Dataset Preparation Services
We prepare high-quality datasets that power accurate and reliable AI models. Our process ensures clean, structured, and fully optimized data ready for training, testing, and deployment.
1. Data Collection
We gather relevant, domain-specific data from trusted sources—web, documents, APIs, images, videos, sensors, and enterprise systems—ensuring coverage, diversity, and accuracy.
2. Cleaning, Formatting & Preprocessing
Your raw data is transformed into well-structured, usable inputs by:
- Removing duplicates, noise, and inconsistencies
- Normalizing formats
- Correcting errors and missing values
- Organizing data for model readiness
3. Labeling & Annotation
We annotate datasets with expert-level precision:
- Text tagging (intent, entities, sentiment)
- Image & video annotation (bounding boxes, segmentation, OCR)
- Document annotation (classification, metadata, extraction)
- Audio transcription & tagging
4. Structuring Documents, Text & Images
We convert unstructured assets into machine-readable formats:
- Document parsing and segmentation
- OCR extraction
- Text structuring
- Image categorization
- Metadata mapping and formatting
5. Dataset Quality Assurance
We perform advanced QA checks to guarantee:
- Consistency
- Accuracy
- Balance
- Noise-free labeling
- Bias detection
- Compliance with standards
Your final dataset is clean, structured, validated, and ready for AI training and fine-tuning.