Real-world judgement
Evaluators score outputs the way your actual users would experience them.
Services / AI Evaluation & Quality Review
Know your AI works — in every language — before your users find out.
Human evaluation of AI outputs and datasets, so you ship models people can trust.
✓
AI Evaluation & Quality Review
Why teams choose Langigs
Benchmarks in English rarely tell you how a model performs for a farmer in Kano or a student in Nairobi. Our native-speaker evaluators rate AI outputs, audit datasets, and test translations and responses for accuracy, fluency, safety, and cultural fit, giving you clear evidence to improve.
Multilingual coverage
Test performance in the languages your benchmarks leave out.
Actionable findings
Get clear scores, error categories, and examples — not just a pass or fail.
Safer launches
Catch bias, harmful content, and embarrassing errors before release.
Use cases
Where we can help
- LLM response rating and ranking
- Machine translation quality evaluation
- Speech recognition accuracy review
- Dataset audits and cleaning
- Search and recommendation relevance
- Safety, bias, and red-team testing
How it works
A clear process, start to finish.
- 01
Set the criteria
Agree what good looks like — rubrics, scales, and error categories.
- 02
Train evaluators
Native-speaker reviewers are calibrated on examples.
- 03
Evaluate
Outputs or data are rated, with comments on errors and risks.
- 04
Report
You receive scores, trends, and examples you can act on.
Quality assurance
Quality built into every step
- Rubric calibration before evaluation starts
- Multiple raters on sampled items
- Consistency and agreement checks
- Clear, reproducible reporting
FAQ
Common questions
Can you evaluate our model in African languages?
Yes. Multilingual evaluation, including African and underrepresented languages, is a core focus for us.
Do you provide a report or just raw scores?
Both. You receive the raw ratings plus a summary of findings, error patterns, and examples.
Can evaluation be ongoing?
Yes. We can run regular evaluation cycles as your model is updated.
Start your project
Ready to talk about AI Evaluation & Quality Review?
Share your goals, languages, and timeline. We will reply with next steps and a plan that fits.
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