Afriklang

African speech data infrastructure

Commercial-gradeAfrican speech datafor AI & CPaaS platforms

Skip the 60% engineering tax. Get SLA-backed, commercially licensed, compliance-ready datasets in Luganda, Ewe, Fulfulde, Hausa and more ready for your ASR and IVR pipeline.

Backed by MEST Africa · AI Startup Program

  • LugandaShipping
  • EweShipping
  • FulfuldeShipping
  • HausaShipping
  • WolofShipping
  • TwiShipping
  • YorubaShipping
  • SwahiliMission
  • AmharicMission
  • ZuluMission
  • ShonaMission
  • LingalaMission
  • FonMission
  • IgboMission
  • OromoMission
  • TigrinyaMission
  • SomaliMission
  • XhosaMission
  • KikuyuMission
  • KrioMission
  • BambaraMission
  • KinyarwandaMission

0

hours

of speaker-verified audio across Luganda, Ewe, Fulfulde, Hausa & more and growing

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languages shipping

licensed corpora available today, with 15 more languages through collection missions

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F1 macro

human-verified annotation quality on Wolof sentiment 2x the best frontier LLM we benchmarked

The problem

The African language data gap is costing you time and money

No license or compliance trail

IP, data-protection, and AI-Act exposure when you deploy at scale.

Manual collection

60–70% of engineering budget wasted on data, not product.

Tonal inaccuracy

Broken ASR models that frustrate your end users.

What we offer

Ways to work with Afriklang

From ready-to-license corpora to bespoke collection, pipeline integration and hands-on AI services pick the level of support your team needs.

Data

Ready-made datasets

License our speaker-verified corpora in Luganda, Ewe, Fulfulde, Hausa & more shipping today with volume scaling now.

Data

Custom collection missions

Scope a bespoke collection in any African language with our Fair-Trade native-speaker network.

Professional services

Data pipeline integration

Plug our capture, QA and delivery pipeline into your training infrastructure end to end.

Professional services

Annotation & transcription

Native-speaker labeling and timestamped transcripts delivered to your schema and quality bar.

Professional services

Model fine-tuning & benchmarking

Fine-tune Whisper or MMS on your target languages and benchmark against your baselines.

Professional services

Advisory & scoping

Get expert guidance on languages, volume, format and compliance before you commit.

Use cases

Built for every CPaaS platform

If you're building local-language IVR systems, voice bots, or ASR models in African languages, you need training data that is commercially safe, tonally accurate, and ready to integrate not scraped from the internet.

Local-language IVR

Launch Luganda, Hausa, or Wolof voice menus in weeks, not months.

ASR model training

Fine-tune Whisper or MMS with verified native speaker data.

Voice bot development

Train conversational AI that understands natural speech, including code-switching.

How it works

From catalogue to production in three steps

  1. Browse catalogue

    Pick language, volume, format.

  2. License your dataset

    Commercial license + SLA: guaranteed delivery windows, defined annotation accuracy, and free re-delivery on any QA failure plus a provenance trail your compliance team can audit.

  3. Receive via API or S3

    Integrate directly into your pipeline.

Why Afriklang

Why our data is different

Image-prompted elicitation

Speakers describe images, not read scripts. Captures natural speech and code-switching.

AI quality filtering at capture

Noisy audio is discarded automatically before reaching human reviewers.

Fair-Trade & responsibly sourced

Native speakers are compensated fairly via our points-based micro-work system ethical sourcing you can stand behind.

Inter-annotator agreement >80%

Every annotation is cross-checked against our linguistic quality standard.

The benchmark

Frontier LLMs can't read Wolof. Our data can.

We benchmarked GPT-4o, Claude, Gemini, Llama and Phi-4 on real Wolof social-media comments. The best reaches 45% F1 zero-shot. Data annotated and validated through our pipeline reaches 90.0% the quality moat under every dataset we sell.

+0.0 pts

ahead of the best frontier LLM on Wolof sentiment 90.0% vs 45.0% for Microsoft Phi-4

+0.0 pts

ahead on 7-class emotion detection 85.0% vs 12.9% for GPT-4o

Explore the full benchmark
MEST AfricaBacked by MEST AfricaIncubated in the MEST Africa AI Startup ProgramOne of the continent's leading technology entrepreneur programs and investors, giving our data pipeline hands-on support and a pan-African network.

Insights

Latest articles

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Ready to eliminate your data collection bottleneck?

Or email us at contact@afriklang.com

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