Transform Raw Data into High-Quality, AI-Ready Datasets
Our data cleansing services ensure your data is accurate, consistent, and free of errors, providing a solid foundation for reliable and high-performing AI models.
Trusted by Innovators Across Industries
Why P-Cleanse
Garbage In, Garbage Out. Quality In, Performance Out.
The quality of your AI is directly tied to the quality of your data. We ensure your data is a pristine asset, not a liability.
Enhanced Data Accuracy
Eliminate inconsistencies, errors, and noise to create a pristine dataset that improves the accuracy and reliability of your AI models.
Bias Mitigation & Fairness
Identify and address skews and imbalances in your data to build fairer and more ethical AI systems that perform equitably across different demographics.
Improved Model Performance
High-quality, clean data is the foundation of high-performing models. Reduce training time, improve generalization, and achieve better results with clean data.
How It Works – Four Steps to Success
Our streamlined four-step process ensures high-quality results with fast turnaround times.
1. Data Profiling
Analyze your raw data to identify quality issues, inconsistencies, missing values, and outliers.
2. Cleansing & Normalization
Apply customized scripts and rules to correct errors, de-duplicate records, and normalize data formats.
3. Validation & Enrichment
Validate data against predefined rules and enrich it with external sources to enhance its value.
4. Quality Reporting
Receive a detailed report on the data quality improvements and the final cleansed dataset.
Customer Success Stories
Discover how leading companies have achieved breakthrough results with Pulan AI's data annotation services.
Financial Services
99.8% Data Consistency
A wealth management firm achieved 99.8% data consistency across its client records by cleansing and standardizing over 10 million entries.
Healthcare
30% Reduction in False Positives
By cleansing patient data and removing noisy signals, a medical research group reduced false positives in their predictive models by 30%.
E-commerce
25% Uplift in Product Data
An online retailer uplifted their product catalog quality by 25% by de-duplicating listings and standardizing attributes, improving search and recommendations.
Blog & Resources
Stay ahead of the curve with our latest articles on AI trends, technologies, and best practices.
Ready to Build the Future?
Let's discuss how our data solutions can accelerate your AI initiatives.