Multilingual AI Data with Human Oversight
Into23 Data+ delivers the annotation, evaluation, and training data that enterprise AI systems need to perform accurately across languages and markets. Expert human oversight at every stage.
Six Core Capabilities
From raw data collection to safety testing, everything your AI system needs to perform reliably across languages.
Image Recognition & Annotation
Bounding boxes, segmentation, OCR validation, damage detection, and visual QA for multimodal AI training pipelines and document workflows.
Transcription & Audio Annotation
Multilingual transcription, diarization, emotion tagging, speech quality labeling, and prompted speech collection for voice AI and audio workflows.
LLM Evaluation & Response Rating
Systematic assessment of large language model outputs for accuracy, helpfulness, safety, and cultural relevance across real enterprise use cases.
RLHF & Human Feedback
Preference data, ranking tasks, and alignment workflows built for multilingual model improvement and enterprise governance.
AI Red Teaming & Safety Testing
Native-speaker adversarial prompt testing across APAC languages to surface multilingual safety gaps, culturally specific failure modes, and language-specific risks before launch.
AI Training Data
End-to-end multilingual data collection, curation, and quality assurance for training foundation models and enterprise AI systems at scale.
Transcription Services
Orthographic
Plain-text capture of speech as spoken. Verbatim with disfluencies.
Tagged & Annotated
Speaker tags, overlaps, noise & emotion markers with disfluency annotations.
Semantic / Meaning-Focused
Captures intent, not exact wording. Paraphrase-level transcription.
Priority Data+ languages
Enterprise-grade data for AI that works in the real world
Into23 Data+ combines APAC market depth, expert human annotators, and ISO-governed delivery to produce multilingual AI data that performs where it matters.
Data+ Whitepapers
RLHF Human Feedback for AI Training
A practical whitepaper explaining how structured human feedback supports RLHF programs, safer model alignment, and higher-quality multilingual AI training workflows.
AI Red Teaming & Safety Testing
A practical whitepaper on multilingual AI red teaming, adversarial safety testing, risk discovery, and remediation planning for enterprise AI systems.
Ready to Build Better AI Data?
Get a custom quote for your Data+ program. Our team typically responds within 24 hours.