We collect, label and evaluate the data AI needs to work for Africa, from speech, text, images, video and documents to model outputs, with native speakers and domain experts who know the context. Run your own collection on AfriEval, or let us manage the entire collection for you.
Tell us what your model needs. We bring in the right contributors, run the work with quality checks built in, and hand back clean, documented data you can train or test on.
Contributors record prompts in their own voice, accent and language, straight from the browser.
ExamplesRead-aloud sentences, everyday speech, domain vocabulary
Audio turned into accurate text in the language spoken, with dialect and code-switching handled by native speakers.
ExamplesVerbatim transcripts, speaker labels, entity tagging
Translations, glosses and word pairs that keep close meanings distinct, checked by speakers of both languages.
ExamplesGikuyu to English, Swahili to English, word pairs
Classification, tagging and document checks, with the local context a generic workforce misses.
ExamplesImage classification, OCR verification, content tagging
People compare, rate and red-team model answers in African languages, so you can see where a model fails.
ExamplesPreference pairs, hallucination and toxicity checks
Doctors, lawyers, teachers and agronomists judge answers in their own field.
ExamplesClinical, legal and agricultural review
Some teams want a finished dataset. Others already have a community, contributors or a data source and need the infrastructure to collect, review and manage it properly. AfriEval supports both.
Tell us what you need. We recruit and verify our community of contributors, manage collection and quality review, and deliver a ready-to-use dataset. Best when you want results without managing the workforce or workflow yourself.
For research teams, curators and language communities that want to manage their own collection. Bring your contributors, invite certified AfriEval contributors, or combine both while managing collection, review and quality control in one place.
Prebuilt starting points for speech, text, images, documents and model answers. Copy one into your library and adapt it to your project.

Run reproducible evaluations, share benchmark results, and test how models handle African languages and contexts.
Get the data you need, or evaluate and improve products for African users, from a first prototype to a production system.
Run your own collection with your contributors, with review, quality control and export in one place.
Run an existing benchmark or bring your own questions. Every search, document read and answer is recorded, so results can be checked and reproduced.
Questions asked in African languages are answered by an agent that searches an English corpus. Every search round is recorded, and results export as JSONL.
Upload your own questions and corpus, choose a model, and get a full trace of what it searched, read and answered.
From the first recording to the published benchmark, in one place.
Multilingual speech, text and images from vetted contributors.
Label, transcribe and structure data with templates you can adapt.
Consensus and senior review check every judgment.
Preference, safety and reasoning evaluations of model answers.
Compare model versions and track quality trends over time.
Export datasets and results as Excel, JSON or JSONL, ready for training or publication.
From contributor to export, every stage is set up in one place. This is an illustrative workflow.
Not an anonymous crowd. Native speakers and subject-matter experts, matched to the work they know best.
Quality checks, permissions and lineage are built in, whether you are a solo researcher or a large team.
Africa is home to thousands of languages and a generation shaping how technology is used. Models built without them misread names, proverbs, medicine, law and everyday speech. AfriEval puts those people at the centre of building and judging AI, not at the end of the line.
AI cannot be globally representative without African intelligence.
Tell us the languages, the kind of data and the format you need. We will collect, label and evaluate it with people who know the language and the context.
Or email info@afrieval.com