Data Preparation Services

Identifying and rectifying inaccuracies, inconsistencies, and missing values in datasets to ensure data quality.

Our Data gathering services collect data from any type of source: full-stack integrations, custom APIs, flat files, platform connectors etc. that can be used for training AI models of your choice.

Combining data from various sources and formats into a unified, structured dataset for analysis.

Converting data into a common format, aggregating or disaggregating information, and creating new features for modeling.

Removing irrelevant or redundant data to reduce noise and improve model accuracy.

Filling in missing data using statistical techniques to maintain data completeness.

Ensure uniform data formats and units of measurement for consistency and compatibility.

Scale and transform your data to fall within a specific range, making it suitable for machine learning algorithms.

Enhance your datasets with external data sources to provide additional context and insights.

Verify your data accuracy, consistency, and adherence to predefined rules and constraints.

Split your datasets into subsets based on criteria like time, geography, or other relevant factors for analysis.

Conduct comprehensive data quality assessments, identifying and quantifying issues in the dataset.

Data Digitization services are a core enabler of digital transformation across several industries. We employ tools that speed up this process for you, while maintaining high-levels of accuracy and inter-operability.

AI Models are only as good as the data they are trained on, and Data Tagging ensures the quality and productivity of your models.

Our annotation services allow us to label and categorize videos and images at scale and set up systems for deep learning and more advanced automation.