Empowering Rural Farmers with Precision AI Solutions.
MSc
Soil Fertility Expertise
Russia
AI
Crop and Pest Detection
In Development
IoT
Sensor Monitoring
Field Networks
Ghana
Built for West Africa
Accra HQ
The Problem
The gap is not knowledge. It is infrastructure. Most organizations running agricultural programs in West Africa lack the AI and data systems that make precision farming possible.
92%
Most agricultural NGOs and cooperatives in West Africa rely on manual paper records. No unified data platform means no reliable basis for agronomic decisions.
30-40%
Pest outbreaks and disease spread silently across farms because field officers lack real-time detection tools. Early identification could prevent most of these losses.
0
NGOs, cooperatives, and government programs lack the internal tech resources to build data systems, yet they are expected to report impact and drive yields.
What We're Building
A centralized dashboard for agricultural organizations to manage farms, track field activities, log inputs, monitor yields, and generate automated reports.
AI-driven crop health analysis and soil-specific recommendations based on real agronomic science, not generic advice.
Real-time environmental and soil data from field-deployed sensors feeding directly into the farm management dashboard.
A powerful mobile and web application for farm digital data collection, worker monitoring, and AI assist for daily agricultural activities in West Africa.
Field officers easily record plot boundaries, sowing dates, soil inputs, and harvest logs directly from mobile phones. Offline-first architecture ensures data is captured even in deep rural areas.
Keep track of daily farm worker logs, task completion per block, and extension officer visit schedules. Ensure accountability and labor efficiency across all farm operations.
Field staff can scan crop leaves for pest diagnosis, receive automated fertilizer application guides tailored to local soil, and get real-time weather advisories.
Kuayo App
Who's Building This
The foundation of Prelyct AgriTech is agronomic. Our Founder holds a Master of Science degree in Soil Fertility from Russia, paired with a dedicated AI research and software engineering team led by our Co-founder & AI Research Lead.
Founder
MSc Soil Fertility (Russia)
Co-Founder
AI Research Lead
We are committed to helping West Africa achieve sustainable food security by equipping agricultural programs with predictive AI and scientific soil fertility analytics.
Learn About Our Food Security Strategy →Proof We Ship Real Software
Before Prelyct AgriTech, we built Prelyct Votes: a live, production-grade secure digital voting platform trusted by 35+ institutions and over 12,000 verified users.
See the Prelyct Votes platform →35+
Institutions using Prelyct Votes
12,000+
Verified users on the platform
Live
Production system, not a prototype
Ghana
Real deployment, real institutions
Who We Serve
Not individual farmers using an app, but organizations that need data infrastructure to manage farmer networks and programs at scale.
Agricultural development programs running farmer support initiatives need data to report impact to donors, track beneficiaries, and optimize field officer coverage.
Commercial farms and agribusinesses need to optimize inputs, manage multiple plots, and reduce crop loss. AI-driven yield prediction and pest alerts directly improve the bottom line.
Farmer cooperatives need to aggregate data across hundreds of smallholder members to access credit, negotiate prices, and qualify for bulk input programs.
District and national agriculture programs need evidence-based monitoring of farming activities, extension service performance, and crop production across large geographies.
Early Access
We are working with a small number of NGOs, agribusinesses, cooperatives, and government programs as pilot partners.