Multilingual AI Services

We collect, aggregate, and curate linguistically rich and culturally representative data from over 100 languages and dialects:

• High-quality corpora across high-resource and low-resource languages
• Bias-filtering and cultural adaptation for training-safe datasets
• Open-source and proprietary data curation strategies

Our preprocessing pipelines are built to preserve the unique linguistic traits of every language:

• Advanced tokenization methods (e.g., SentencePiece, byte-level BPE)
• Language-specific normalization, morphological handling, and script compatibility
• Cross-lingual dataset deduplication for cleaner training data

From training multilingual LLMs from scratch to fine-tuning existing models, we deliver robust architecture for:

• Multilingual understanding and generation
• Seamless cross-lingual knowledge transfer
• Real-time inference across global use cases

We ensure your multilingual models perform at the highest standards:

• Standardized and custom multilingual test suites
• Human-in-the-loop evaluations for fluency, tone, and cultural fit
• Robust testing for bias, toxicity, and fairness across languages

Accelerate the inclusion of new or underrepresented languages through:

• Cross-lingual transfer learning and translation-based augmentation
• Synthetic data generation for low-resource language bootstrapping
• Continual learning without catastrophic forgetting