DATA SERVICES

    Data Annotation & Labeling Services

    Transform raw data into AI-ready assets

    Every intelligent system is only as good as the data that powers it. We handle the entire data lifecycle — from collection and annotation to quality assurance, augmentation, and synthetic data generation — so your models learn from the best.

    Start Your Data Pipeline
    10M+
    Data Points Processed
    50+
    Annotation Projects
    99.2%
    Quality Score
    15+
    Languages Supported

    Technology Partners

    Microsoft AzureMicrosoft AzureGoogle CloudGoogle CloudAWSAWSNVIDIANVIDIAOpenAIOpenAIHugging FaceHugging FaceMeta AIAnthropicLangChainLangChainPineconePineconeMicrosoft AzureMicrosoft AzureGoogle CloudGoogle CloudAWSAWSNVIDIANVIDIAOpenAIOpenAIHugging FaceHugging FaceMeta AIAnthropicLangChainLangChainPineconePinecone
    DATA PIPELINE

    From chaos to clarity

    Raw
    Clean
    Label
    Validate
    Train
    CAPABILITIES

    End-to-End Data Annotation Pipeline

    Data Collection

    Gather data at scale

    Web scraping, API integrations, crowdsourcing, audio/video capture. We build robust pipelines that feed your AI with diverse, representative data from multiple sources.

    ScrapingAPICrowdsourcingAudio/Video

    Data Annotation

    Human-in-the-loop labeling

    Text classification, image segmentation, audio transcription, video annotation. Expert annotators combined with quality controls ensure accurate, consistent labels.

    TextImageAudioVideo

    Data Quality

    Clean, compliant, unbiased

    Data cleaning, PII detection and removal, bias analysis, standardization. We ensure your training data meets the highest quality and compliance standards.

    CleaningPIIBiasStandardization

    Data Augmentation

    Multiply your training signal

    Synthetic data generation, edge case creation, class balancing. Expand your dataset intelligently to improve model robustness and generalization.

    SyntheticEdge CasesBalancing

    Training Datasets

    Purpose-built for your models

    SFT, RLHF, DPO datasets and custom AI training data. Multilingual corpus collections with deep Turkish expertise. We create datasets aligned to your specific training methodology.

    SFTRLHFDPOMultilingual Corpus
    OUR PROCESS

    From raw to refined

    01

    Discovery

    Understand your data needs and model requirements

    02

    Collection

    Gather diverse, representative data from multiple sources

    03

    Annotation

    Label with precision using expert annotators and QA

    04

    Validation

    Ensure quality, remove bias, verify compliance

    05

    Delivery

    Export in your preferred format, ready for training

    DATA TYPES

    We handle all modalities

    Text

    Documents, conversations, code, logs

    Images

    Photos, diagrams, screenshots, scans

    Audio

    Speech, music, ambient sounds

    Video

    Recordings, streams, surveillance

    Structured

    JSON, XML, databases, APIs

    Time Series

    Sensors, metrics, financial data

    CASE STUDY

    Case Study: Building a Multilingual NLP Training Dataset

    2.5M
    Sentences Collected
    12
    Domain Categories
    98.7%
    Annotation Accuracy

    "Mad Cat Labs delivered a comprehensive Turkish language dataset that significantly improved our model's performance on local language tasks."

    Get Started

    Ready to build something real?

    Let's align on your AI goals and define the next steps that will create real business value.