Training · Alignment · Evaluation
African language data for AI
Every modellearns from someone.
Fig. 1
I · Sia — Perception
First, we seekto understand.
We observe, recognise patterns,
and make sense of information in context.
From information to insight.
Fig. 2
Illustrative sampleII · Hu — Utterance
Then, we giveideas form.
We turn understanding into expression,
and ideas into something people can use.
From insight to action.
Fig. 3
III · Execution
Pipelines that run.And run again.
Audio paired with native-speaker transcripts, ready for your training and evaluation pipeline.
Fig. 4
- ConsentRecorded
- PayOn time
- PIIMinimised
- ProvenanceAttached
IV · The record
Consent recorded.Source attached.
Paid fairly. Kept private.
Traceable to the line.
Training · Alignment · Evaluation
Sia & Hu
Insight meets Action.
Data for training, fine-tuning, alignment and evaluation in African languages. For LLMs, speech models and other AI systems. Collected with consent.
Start with the data
Tell us what
you’re building.
For LLMs, speech models and other AI systems.
Data for training, fine-tuning, alignment and evaluation.
