Your teams don’t have time to build annotation pipelines from scratch. So, we supply the labeled data, enabling your engineers to stay focused on model development, not data ops.
With SunTec.AI, you get high-accuracy training data for AI at production scale across image, video, text, audio, and 3D sensor inputs. Whether you're working with multiple data types or applying ML to a new industry, use case, or dataset type that may not have well-defined labeling standards yet, our data annotation team ensures that you can move from data collection to model testing without operational slowdowns. The training data you get is immediately usable, organized, consistent, and context-aware, so you don’t need to rework or clean it later. Our workflows are designed for speed and consistency, powered by domain-trained annotation teams, secure infrastructure, and ML-assisted tools, and aligned with your taxonomies, QA standards, and delivery timelines.
Benefits of outsourcing data annotation services to SunTec.ai –
From static images to unstructured text, sensor data to streaming video, our annotation services are built to handle the complexity and scale of real-world AI use cases. Whether you're training models for vision, language, audio, or multi-modal fusion, we deliver consistent, high-quality labels across formats.
Image Annotation Service
Bounding boxes, pixel-level segmentation, and keypoint tagging for object detection, classification, and pose estimation.
Read MoreVideo Annotation Service
Frame-by-frame annotation for object tracking, event recognition, and behavior analysis—ideal for surveillance, retail, and autonomous systems.
Read MoreText & Document Annotation Service
Entity extraction, intent classification, sentiment scoring, and document-level tagging for NLP model training across domains.
Read MoreAudio Annotation Service
Transcription, speaker identification, and acoustic labeling (e.g., emotion, event detection) for voice AI and audio analytics.
Read More3D Sensor Fusion Annotation Service
Annotating multi-sensor data (LiDAR, radar, cameras) with cuboids and point cloud segmentation—critical for autonomous vehicles, robotics, and AR.
Read MoreReal-Time Data Annotation Service
Low-latency labeling pipelines that support in-stream data processing for use cases like live video feeds, conversational AI, and sensor-driven decision systems.
Read MoreSemantic Segmentation Service
Pixel-level classification of visual data, enabling AI/ML models to distinguish between classes within complex scenes, essential for detailed scene understanding in applications like AV perception, medical imaging, and smart cities.
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We offer a full spectrum of annotation types, from simple shapes to domain-specific taxonomies, so your training data is both technically precise and contextually relevant. Whether you're building models for computer vision, NLP, or multi-sensor fusion, we ensure your labels align with real-world application logic.
Bounding Boxes, Polygons, Cuboids, Keypoints
Geometric annotation formats for object detection, localization, and pose estimation across 2D and 3D data (e.g., vehicles in traffic scenes, facial landmarks in biometrics, product placement in retail).
Semantic & Instance Segmentation
Pixel-level labeling for scene understanding and object differentiation in high-density environments (e.g., tumor regions in medical imaging, road elements in AV data, crowd analysis in public spaces).
Domain-Specific Taxonomies
Custom label structures tailored to your use case and industry context (e.g., anatomical structures in radiology, SKUs in retail, pedestrians and signage in autonomous vehicle data).
Annotation at scale isn’t just about labeling—it’s about managing complexity, minimizing risk, and delivering consistent quality under production demands. Our infrastructure, processes, and compliance posture are engineered to give ML teams the operational edge they need to ship faster with confidence.
Quality Assurance You Can Trust
We implement rigorous, multi-layered QA protocols to ensure accuracy and consistency—no matter the data volume or domain complexity.
Enterprise-Grade Security & Compliance
Our AI data annotation practices meet the highest standards for data privacy, access control, and regulatory readiness.
Flexible Delivery that Fits Your Stack
Whether you're in prototyping or production, our delivery models adapt to your pipeline needs.
From autonomous driving to clinical diagnostics, our annotation services are built to support mission-critical ML applications. We adapt to the data types, compliance needs, and labeling complexity of each domain so your models are trained on inputs that reflect real-world conditions and outcomes.
Industry / Domain |
ML Use Cases We Support with Data Labeling Services |
|---|---|
Autonomous Vehicles |
Object detection, semantic segmentation, LiDAR annotation, multi-sensor fusion |
Healthcare & Medical AI |
Medical image segmentation, clinical text annotation, diagnosis classification |
Retail & eCommerce |
Product tagging, shelf detection, visual search, sentiment analysis |
Financial Services |
Document classification, fraud detection, PII redaction, sentiment in chat logs |
Legal & Compliance |
Entity extraction, contract review, clause classification, sensitive data tagging |
Conversational AI |
Audio transcription, speaker diarization, emotion detection, intent recognition |
Agriculture & Geospatial |
Crop mapping, land segmentation, satellite image classification |
Industrial IoT & Robotics |
3D sensor annotation, object tracking, anomaly detection in equipment footage |
We handle all major data formats: Image annotation (bounding boxes, segmentation, keypoints), Video annotation (frame-by-frame tracking, event recognition), Text & document labeling (entity extraction, sentiment analysis), Audio annotation (transcription, speaker identification), 3D sensor fusion (LiDAR, radar, camera integration), and Real-time annotation for live data streams.
We maintain 99%+ annotation accuracy through multi-tier review processes, inter-annotator agreement scoring, standardized taxonomies, detailed annotation guidelines, and gold standard datasets. Every project includes human-in-the-loop QA workflows with clear KPIs and SLAs defined upfront.
We're certified for ISO/IEC 27001:2022, ISO 9001:2015, HIPAA, and GDPR compliance. Data is encrypted at rest and in transit, with role-based access controls and full audit logging. We can work within your security requirements including on-premise or hybrid deployments.
Yes, we're HIPAA certified and experienced with regulated data across healthcare, financial services, and other compliance-heavy industries. Our processes include specialized handling for PII, PHI, and other sensitive data types with complete audit trails.
No, we follow your data retention policies and provide certified data destruction. You maintain full ownership and control of your data throughout the engagement.
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