01
The product
LomBench applies the Lom metric, developed by our research team, to objectively evaluate speech recognition, translation, and synthesis models on West African languages. It quantifies a language's actual "AI-readiness", beyond marketing claims.
02
The product story
What the product makes possible
LomBench applies the Lom metric, developed by our research team, to objectively evaluate speech recognition, translation, and synthesis models on West African languages. It quantifies a language's actual "AI-readiness", beyond marketing claims.
The benchmark that evaluates AI on African languagesLomBench
Designed for real-world use
Research labs, model builders, and public institutions who want to verify a claim before deploying.
From need to deployment
- Describe your model — Architecture, target languages, intended use case.
- We configure the evaluation — Choice of languages, tasks, and test protocol with our team.
- Report and recommendations — You receive a detailed Lom score and concrete improvement paths.
03
Contribute
What a contributor does, step by step.
Choose a model
Yours, or a public model you want to compare.
Select languages
One or more languages from the Eyaa-Tom corpus, depending on your evaluation need.
Run the benchmark
LomBench runs the test suite and computes the corresponding Lom score.
Compare results
Review the ranking and detailed metrics by task and language.
04
Become a client
How data access works, from request to delivery.
Describe your model
Architecture, target languages, intended use case.
We configure the evaluation
Choice of languages, tasks, and test protocol with our team.
Report and recommendations
You receive a detailed Lom score and concrete improvement paths.