We are a private agro-industry data analytics research company operating in Africa headquartered in Rwanda. We are on a mission to build data analytics models for collection, cleaning, processing, monitoring, prediction, and activity actuation. At the end-user, we enhance data-based decisions – such as knowing when and how to increase quantity and quality, while sustainably improving return on investment. Starting out with the African Tea Industry which earns Africa over $12 billion annually from 2 million metric tons, we gather and use tea production data captured digitally second after second in real-time, to statistically offer monitoring, predictive capabilities, actuation of ambient processing, and to enable over 10 Million tea small-scale holder farmers, and over 400 tea factories in Africa to close gaps in persistent variations in tea quality, low prices, revenue uncertainties, reduce their carbon footprint, and emission challenges through energy use optimization.
Reach out to us for a proposal to leverage our real-time data analytics research.
Let's ensure that there is efficient traceability, prediction, and actuation in every step of your agro-production
We are a private agro-industry data analytics research company operating in Africa headquartered in Rwanda. We are on a mission to build data analytics models for collection, cleaning, processing, monitoring, prediction, and activity actuation. At the end-user, we enhance data-based decisions – such as knowing when and how to increase quantity and quality, while sustainably improving return on investment. Starting out with the African Tea Industry which earns Africa over $12 billion annually from 2 million metric tons, we gather and use tea production data captured digitally second after second in real-time, to statistically offer monitoring, predictive capabilities, actuation of ambient processing, and to enable over 10 Million tea small-scale holder farmers, and over 400 tea factories in Africa to close gaps in persistent variations in tea quality, low prices, revenue uncertainties, reduce their carbon footprint, and emission challenges through energy use optimization.