Where AI research meets
real-world application.

Applied research output

Applied AI/ML research on an African problem, from idea to published work within 12 months rather than years.

Industry partnerships

Direct company partnerships with real data, real problems, and sometimes funded research agreements.

Curriculum contribution

Contribute to the TechOps Hub curriculum and shape how the next generation of African AI engineers learns.

Africa-centred publishing

Publication support for AfricaNLP, NeurIPS, AAAI, and other venues that amplify African AI globally.

Research Collaboration Hub

Connect with TechOps researchers in your domain. Share in-progress findings, invite co-authors, and access the shared literature library.

Dataset Library

40+ African-focused datasets across languages, agriculture, health, finance, and markets. Filter by domain and licence. Download or access via API.

GPU Compute Access

Your compute allocation, active training jobs, queue position, and job history. Request additional GPU hours for large runs — reviewed within 24 hours.

Publication Tracker

Every paper tracked end-to-end — draft progress, reviewer comments, revision history, target journals, and submission deadlines all in one view.

Peer Network

Researchers from campuses and industry partners. Monthly seminars, paper discussions, and workshops — direct access to people working on the same problems.

• → Research methods for applied AI
• → Scoping and problem selection
• → Dataset identification & access
• → Setting up your research workspace

• → Experimental design & hypothesis framing
• → Baseline model selection
• → Evaluation metrics & benchmarks
• → Ethics and data governance

• → Full research cycle execution
• → GPU compute & dataset access
• → Peer review & iteration cycles
• → Industry co-sponsorship (optional)

• → Paper writing & argument structure
• → Internal peer review process
• → Venue selection & submission
• → Lab seminar presentation