DataPura

• Row Sampling: Purify your datasets by pulling clean, randomized row samples for quicker testing, model training, or focused analysis.

• Value-Based Row Removal: Automatically clean your data by removing rows with unwanted or invalid values, keeping only the insights that matter.

• Smart Data Imputation: Fill gaps in your data with advanced imputation methods (mean, median, mode, or interpolation) to ensure a polished, analysis-ready dataset.

• Column Renaming: Enhance the readabilty of your dataset by renaming columns with clarity and consistency, making your data easier to share and analyze.

• Column Dropping: Effortlessly clean your data by removing irrelevant or redundant columns, leaving only the features that drive real insights.

• Value Filtering & Removal: Purify datasets by removing or filtering values above, below, or within a range, giving you precise control over data quality.

• Duplicate Row Removal: Eliminate duplicate entries in your dataset while keeping the version you need, ensuring accuracy and consistency.

• Missing Data Handling: Identify and manage missing values with detailed insights and flexible thresholds, so your dataset stays reliable.

• Case Conversion: Standardize text formatting across columns by converting to lower, upper, title, or capitalized case for cleaner, more consistent data.

• Whitespace Cleaning: Remove extra spaces from text fields to ensure cleaner, standardized string data for better accuracy in analysis.
  
  

• Date Standardization: Convert messy or inconsistent date formats into a uniform structure (like YYYY-MM-DD) for easier filtering, sorting, and reporting.
  
  

• Numeric Formatting: Clean and format numeric fields by stripping symbols, fixing decimals, and ensuring consistent number formatting across your dataset.

• Category Normalization: Standardize messy categorical values using fuzzy matching, ensuring consistent labels for cleaner, more reliable analysis.
  
  

• Character Cleaning: Strip away irrelevant characters, HTML tags, and symbols from text columns to maintain high-quality, analysis-ready data.
  
  

• Numeric Normalization: Apply Min-Max scaling to numerical columns, standardizing values for machine learning models and advanced analytics.
  
  

• Unique Value Extraction: Generate lists of unique items per column (with optional counts) to quickly explore and validate your dataset.

• Find Minimum and Maximum Values: Quick identification of the smallest and largest values in your dataset with a single command. Perfect for spotting outliers, validating ranges, or just getting a quick sense of your data’s spread.

• One-Hot Encoding: Easily convert categorical variables into machine-friendly numerical columns. Each category gets its own column, making your dataset ready for advanced ML models while keeping everything human-readable.

• Target Encoding: Transform categorical values into numerical representations based on their relationship with a target variable. This technique is especially powerful in predictive modeling, where it can improve accuracy by capturing patterns that one-hot encoding misses.

• Frequency Encoding: Replace categorical values with their relative frequencies. Great for compressing categorical data, reducing dataset size, and giving ML models compact yet meaningful input without exploding the number of columns.

• Multiple Output Formats: Get your dataset in either CSV, JSON, JSONL or Excel Formats, giving you flexibility to go for your desired and needed format.

IMPORTANT NOTE: The prices shown are starting points. Every dataset comes with its own challenges, and we review each one carefully to make sure it gets the attention it deserves. Once we’ve assessed your dataset’s complexity, you’ll receive a finalized quote via email before we begin.

Basic Purifying– Starting at $449.99

Up to 10,000 rows — ideal for personal projects, MVPs, or early-stage models.

• Full cleaning

• Output in your preferred format (CSV, Excel, JSON, JSONL)

• Delivered in 2-4 business days

• One free revision included

• Money-back guarantee if it’s not up to standard

• Priority Queue Add-On (24hrs delivery) available (+$199.99)

Professional Purifying – Starting at $899.99

10,001 to 50,000 rows — more data, same precision.

• Everything from Basic Purifying

• Performance-optimized pipeline

• Delivered in 2-4 business days

• Priority Queue Add-On (48hrs delivery) available (+$399.99)

Enterprise Purifying – Starting at $1,349.99

50,001 to 100,000rows — built for scale.

• Eveyrthing from Professional Purifying

• Same expert treatment, supercharged for larger datasets

• Delivered in 4-6 business days

• Priority Queue Add-On (2-3 business days delivery) available (+$599.99)

Custom Enterprise Purifying

More than 100,000 rows?

Email us at: onboarding@data-pura.com with your dataset details.

