Type B — Horizontal LLM Data
Comprehensive AI data solutions that cover the entire spectrum from data collection and annotation to model testing. Creating multimodal datasets for deep learning, large language models.



Voice content spans 6 project types and 9 data domains across 23 countries
25,400 valid hours of annotated multilingual speech data for large language model training
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TARGET
Target

Capture and transcribe recordings from native speakers from 23 different countries (Netherlands, Spain, Norway, France, Germany, Poland, Russia, Italy, Japan, South Korea, Mexico, UAE, Saudi Arabia, Egypt, etc.). Voice content involves 6 project types and 9 data domains. A total of 25,400 valid hours durations.
23 Countries6 Project Types9 Data Domains25,400 Valid Hours
Related services & resources
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- Enterprise LLM Training DataInstruction, preference, and domain corpora built for fine-tuning.
- Multilingual Data CollectionNative-speaker collection across 50+ languages and dialects.
- AI Data ValidationIndependent dual-layer QA against a contractual 95%+ accuracy SLA.
- QA ProcessThe dual-layer human-in-the-loop review behind every delivery.
- Delivery MethodologyThe six-stage pipeline from scoping through post-delivery audit.
- Multilingual Foundation-Model Corpus Case StudyMultilingual foundation-model corpus delivery.
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- AI Glossary30+ defined terms across AEO, GEO, AIGC, and data operations.
- ContactScope a program, request a sample, or book a technical call.

