Our Services

Annotation for Every Data Type

Six specialist annotation services. One dedicated partner. All with rigorous QA and transparent reporting.

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NLP & Text Annotation

Training data for language models that actually understand language

Natural language processing demands annotation that captures context, intent, and nuance – not just keyword tags. Our NLP annotation teams are trained in linguistics and work across English, Vietnamese, Thai, Malay, and other Southeast Asian languages.

LLM Fine-tuningChatbot TrainingSearch RelevanceSentiment Tools
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Capabilities

  • Named Entity Recognition (NER) – people, places, organizations, products
  • Sentiment analysis – fine-grained (positive, negative, neutral, mixed)
  • Text classification – topic, category, intent, urgency
  • Intent detection and slot filling for conversational AI and chatbots
  • Coreference resolution and relationship extraction
  • Question-answer pair generation for RAG and LLM fine-tuning
  • Instruction tuning datasets for RLHF pipelines

Image Annotation

Pixel-precise labels for computer vision at any scale

Computer vision is only as good as the ground truth it trains on. We deliver precise, consistent image annotations across every annotation type – from simple classification to complex instance segmentation – with multi-pass QA ensuring your model trains on clean data.

Object DetectionMedical ImagingRetail AIADAS / Autonomous
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Capabilities

  • Bounding box annotation – 2D and rotated boxes
  • Semantic segmentation – pixel-level class labeling
  • Instance segmentation – individual object delineation
  • Keypoint and pose estimation annotation
  • Polygon annotation for irregular shapes
  • Image classification and tagging
  • Lane marking and road feature annotation for ADAS

Video Annotation

Frame-by-frame precision for dynamic scene understanding

Video annotation requires spatial and temporal consistency that static image labeling cannot provide. Our video annotation teams use professional tooling to track objects across frames, ensuring your models learn real-world motion patterns accurately.

Autonomous VehiclesSurveillanceSports AnalyticsAction Recognition
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Capabilities

  • Object tracking – consistent IDs across frames
  • Action recognition and activity labeling
  • Scene classification and segmentation
  • Human pose and skeleton annotation across frames
  • Event detection with timestamp precision
  • Traffic scene annotation for autonomous vehicles
  • Sports analytics annotation

Audio Annotation

Clean transcriptions and rich labels for voice-first AI

Voice AI requires training data that captures the full complexity of human speech – accents, emotion, overlapping speakers, and background noise. Our audio annotation specialists handle everything from clean studio recordings to noisy real-world audio.

Voice AssistantsCall Center AIAccessibility ToolsASR Models
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Capabilities

  • Speech-to-text transcription – verbatim and clean-read formats
  • Speaker diarization – who said what and when
  • Emotion and sentiment detection in speech
  • Sound event and acoustic scene classification
  • Noise labeling and audio quality tagging
  • Multilingual transcription (English, Vietnamese, Thai, Malay, Mandarin)
  • Wake word and keyword spotting dataset creation

3D Point Cloud Annotation

Spatial intelligence for robots and autonomous systems

LiDAR-based perception is the foundation of autonomous vehicles and industrial robotics. Our 3D annotation specialists work directly in point cloud environments to deliver precise spatial labels that your perception models can rely on.

Autonomous VehiclesRoboticsMappingIndustrial Automation
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Capabilities

  • 3D bounding box annotation for vehicles, pedestrians, cyclists
  • Semantic segmentation of point cloud scenes
  • Ground plane and road surface detection
  • Lane boundary and curb annotation in 3D space
  • Fusion annotation – LiDAR + camera data alignment
  • Instance-level object labeling in 3D
  • Radar and depth map annotation

Document & OCR Annotation

Turning unstructured documents into AI-ready structured data

Enterprise document intelligence requires accurate extraction and classification of structured information from complex layouts. Our document annotation teams handle everything from handwritten forms to dense financial tables with high fidelity.

IDP PlatformsFinancial AILegal TechHealthcare Records
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Capabilities

  • OCR correction and ground truth generation
  • Table detection and cell-level extraction
  • Form field identification and value extraction
  • Document classification by type and category
  • Key-value pair annotation for IDP models
  • Layout analysis – header, body, footer, sidebar detection
  • Handwriting transcription and annotation

Frequently Asked Questions

Everything you need to know before starting a project with us.

What types of data annotation does DataXanno support?

We support six data types: NLP and text annotation, image annotation, video annotation, audio annotation, 3D point cloud annotation, and document/OCR annotation. Each service is staffed by specialist teams trained for that modality.

How long does a typical data annotation project take?

Small projects (under 10,000 assets) can be completed within 5–10 business days. Large-scale projects are scoped individually, but most clients go from contract to first delivery within 48 hours. We provide a detailed timeline and milestone plan before work begins.

What quality assurance processes do you use?

Every project uses a multi-pass QA workflow: annotators complete initial labeling, a senior reviewer audits a statistically significant sample, and a final QA pass resolves any conflicts. We target 99%+ inter-annotator agreement and provide accuracy reports with each delivery.

Do you support Southeast Asian languages for NLP annotation?

Yes. Our NLP teams work natively in English, Vietnamese, Thai, Malay, and Bahasa Indonesia, with coverage for Mandarin and other APAC languages on request. Native speakers handle transcription, labeling, and cultural nuance – not machine translation.

How is my data kept secure?

All data is transferred over encrypted connections (TLS 1.2+). Annotators work within controlled environments with NDA coverage. Data is stored only for the duration of the project and deleted on request post-delivery. We can accommodate on-premise or air-gapped workflows for highly sensitive datasets.

What are your pricing models?

We price per asset, per hour, or on a fixed project basis depending on the annotation type and complexity. We provide a detailed quote within 24 hours of receiving a project brief. Contact us to get a free scoping call and cost estimate.

Can you scale to large annotation volumes quickly?

Yes. We maintain a trained annotator pool across all data types and can scale to hundreds of annotators within days for high-volume projects. Our project managers handle workforce allocation, QA staffing, and delivery scheduling end to end.

Do you work with annotation tools my team already uses?

We are tool-agnostic and work with most major platforms including Label Studio, Scale AI, CVAT, Labelbox, and Roboflow. We can also work within your proprietary internal tooling. If needed, we can recommend and set up a suitable tool as part of onboarding.

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