Data Annotation & AI Training for High-Quality, Human-Aligned AI
Great AI Doesn’t Happen Without High-Quality Human Feedback
Fine-tune your Large Language Models (LLMs) with premium human feedback. We provide expert Reinforcement Learning from Human Feedback (RLHF) specifically for complex Southeast Asian languages. Our in-house linguists evaluate, rank, and refine AI outputs to ensure safety, accuracy, and perfect cultural alignment.
Supercharge your generative AI models with high-fidelity human insights. We help your AI learn human preferences, generating safe, helpful, and contextually brilliant responses.
Response Ranking & Scoring
Linguists rank AI responses by fluency, accuracy, and helpfulness to improve model performance.Prompt & Response Generation
Experts create prompts and ideal responses for supervised fine-tuning.Safety & Alignment Tagging
We flag toxic, biased, and culturally inappropriate outputs to support safer AI.Text Annotation & Classification
We label text for NER, sentiment analysis, and content categorization.Multimodal Data Collection
We collect and transcribe localized audio, speech, and image data for Southeast Asian markets.
The In-House Edge
for SEA AI Training
Build more reliable AI for Southeast Asia with the consistency of in-house linguistic expertise. From cultural nuance and domain knowledge to secure data handling, our teams deliver training data enterprises can trust.
Beyond Crowdsourcing
Unlike platforms relying on anonymous gig workers, we use trained, in-house linguistic professionals. This guarantees consistent data quality, deep focus, and reliable annotation at scale.
Deep Cultural Alignment
Our native experts understand the unspoken etiquette, local slang, and shifting tones that generic AI models constantly misinterpret or translate literally.
Domain-Specific Annotators
We deploy annotators with specific Subject Matter Expertise (SME) to ensure complex terminology and logical reasoning are evaluated correctly.
Enterprise-Grade Security
We operate under strict NDAs within secure, monitored environments to prevent data leakage and protect your intellectual property.
Types of
Data Annotation We Support
From fine-tuning LLMs to training domain-specific classifiers, we provide comprehensive linguistic data solutions for every stage of your AI pipeline.
Response Ranking (RLHF)
We compare and rank AI outputs based on helpfulness, accuracy, and safety to guide your model's reward systems and align it with human preferences.Prompt-Response Generation (SFT)
We craft high-quality, ground-truth demonstration data (Supervised Fine-Tuning) to teach your AI complex reasoning, brand voice, and natural dialogue from scratch.Safety & Toxicity Tagging
We rigorously identify and penalize toxic, biased, or culturally sensitive content to ensure your enterprise AI remains safe and compliant in local markets.Text Annotation, NER & Sentiment
We annotate raw text with precise Named Entity Recognition (NER) and conduct deep sentiment analysis, transforming unstructured text into actionable training data.Audio, Speech & Image Collection
We provide comprehensive sourcing, tagging, and transcription of multimodal data, ensuring your voice assistants and computer vision models understand local nuances.
Our Data Annotation Workflow
A secure, scalable pipeline for delivering premium human feedback directly to your AI engineering teams.
Step 1
Guideline Alignment
Step 2
Prompt Engineering
Step 3
Human Evaluation & Ranking
Step 4
Senior Quality Assurance (LQA)
Step 5
Secure Data Delivery
The Business Impact of High-Quality Data
High-quality data turns AI performance into measurable business value. It improves accuracy, reduces risk, accelerates deployment, and builds greater trust among Southeast Asian users.
Improve Accuracy
& Reliability
High-fidelity human data directly correlates to smarter, more context-aware AI models. We ensure your LLM performs reliably in real-world, multilingual scenarios.
Reduce
Hallucinations & Risks
By training on native ground-truth data rather than synthetic or crowdsourced garbage, you drastically lower the risk of your AI hallucinating facts or generating unsafe, brand-damaging outputs.
Accelerate
Model Deployment
Skip the painful iterations of re-training to fix cultural bugs. Clean, accurately labeled datasets help your engineering teams reach deployment milestones faster and with confidence.
Enhance User
Trust & Adoption
AI that sounds natural, empathetic, and culturally aligned with Southeast Asian users drives higher engagement, customer satisfaction, and long-term product adoption.
AI Training Data Deliverables
We deliver meticulously structured, ready-to-use data assets that plug directly into your machine learning pipelines.
Ranked RLHF Datasets
Clean, formatted datasets featuring AI responses with verified human preference scoring.
Ground-Truth SFT Data
High-fidelity prompt-response pairs crafted by native Southeast Asian linguistic experts.
Safety & Alignment Annotations
Tagged datasets explicitly highlighting cultural risks, implicit bias, and alignment issues.
Evaluation Guidelines
Custom grading rubrics and labeling frameworks designed specifically for your use case.
Training-Ready Formats
Structured datasets delivered securely in your preferred formats (JSON, CSV, XML) for immediate fine-tuning.
Certified Quality Management for AI Training Data
Wise-Concetti’s ISO 9001:2015-certified workflow supports a controlled, traceable, and quality-driven data annotation process. We help reduce model risks by ensuring annotation consistency, linguistic accuracy, clear labeling criteria, cultural relevance, and reliable final dataset quality.