Build AI That Understands Your Domain.
General-purpose AI models struggle with the terminology, context, and professional knowledge required in specialized industries.
How DATAmundi Supports Domain Adaptation
DATAmundi helps frontier AI team adapt models for specialized industries with expert-curated ethical training data, domain-specific annotation, and human validation. Across languages, markets, and applications.
Domain-Specific Data Sourcing + Curation
Specialized text, speech, image, and multimodal datasets. Build relevant training data that reflects professional terminology and domain-specific requirements.
Expert Annotation + Data Enrichment
Transforming complex data into structured, AI-ready datasets through domain-specific annotation, classification, labeling, and metadata enrichment.
Domain-Specific Fine-Tuning Data
Help models develop stronger domain knowledge. Create expert-reviewed training examples, instruction-response pairs, and task-specific datasets to support supervised fine-tuning (SFT) and domain adaptation.
Expert Validation + Quality Assurance
Combine structured quality controls with domain-specialist review to validate data accuracy, consistency, and relevance.
Expert Human Data for Specialized AI – Why DATAmundi?
Global Domain Expertise
Multilingual + Localized Data
Human-in-the-Loop Workflows
Make Your AI Domain-Ready
01
Understand
We learn your content, audience, market, and brand requirements
02
Prepare
We establish terminology, references, workflows, and linguistic requirements
03
Adapt
Expert linguists translate, localize, or create content for your target markets
04
Quality Assurance
Linguistic, functional, & cultural quality checks ensure everything is ready
Global Language Expertise, Built for Scale
- Human expertise
Experienced linguists and specialists bring language and cultural context to every project.
- Global reach
Support across languages, markets, and cultural environments.
- Technology-enabled
Flexible workflows, CAT tools, CMS/TMS integrations, APIs, and AI-assisted translation.
- Quality controlled
Multi-stage linguistic review and QA help maintain accuracy and consistency.
Client Stories. See proven results with leading AI teams.
Building Real-World Egocentric Video Data for Physical AI
Creating Real World Video Datasets for Facial Recognition AI
- New Case Studies
Enhancing Voice AI Performance Through Human-Led Multilingual QA
Transforming Real World Multilingual Audio into High Quality Training Data
