01
What we do
- Rubric and pass/fail design
- Naturalness, meaning preservation, and cultural-fit scoring
- Inter-rater agreement checks
- Error taxonomy and improvement priorities
BUNDLE 01 / AI labs
Multilingual AI Model Evaluation
Evaluate low-resource-language outputs for linguistic quality and cultural fit.
02
How quality is controlled
- Evaluator qualification checks
- Example-based evaluation guide
- Double review and disagreement resolution
- Deliverables with traceable rationale
Tell us what must work, for whom, and under what conditions.
Share the target user, workflow, and cost of failure. We will design the smallest pilot that can answer the question.