We build AI models that measure and forecast carbon storage from diverse crops—starting with
Enset, a climate-resilient food source. By helping communities quantify their impact, we unlock
access to climate finance and strengthen soil stewardship.
Plot-level sequestration estimates with confidence ranges
Our Crop AI platform blends micro-weather data, agroforestry knowledge, and real-time disease
detection to help farmers maximize yields while minimizing losses. With disaster-risk
forecasting integrated, communities can prepare earlier, act smarter, and recover faster.
Forecasts for yield, pests, and weather-related risks
On-device screening to stop crop diseases before they spread
AI-driven disaster alerts giving farmers time to respond
Digital Health
Proactive Care for People Left Out of Care
In regions where healthcare is out of reach, our models act as early warning systems.
We deliver predictive risk scores and chronic-care tracking for people in the
Global South—ensuring location, cost, or circumstance never blocks access to life
saving insights.
AI-driven prevention for high-burden diseases
Long-term tracking for chronic conditions
Local-language, low-data apps designed for underserved communities
AI As a Device
Turning Everyday Devices into Continuous Health Sensors
We transform smartphones and cameras into ambient monitors using rPPG
(camera-based pulse signals), rBCG(heartbeat micro-motion), and other frontier
modalities. With multimodal AI, we deliver continuous, contactless care—
anywhere, anytime.
Vital signs from a phone camera—no wearables required
Multimodal AI combining vision, time-series, and speech
Extensible with emerging tools: cough analysis, mic-based spirometry, portable eye screening, AI thermography