VitaSynora puts precision intelligence in the hands of smallholder farmers — detecting disease before it spreads, predicting yields before they collapse, and optimizing every drop of water before it's wasted. Real AI. Real results. For every acre.
Agriculture faces a compounding crisis no single technology has solved — until now.
Up to 80% yield gap in emerging markets
Farmers apply inputs at wrong rates, wasting money and yield simultaneously. Sub-Saharan Africa and South Asia are hardest hit.
70% of global freshwater used
Agriculture is the largest consumer of freshwater, contributing 10-12% of global greenhouse gas emissions through inefficient practices.
Extreme weather disruptions
Unpredictable weather is destroying historical farming calendars, spawning new pest strains and accelerating disease spread.
57+ average EU farmer age
Rural migration and an aging farming population demand massive automation — or yield loss is inevitable.
33% of all food produced is lost
A staggering one-third of global food production is wasted before reaching the table due to poor forecasting and logistics.
VitaSynora brings commercial-grade AI to smallholdings and cooperatives — turning raw data from soil, sky, and sensors into decisive, profitable action.
Field 4 - Maize Health: Optimal
Yield Forecast: +18%
Real-time inference on millions of field data points. We process satellite imagery at scale and run complex sensor-fusion models to predict outcomes before they happen.
Built on infrastructure designed to scale from 10 farms to 10 million.
We use AWS to host backend APIs, store user and product data securely, run AI workflows, manage authentication, deploy scalable databases, serve frontend assets, monitor performance, and support future machine learning features through Amazon Bedrock and related AWS AI services.
We plan to use NVIDIA technologies to accelerate AI model development, optimize inference, process visual/audio/data workloads, and improve real-time AI performance as the platform scales.
Six core engines working together to de-risk agriculture and drive profitability.
92%+ accuracy across 40+ crop types. Mobile-first and fully offline capable for remote rural areas.
Sensor-driven scheduling that adapts to hyper-local weather, delivering up to 50% water savings.
Highly accurate harvest forecasting 6-8 weeks in advance, enabling better forward-contract negotiation.
Seamless integration of drone scouting flights and automated satellite pass analysis.
NLP-driven price forecasting analyzing global commodities and local market fluctuations.
Built-in tools for shared hardware utilization — cooperatives can fractionalize drone and sensor costs.
A frictionless journey designed for real-world farming conditions.
Deploy plug-and-play soil sensors or upload field boundaries. The system syncs automatically with historical satellite data.
Models process continuous streams from satellites, sensors, and weather stations — identifying anomalies invisible to the human eye.
Receive contextual, highly specific alerts on your mobile — even over SMS/USSD for low-bandwidth regions.
Trigger automated irrigation valves, dispatch targeted disease interventions, execute optimal harvest timing.
Analyze yield improvements and resource efficiency metrics in the dashboard to plan the next season.
Be among the first farmers and agribusinesses to access AI-powered precision agriculture.
Agricultural scientists, machine learning engineers, and data architects united by a single conviction.
Founder & CEO
15 years at the FAO studying smallholder agriculture in West Africa. Doctoral research at Wageningen University on technology adoption in subsistence farming — the same problem VitaSynora is built to solve.
Chief Technology Officer
Led machine learning infrastructure teams at Google Brain for 6 years, specializing in deploying large-scale models to edge devices — a challenge he now applies to VitaSynora's offline-first architecture.