Human intelligence from Africa

AI that understands Africa,
shaped by the people who live it.

Native speakers, domain experts and researchers building datasets, evaluations and open benchmarks that reflect how Africa actually speaks, works and thinks.

In the languages people actually speak
Kiswahili
Swahili
Yorùbá
Yoruba
Hausa
Hausa
አማርኛ
Amharic
Igbo
Igbo
isiZulu
Zulu
العربية
Arabic
Français
French
and more
Who it is for

Made for the people who build, test and shape AI.

Researchers

Run reproducible evaluations, share benchmark results, and test how models handle African languages and contexts.

Contributors

Bring your language and your expertise. Build a track record through certifications and quality scores, and see how your work shapes models.

Teams building AI

Evaluate and improve products for African users, from a first prototype to a production system.

Benchmarks

See how models handle African languages.

Run an existing benchmark or bring your own questions. Every search, document read and answer is recorded, so results can be checked and reproduced.

Featured benchmark
Multilingual agentic search

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.

Any model, any query set
Bring your own evaluation

Upload your own questions and corpus, choose a model, and get a full trace of what it searched, read and answered.

The AI lifecycle

One journey. End to end.

From the first recording to the published benchmark, in one place.

Collect

Multilingual speech, text, image, and video from vetted contributors.

Annotate

Label, transcribe, and structure with configurable task types.

Validate

Consensus, gold tasks, and senior QA verify every judgment.

Evaluate

RLHF, safety, reasoning, and preference evaluations at scale.

Benchmark

Compare model versions and track quality trends over time.

Share

Export datasets and results via API or JSONL, ready for training or publication.

Why AfriEval

What changes when Africa is in the room.

Speak the language

Datasets and evaluations in the languages and dialects people actually use, gathered from contributors who live them.

Rooted in real expertise

Doctors, teachers, lawyers, linguists and farmers judge what models get right and wrong in their own field.

Quality you can trace

Consensus, gold tasks and senior review mean every judgment can be checked, explained and improved.

Open to every kind of builder

Researchers, students, independent contributors, startups and large labs work with the same tools.

The workflow builder

Compose human intelligence,
stage by stage.

From contributor to export, wired together visually. Configure each stage on the right, then run it as an API endpoint. The figures shown here are a sample.

workflows / speech-eval-v3.pipeline
Sample workflowv3.2
Pipeline
  1. 01
    Contributor
    Source
    Vetted contributors submit tasks in their native language and domain.
  2. 02
    Contributor
    Label
    Trained contributors label, transcribe, and score against a rubric.
  3. 03
    Consensus
    Validate
    Multi contributor consensus with gold tasks calibrating quality live.
  4. 04
    Senior QA
    Adjudicate
    Senior specialists resolve disputes and calibrate the contributor pool.
  5. 05
    Export
    Ship
    Deliver via API, webhooks, or connectors with full lineage.
5 stages 42 reviewers 2 webhooks
Throughput 1,204 tasks / hr
Human intelligence network

The people behind every evaluation

Not an anonymous crowd. Native speakers and subject-matter experts, matched to the task they know best.

Speech Contributors
Medical Experts
Lawyers
Teachers
Native Linguists
Agricultural Specialists
Software Engineers
Financial Analysts
Researchers
Use cases

What people use it for

From speech and vision to RLHF and healthcare, one platform for every human intelligence workflow.

Speech AI
Multilingual speech collection and transcription at scale.
Generative AI
RLHF, preference, and safety evaluations on frontier models.
Healthcare
Clinical expert review for medical model deployments.
Vision AI
Image and video annotation with layered QA.
Government
Translation and language validation for public services.
Research
Open, reproducible benchmarks for researchers and labs.
Legal
Contract, policy, and jurisdictional review workflows.
Agriculture
Local language field datasets and expert labeling.
Trust and quality

Every judgment, traceable.

Quality checks, permissions and lineage are built in, whether you are a solo researcher or a large team.

Dataset
Human review
Workflow
Benchmark
Translation
QA
API
Analytics
Governance
SOC 2 aligned controls, data residency, and DPA on request.
Quality Assurance
Gold tasks, consensus, and senior QA calibrate every workflow.
Permissions
SSO, SAML, and role based access across projects and teams.
Auditability
Immutable audit trail and versioning for every decision.
APIs and SDKs
REST, webhooks, and typed clients for production pipelines.
Data Handling
PII redaction, scoped storage, and configurable retention.

One platform.

For every human intelligence workflow.

Data Collection
Annotation
Translation
Validation
RLHF
Benchmarking
Safety
Human Review
Expert QA
Built with African intelligence

Why Africa matters

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.

2,000+
Languages spoken across the continent
Native
Speakers judge the language
Local
Domain knowledge in every field
Cultural
Context, not just translation
Young
A fast-growing digital community
Open
To researchers and individuals

AI cannot be globally representative without African intelligence.

AI is better when Africa helps build it.

Explore the benchmarks, contribute your language and expertise, or bring your team. There is a place for researchers, individuals and organisations alike.