Research Themes
Our research addresses critical challenges in digital agriculture through interconnected programs that combine technical innovation, socio-technical design, field practice, and governance frameworks. We work at the intersection of AI/voice technologies, blockchain systems, and agricultural development in Sub Saharan Africa.
Technical Focus Areas
Our technical research emphasizes practical, production-ready systems designed for resource-constrained environments.
Low-Resource ASR
Fine-tuning and quantization of speech models for African languages with limited training data.
Practical ZK Proofs
Implementing zero-knowledge circuits for supply chain privacy and regulatory compliance.
Smart Contract Systems
Designing scalable, secure contracts for tokenization, compliance, and finance.
Offline-First Systems
Optimizing AI models for edge deployment without internet connectivity.
EPCIS Integration
Blockchain-EPCIS patterns for verifiable supply chain traceability.
Agricultural Finance
On-chain mechanisms for working capital access and risk management.
Open Science & Digital Public Goods
We are committed to open science principles. All language models, datasets, and tools developed through our research are released as digital public goods, enabling Community-led innovation and building sovereign AI capacity.