Large-scale projects get a tailored approach.

1. Submit your request
Fill out the order form (be sure to copy your exact dataset name into the required field) or reach us directly at onboarding@data-pura.com.

2. Receive your quote
We’ll respond quickly with the exact price and ETA. At this stage, we’ll also confirm whether the Priority Queue option is available and outline the initial project scope.

3. Secure your order
You’ll receive a secure payment link (Options are a direct PayPal link or USDT through Trust Wallet). As soon as you put down the deposit and it's confirmed, we’ll finalize the project scope together and immediately begin working on your dataset.

4. Get your delivery
When your dataset is ready, you’ll receive a private Dropbox link to download your cleaned file.

Our Promise: Your Satisfaction, Guaranteed

At DataPura, our goal is to get it right on the first pass — but we also know that details matter. This policy ensures every client knows exactly how we handle revisions and refunds, keeping things fair, clear, and transparent. 

1. Complimentary First Revision

Your satisfaction comes first. Every project includes one complimentary revision to make sure your delivery perfectly matches the agreed project scope — including format, fields, operations, and structure.

How it works:

• You can request your revision within 3 business days of receiving your cleaned dataset.

• All feedback should be sent in one organized list, so we can address everything efficiently in a single update.

• The revision applies only to the same dataset we originally worked on. Any new or updated files are treated as a new order.
  
  

If, after your free revision, we still haven’t delivered results that match the agreed project scope, you’re eligible to request a partial refund under our Money-Back Guarantee (see below).

2. Additional Revisions

If you’d like changes beyond your complimentary revision — such as new preferences, additional cleaning steps, or a modified dataset — we’ll quote a fixed revision fee based on your service tier:

• Basic Purifying — 2nd: $59.99 · 3rd: $99.99 · 4th: $149.99

• Professional Purifying — 2nd: $119.99 · 3rd: $199.99 · 4th: $299.99

• Enterprise Purifying — 2nd: $199.99 · 3rd: $399.99 · 4th: $599.99

• Custom Purifying — Quoted individually
  
  

Paid revisions are typically completed within 2-4 business days after payment and clarification. We always confirm the scope, fee, and timeline before starting.

3. What Counts as a Revision

Revisions are designed to correct or adjust the original delivery to meet the agreed project scope. They do not include:

• New or complex cleaning operations not agreed upon before starting

• Entirely new datasets

• Large structural changes (adding >10% new rows or extra columns outside the original scope)

4. Money-Back Guarantee (Refund Policy)

We stand by our work and your satisfaction. If, after the complimentary revision, your dataset still does not meet the agreed scope, you may request a partial refund (50%) under the following conditions:

Eligibility:

• The refund request is made within 4 days of the free revision delivery.

• The issue is clearly due to our error — such as format, structure, or operation mismatches relative to the confirmed project scope.

• Refunds are not available for incomplete or unclear client instructions.

• Once a paid revision is requested or approved, the refund option is no longer available.
  
  

Delivery Delays:
We commit to meeting agreed deadlines. If we anticipate a delay, we’ll notify you in advance. Refunds for missed deadlines apply only if we fail to deliver without prior notice or your approval.

5. Why This Policy Exists

This approach keeps things balanced — you get the assurance that your investment is protected, while we maintain the structure needed to deliver fast, high-quality results. Fixing things first is almost always faster and cleaner than starting over, and if it still isn’t right, our Money-Back Guarantee ensures you’re never left empty-handed.

Effective Date: 2025/10/14

1. Introduction

At DataPura, your trust is our highest priority. We understand how valuable and sensitive your data is, and we are committed to protecting it with the highest security standards available. This Privacy Policy explains how we collect, use, store, and protect your information when you engage with our services or visit our website.

This policy applies to all DataPura clients, visitors, and users of our platform.

2. Information We Collect

We collect and process only the information necessary to deliver our services effectively and securely.

a. Client-Provided Data

When you work with us, we may receive datasets, documents, or other files necessary for project execution. These materials remain your exclusive property and are handled under strict confidentiality.

b. Personal Information

To facilitate communication and billing, we may collect personal identifiers such as:

• Full name

• Company name

• Email address

• Payment or invoicing details
  
  

We do not collect personal information unnecessarily and never sell or rent it to third parties.

c. Automatically Collected Data

When visiting our website, certain technical data may be collected automatically (e.g., IP address, browser type, device information). This helps us analyze site performance and improve user experience.

