Service 04 — AI Language Data

Language data that makes your AI actually work

We create, annotate, review, and validate multilingual language data across Asian languages — purpose-built for AI and ML teams who cannot afford low-quality inputs.

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Six Specialist Tracks

Every stage of your data pipeline, covered

Track 01

Multilingual Data Creation

High-quality prompts, conversations, and text samples in your target language — built to your schema, tone guidelines, and domain requirements.

e.g. Chat prompts for a support bot, Q&A pairs for retrieval, instruction datasets for fine-tuning

Track 02

Annotation & Labeling

Text labeled for machine learning with clear, agreed guidelines — consistently applied by domain-matched experts who understand the nuance of each language.

e.g. Intent tags, named entities (names, dates, amounts), slot filling, coreference resolution

Track 03

QA / Adjudication

Second-pass expert review resolving annotator disagreements to produce a final validated gold dataset. All decisions documented for full auditability.

e.g. Resolve label conflicts, produce gold-standard outputs, flag systematic annotation errors

Track 04

Evaluation & Benchmarking

Score and compare model outputs using your rubric — delivered by native speakers who know what good actually sounds like in each language. Structured and reproducible.

e.g. Rate LLM answers for accuracy, helpfulness, and tone in Japanese, Korean, Thai, or Vietnamese

Track 05

Safety / PII Review & Redaction

Detect and remove sensitive information before training or delivery — following your PII taxonomy precisely and flagging edge cases for human decision.

e.g. Redact phone numbers, emails, IDs, addresses across large multilingual datasets

Track 06

Multimedia Language Services

Language support for image and video datasets — OCR correction, caption localization, and structured image descriptions for diverse Asian content.

e.g. OCR correction for scanned docs, caption localization, alt-text in Asian languages

Why It Matters

Your model is only as good as its training data

Generic crowdsourced data does not capture how people actually communicate in Thai, Vietnamese, or Cantonese. We build data that reflects real language use.

Domain-matched linguists

Experts in fintech, healthcare, legal, and consumer tech — not generalist crowdworkers.

Structured guidelines

Every task includes a detailed annotation guide and worked examples before production starts.

Scalable throughput

500 to 500,000 items — we staff to your timeline, not the other way around.

Delivery to your schema

JSON, CSV, JSONL, or your internal format — ready to load without transformation.

Building AI for Asian languages?

Tell us your task type, languages, and volume. We will design the right data workflow.

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