Commercial-grade African speech datafor AI and CPaaS platforms
Skip the 60% engineering tax. Get SLA-backed, commercially licensed, compliance-ready Twi, Wolof, and Fon datasets ready for your ASR and IVR pipeline.
of speaker-verified Twi, Wolof & Fon audio and growing
annotated every hour transcribed and labeled by native speakers
F1 macro on Wolof sentiment 2x the best frontier LLM we benchmarked
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.
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.
Ready-made datasets
License our speaker-verified Twi, Wolof & Fon corpora - shipping today with volume scaling now.
Custom collection missions
Scope a bespoke collection in any African language with our Fair-Trade native-speaker network.
Data pipeline integration
Plug our capture, QA and delivery pipeline into your training infrastructure end to end.
Annotation & transcription
Native-speaker labeling and timestamped transcripts delivered to your schema and quality bar.
Model fine-tuning & benchmarking
Fine-tune Whisper or MMS on your target languages and benchmark against your baselines.
Advisory & scoping
Get expert guidance on languages, volume, format and compliance before you commit.
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 Twi, Wolof, or Fon 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.
From catalogue to production in three steps
Browse catalogue
Pick language, volume, format.
License your dataset
Commercial license + SLA: guaranteed delivery windows, defined annotation accuracy, and free re-delivery on any QA failure plus a licensing and data-provenance trail your compliance team can audit.
Receive via API or S3
Integrate directly into your pipeline.
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, responsible-AI sourcing you can stand behind.
Inter-annotator agreement >80%
Every annotation is cross-checked against our linguistic quality standard.
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.
- Afriklang90.0%
- Microsoft Phi-445.0%
- Llama 3.3 70B43.5%
- Claude Sonnet 4.632.5%
- GPT-4o23.3%
- Claude Opus 4.819.4%
F1 macro, higher is better. LLMs evaluated zero-shot at temperature 0 on a 1,000-comment Wolof gold standard; Afriklang measured as native-speaker inter-annotator agreement on the same 1,000 examples.
ahead of the best frontier LLM on Wolof sentiment 90.0% vs 45.0% for Microsoft Phi-4
ahead on 7-class emotion detection 85.0% vs 12.9% for GPT-4o
of GPT-4o predictions retreat to "neutral" on Wolof hedging, not analysis
No LLM we tested exceeds 50% F1 on Wolof. These are structural gaps in linguistic coverage not bugs a better prompt can fix.
A MEST Africa company
Afriklang is built and backed within the MEST Africa ecosystem one of the continent's leading technology entrepreneur programs and investors.
Ready to eliminate your data collection bottleneck?
Or email us at contact@afriklang.com