3. How We Use Your Information

We use your information strictly for the following purposes:

• Delivering agreed-upon data processing or analytics services

• Communicating about project updates or technical support

• Improving our internal processes and system security

• Meeting legal or contractual obligations
  
  

We do not use your data for marketing or profiling without explicit consent.

4. Data Storage and Retention

All client datasets are processed in isolated, encrypted environments.
We retain your data only for the duration of the project. Once final deliverables are provided and accepted, all associated files, datasets, and backups are permanently deleted from our systems unless otherwise requested by you in writing.

Personal or transactional data required for legal or accounting purposes may be retained for a limited period in compliance with applicable regulations.

5. Security Measures

DataPura implements multiple layers of protection to prevent unauthorized access, alteration, or disclosure:

• End-to-end encryption (AES-256, SSL/TLS protocols) for data transfer and storage

• Role-based access control, ensuring only authorized personnel handle client data

• Secure authentication and audit logs for accountability

• Regular vulnerability assessments and infrastructure monitoring
  
  

We treat every project environment as isolated, with zero cross-access between clients.

6. Third-Party Services

In some cases, we rely on trusted third-party tools (such as Dropbox or Tally) or cloud infrastructure (such as AWS, Google Cloud, or Azure) for secure hosting and computation.
All vendors we work with comply with internationally recognized data protection standards (GDPR, ISO/IEC 27001, or equivalent).

We do not allow any third party to access or use your data for their own purposes.

7. Client Rights

Depending on your jurisdiction, you may have the right to:

• Access a copy of your stored data

• Request correction or deletion of personal information

• Withdraw consent for data processing

• Request confirmation that your data has been deleted after project completion
  
  

To exercise any of these rights, contact us at support@data-pura.com .

8. Cookies and Website Analytics

Our website may use cookies or analytics tools (such as Google Analytics) to understand visitor behavior and improve usability.
You can manage or disable cookies through your browser settings. No personally identifiable information is stored or shared through cookies.

9. Compliance and Legal Basis

DataPura adheres to internationally recognized data protection frameworks, including the General Data Protection Regulation (GDPR) (EU), the California Consumer Privacy Act (CCPA) (US), and the DIFC Data Protection Law (UAE).

Our compliance is grounded in the following principles:

• Transparency: Users are clearly informed about what data is collected, why it is collected, and how it is used.

• Purpose Limitation: Data is processed solely for the purposes of providing analytics, cookie functionality, and fulfilling client projects.

• Data Minimization: Only essential data required for proper service operation is collected and processed.

• User Rights: In line with the GDPR, CCPA, and DIFC standards, users and clients may request access to, correction of, or deletion of their personal data at any time by contacting us at [insert email].

• Consent and Control: Cookies and analytics tools operate only with user consent, and all personal or project-related data is handled in an encrypted environment.

• Retention and Deletion: All client datasets and related materials are securely deleted immediately following project completion unless otherwise requested in writing.

• Third-Party Limitation: We rely on minimal third-party services and ensure that any third-party tools used meet equivalent data protection and security standards.
  
  

By following these principles, DataPura ensures that its operations align with the intent and key requirements of the GDPR, CCPA, and DIFC Data Protection Law without imposing unnecessary administrative burdens on clients or users.

10. Non-Disclosure Commitment

Every project is bound by a strict Non-Disclosure Agreement (NDA).
We will never disclose, replicate, or reuse client data or project insights without explicit permission.

11. Policy Updates

We may update this Privacy Policy periodically to reflect new legal, technical, or operational developments.
The latest version will always be available on our website, along with the date of revision.

12. Contact Information

If you have any questions, concerns, or data requests related to this policy, please reach out to:
support@data-pura.com .

My name is Ali Bekhradi.

I’m a data science specialist passionate about dataset cleaning, preparation, and AI model fine-tuning. Over the past year, I’ve worked extensively with complex, messy datasets — building solutions that make AI models more accurate and efficient.

DataPura grew from a year of hands-on experimentation, where I developed a custom data preparation toolkit tested and refined across three major projects. Each iteration improved speed, reliability, and usability — shaping the professional-grade system we use today to deliver clean, structured, and ready-to-train data for any AI workflow.