Bridging soil fertility science with artificial intelligence.
Prelyct AgriTech is led by a unique cross-disciplinary team of soil agronomists, software architects, and AI research engineers dedicated to solving agricultural productivity in West Africa.
Co-founder & AI Lead
Prelyct AgriTech
Co-Founder & AI Research Lead
Leading the artificial intelligence, machine learning, and platform engineering initiatives at Prelyct AgriTech. Spearheading the design of computer vision pest detection models, soil moisture telemetry algorithms, and offline synchronization protocols for field environments in West Africa.
With extensive experience building mission-critical software systems (including the high-concurrency Prelyct Votes platform serving over 12,000 verified users), he ensures that Prelyct AgriTech products combine state-of-the-art AI algorithms with bulletproof software engineering.
Core Areas of Focus
Founder & Chief Agronomist
Holding a Master of Science degree in Soil Fertility from a leading agricultural university in Russia, our Founder bridges global soil science with the unique ecological realities of West African agriculture.
He directs the agronomic science framework behind Prelyct AgriTech, ensuring that every AI recommendation, soil amendment calendar, and yield prediction model is grounded in verified soil chemistry and field research rather than generic approximations.
Agronomic Credentials
Soil Fertility Foundation
Grounding Artificial Intelligence in Soil Chemistry
"AI is only as good as the domain science fed into it. By training our neural networks on real soil fertility parameters, we help farmers achieve sustainable yield growth."
Our Engineering & Research Philosophy
We believe that technology for African agriculture must be resilient, science-backed, and practical for field conditions. We build software that works offline, models that understand local soil types, and tools that empower non-technical field staff to deliver maximum impact.