Training data services collect, clean, label and quality-check the examples that machine learning models learn from, such as tagged images, classified documents or transcribed audio, and can generate synthetic data where real examples are scarce.
Model quality depends on training data quality. We provide accurate data labelling and annotation for images, video, text and audio, and generate synthetic data to fill gaps, protect privacy and cover rare edge cases.
Supply high-quality labeled datasets to train AI models. At Prominent AI Services LLP, we deliver AI training data services end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Supply high-quality labeled datasets to train AI models.
Ideal for: AI Startups, R&D Labs, Autonomous Systems. We start with a short onboarding to understand your data and goals, configure the service, agree service levels and then deliver continuous updates, reports and improvements under a transparent monthly plan.
We use annotation tools such as Label Studio and CVAT for images, video, text and audio, with bounding boxes, segmentation, entity tagging, classification and transcription. Quality is controlled through double labelling, agreement scoring, expert review of disagreements and gold-standard test items. Model-assisted labelling speeds up the work, and synthetic data is generated with augmentation and generative models in Python. Data is stored securely in Azure or AWS.
Choose a one-time dataset project or an ongoing labelling service as your models grow. Labelled data is used in computer vision, NLP, speech AI and model fine-tuning. For cleaning existing data, see data cleaning and preprocessing.
Need labelled data for your model? Describe the data and labels you need, and we will provide a quote and timeline. Start your AI journey.
Common questions about our Training Data Services services.
Clear guidelines, trained annotators, multi-level review and quality metrics such as inter-annotator agreement.
It augments small datasets, simulates rare scenarios and replaces sensitive records while preserving statistical patterns.
Yes. Our processes scale with project size while maintaining agreed quality levels and turnaround times.
Pricing depends on the data type, the complexity of the labels and the quality checks required. Simple classification costs much less per item than detailed image segmentation. We quote per item or per hour after a pilot batch.
A pilot batch usually takes one to two weeks. Full projects range from a few weeks to several months, depending on volume and complexity.
Labelling is done in access-controlled environments, personal information can be masked before labelling, and staff work under confidentiality agreements. We can also label inside your own environment.
Yes. We can label and transcribe text and audio in Hindi and several other Indian languages, as well as English.
