Multilingual Model Training Data:
14-Day Pilot
AI Speed + Human Accuracy — Credentialed, multilingual, audit-grade annotation built for teams training and evaluating frontier language models.
Model pipelines are bottlenecked at the edges.
Model training and evaluation pipelines are bottlenecked by one unglamorous constraint: labeled data quality at the edges—low-resource languages, domain-specific terminology, and the judgment calls that separate a usable label from a confidently wrong one.
Documented, Auditable Accuracy
3+ Languages Validated
Credentialed, language-matched annotators—not generalist crowdworkers. Annotators are assessed for target-language fluency and domain knowledge before pilot start.
✓ Bench composition shared in advance≥ 98% Target IAA Accuracy
Inter-Annotator Agreement (IAA) is managed as a rigorous process. Disagreements are logged, adjudicated, and routed back into annotator calibration.
✓ Full disagreement logs delivered20% Faster TAT vs Baseline
Output formats map directly to common RLHF/SFT and eval pipeline structures (preference pairs, span labels, rubric-scored rationales).
✓ Zero integration overheadNeed Spatial & Autonomous Perception Labeling?
We also run high-precision 3D LiDAR point cloud annotation, semantic segmentation, and multi-frame tracking alongside our NLP workflows.