Smarter data transformation techniques
Turn raw inputs into labeled, structured signals with workflows that stay consistent as volume grows.
Data Annotation
Labeling and annotation for the full AI lifecycle.
Turn raw inputs into precise, reviewable labels across computer vision, speech, language, and multimodal AI, with quality review that connects to training, testing, evaluation, validation, and deployment.
Labeling within end-to-end AI enablement
Turn raw data into training-ready, evaluation-ready signals.
Annotation is a core stage in Sinorax AI's lifecycle, Data, Labeling, Training, Testing, Evaluation, Validation, Optimization, Deployment. We deliver context-rich labels with consistent review loops that feed directly into model training and performance measurement.
- Image
- Text
- Video
- Speech
- Audio
- Digital interface
- Bounding box
- Polygon
- Segmentation
- Classification
- Transcription
- Entity recognition
Data labeling at scale
Leverage our intuitive labeling tools designed to minimize errors, reduce onboarding time, and expedite annotation, for both collaborative and asynchronous annotator teams.
Supported modalities: Image, Text, Video, Speech, Audio, Digital Interface.
Annotation types: Object detection, image classification, image recognition, visual inspection, bounding box, polygon, segmentation, transcription, entity recognition, and speech labeling for voice and audio AI.
Quality assurance at every step
Validate labels against defined criteria, resolve ambiguity, and keep difficult cases in review.
Centralized dashboard for a streamlined workflow
Keep assignments, progress, and feedback in one shared environment for collaborative and asynchronous teams.
Applied annotation
Detail-rich data prepared for AI workflows.
Use structured segmentation and annotation workflows to prepare data for computer vision and multimodal AI projects.
Sinorax AI Annotate
Data annotation workflows built for context, quality, and scale.
Coordinate multimodal labeling, quality review, and structured data validation in one flexible workspace.
Multimodal labeling
Label text, images, video, speech, audio, and digital interfaces with workflows tailored to every modality.
Quality review
Validate task outputs against defined criteria, resolve ambiguity, and keep annotations grounded in real-world context.
Flexible configuration
Configure instructions, task types, review stages, and acceptance criteria around the data and outcomes your project needs.
Workflow coordination
Keep assignments, feedback, task coordination, and progress visibility in one shared environment.
From task to trusted signal
Scalable task coordination for applied AI.
Sinorax AI Annotate supports natural language and generative AI, computer vision and multimodal AI, and operational and applied AI with workflows that remain practical as work scales.
- Data review keeps difficult tasks aligned with project requirements.
- Scalable task coordination provides a reliable route from assignment through quality checks.
- Flexible workflows support collaborative and asynchronous annotation work.
Start with a sample
See how your data holds up in review.
Bring a representative set of images, text, audio, or interface captures. We will help define the labeling schema, the review path, and the quality bar before you scale.
Start a project