavioral machine learning and personalization techniques to provide equitable healthcare

Our passionate team of scientists, engineers, and creative minds works closely with our partners to push the frontiers of AI and global health. We are a non-profit funded by the Bill & Melinda Gates Foundation

Vision

To be at the forefront in unleashing the power of data via cutting-edge AI to address global health inequities

Vision
Mission

Mission

Our mission is to enrich health outcomes in low income communities through advanced AI

Data science techniques, including reinforcement learning and causal inference, drive our operational machine learning platform. Our platform generates personalized recommendations to frontline workers and patients to improve health outcomes

Main pillars

Scalability

Scalability

With advanced distributed computing technology, our highly scalable machine learning pipeline can efficiently discover deep insights at an individual level from massive amounts of data

Ethical AI

Ethical AI

All stages of research, development and deployment are closely monitored to ensure our models are aligned with the end goal. We take special care to remove biases and bolster generalizability, following the autonomy, justice, beneficence and do-no-harm principles

Data Visualization

Data Visualization

An intuitive, meaningful and robust display of the results of machine learning models and behavioral analysis is crucial. Our results are visualized both at an individual and community level of varying sizes in order to understand collective behaviors

Security

Security

We utilize best-in-class cloud-based security offerings, safeguarding your data with AES encryption and securing your connection via a private networking infrastructure. In other words, both the data and the application are highly secure (GDPR & HIPPA compliant)