Technology
Building and deploying technology for real-world problems through practical design, responsible development and public-interest thinking.
CACHE is a youth-led organisation developing practical technologies and innovative solutions to challenges facing communities across Africa.
CACHE brings together young innovators, engineers, technologists, researchers and communities to design, test and scale solutions to real African challenges.
CACHE works across technology, innovation, research and community impact to produce practical outcomes for African communities.
Building and deploying technology for real-world problems through practical design, responsible development and public-interest thinking.
Designing, testing and adapting new solutions to African contexts so they are relevant, affordable and useful.
Using evidence, data and experimentation to understand what works, where it works and what needs to change.
Working with communities so innovation is accessible, sustainable and anchored in local realities.
Safe Path AI is a technology initiative exploring how artificial intelligence can help people make safer decisions, understand potential risks and access better safety information.
Explore Safe Path AI→This methodology is central to how CACHE works: identify, investigate, build, test, measure, learn, improve and scale.
Understand the problem through communities, data and research.
Study existing approaches and determine what is missing.
Develop a practical solution.
Test with real users and real environments.
Collect data and evaluate outcomes.
Identify what worked, what failed and why.
Iterate based on evidence.
Expand only when evidence supports doing so.
Problem
Evidence
Idea
Prototype
Pilot
Measurement
Learning
Impact
Problem identified
Research
Design
Prototype
Field testing
Evaluation
Iteration
Scale
Access, scarcity and resilience.
ExploringCommunity safety and intelligent infrastructure.
Active focusTechnology access and participation.
ExploringLocally relevant resilience and adaptation.
Future areaTechnology-enabled learning and opportunity.
Future areaTools, skills and systems that help young people participate in the economy.
Future areaImpact figures are updated as projects are implemented and independently documented.
Data pending: every figure is linked back to a documented method and source review.
Evidence is part of the process: what is known, what is being tested, and what remains open.
Evidence: Initial problem framing and field learning identify information quality and access as critical factors.
Source: Problem analysis
Evidence: Concept development is informed by research, user feedback and practical design review.
Source: Research and design
Evidence: Responsible AI and governance principles are part of the project design framework.
Source: Methodology
The story of how practical ideas become tested, community grounded solutions.
Read more →Why the first phase of innovation is often careful observation and field learning.
Read more →The practical considerations behind design, relevance, evidence and local adaptation.
Read more →A framework for early-stage experimentation built around people, evidence and iteration.
Read more →The partner grid below is intentionally structured for future institutional collaborations and real organisations.
We work with communities, institutions, funders and partners to turn ambitious ideas into practical solutions.