AI Readiness Testing
Nam-AI-Eval evaluates how AI performs for Namibian users and local context — covering new AI testing, existing AI improvement testing, language evaluation, local knowledge, local context, factual accuracy and user scenarios.
What it is
A structured evaluation of how an AI system performs for Namibian users — covering local knowledge, geography, language, terminology and cultural context.
Who needs it
Teams launching new AI products in Namibia, and teams with existing AI who want to measure and improve local performance.
Reporting
You receive a clear report of strengths, gaps and recommended next steps — no opaque scores without context.
Improve & retest
After targeted data work, re-test to measure the improvement and close the loop.
What can be evaluated
Initial evaluation categories — configurable and extendable over time.
The testing workflow
- 01
Baseline
Establish how your AI performs today for Namibian users.
- 02
Identify Gaps
Surface where the model falls short across language, knowledge and context.
- 03
Improve
Commission targeted data and fixes to close the gaps.
- 04
Retest
Re-evaluate to measure the improvement and close the loop.
Ready to get started?
Test how well your AI performs for Namibian users, languages and local context.