Wefarm harnesses artificial intelligence (AI) to empower human intelligence (HI). This means, all machine learning at Wefarm aims to supplement, augment, and identify the knowledge, skills, and achievements of our farmers. As we work towards connecting every smallholder farmer on earth, we’ll only get better at matching farmers with issues to farmers with the best solutions.
Our primary challenge is effectively connecting farmers who might be hundreds or thousands of miles apart and who rarely have internet access. That’s why Wefarm works over SMS – allowing anyone with a simple mobile phone to benefit from our network. Thanks to our unique machine learning technology, farmers don’t need English language proficiency to use Wefarm. Farmers can ask questions in any supported language and Wefarm's machine learning algorithms then match each question to the best suited responder.
Wefarm is already helping users overcome barriers to communication. It understands variation in spelling and punctuation as well as nuances in dialect and literacy. It even understands typos and works out what users mean to say. Our technology now give us the flexibility to easily add further languages as we move into new markets. While most data scientists in the world are focusing on the English-speaking western world, the data scientists at Wefarm are committed to using our skills to provide non-English speaking communities in emerging markets with better solutions to their every day problems.
Our Natural Language Processing (NLP) libraries are among the first in the world to have created models that identify three regional African languages – Kiswahili, Luganda, and Runyankore – in addition to English. This means, unlike with other platforms, Wefarm users don't need proficiency in English. This places Wefarm at the forefront of breaking down the language barriers to technological development and advancement.