AI Training Data Services

The cost of AI data services depends on the complexity of your project. Therefore, we create custom quotes depending on your requirements. Here are some factors that determine project cost:

• Type of service required (data collection, human-in-the-loop model validation, labeling/annotation, transformation, or any combination of these)
• Data collection complexity (source diversity, data access constraints, data formats needed)
• Data volume to be processed
• Annotation complexity (bounding boxes on clear images vs. multi-class segmentation)
• Domain expertise required (general vs. domain specialists)
• Quality requirements (single annotator vs. triple consensus)
• Project timeline (rushed timelines typically require additional resources, and hence, cost more)

You can request a quote (for free) by mailing your requirements to info@suntecindia.com.

If you prefer a specific annotation tool (e.g., CVAT, Labelbox, V7, Supervisely), the labeled data can be delivered in the native output format of that tool, such as COCO JSON, JSON, YOLO, Pascal VOC XML, CSV/TSV, CoNLL, PCD, etc. If you use a custom or in-house annotation or ML pipeline, the data can be formatted to plug directly into your systems. If you use a unique or non-standard data structure (fields, labels, naming conventions, file types), you can share the schema, and we will deliver according to those requirements.

AI data services provide essential, high-quality, labeled data to train and power artificial intelligence models and manage the entire data lifecycle for AI development. It includes AI data collection service, data annotation (tagging) service, data validation, and data preparation (cleansing, data enrichment, standardization) to ensure that the final training data for AI is accurate and unbiased.

Key AI data services we provide include:

• Custom Data Collection Services for AI/ML
• Data Transformation & Curation Services
• Data Annotation Services
• Human-in-the-Loop Validation Services
• Generative AI Data Services
• Natural Language Processing (NLP) Data Services
• Reinforcement Learning from Human Feedback (RLHF)
• Adversarial Red Team Testing

The AI training data you get with our ground truth data services can be used to train, retrain, or improve the performance of AI/ML/LLM solutions for applications in multiple sectors, like autonomous vehicles, healthcare, finance, legal, etc.

• Autonomous Driving: Videos, LiDAR & sensor data, and image labeling for objects such as pedestrians, vehicles, lanes, and traffic signals to train computer vision and sensor-fusion models used for perception, navigation, and collision avoidance.
• Retail & E-commerce: Product images, descriptions, reviews, and customer interaction data is labeled to train recommendation engines, computer vision models, and LLMs that power personalization, visual search, product discovery, and customer engagement.
• Healthcare & Life Sciences: Medical images (X-rays, MRIs), clinical text, audio notes, and structured health records are labeled to train diagnostic ML models, NLP systems, and LLMs, supporting medical imaging analysis, clinical decision-making, and documentation automation.
• Finance & Banking: Labeling text data, such as transaction data, customer behavior records, documents, communication logs, etc., to train ML models and LLMs for fraud detection, credit risk assessment, regulatory compliance, and automated customer support.
• Media, Search & Generative AI: Text, image, audio, and video datasets are annotated to train LLMs, multimodal models, and generative AI systems for content creation, search relevance, moderation, summarization, and personalization.
• Legal & Compliance: Annotating contracts, case files, statutes, and legal correspondence to train NLP models and LLMs for document classification, clause extraction, legal research, etc.