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About DataSort

Reimagining how you sort and clean data with AI.

Our Mission

We believe that organizing data shouldn't be a chore. DataSort was built to bridge the gap between messy, raw spreadsheets and clean, actionable insights. By leveraging the power of advanced AI, we automate the tedious task of data cleaning, formatting, and complex file merging.

Supported by Google for Startups

DataSort is a recognized member of the Google for Startups Cloud Program. This partnership provides us with the scalable, secure, and world-class infrastructure needed to process your complex datasets safely and instantly using state-of-the-art AI models.

AI-Powered

Powered by Google's Gemini models, our engine understands context, fixes errors, and structures or merges data intelligently.

Privacy First

We process your files securely. Your data is yours, and we prioritize your privacy and security above all else.

Empowering Our Community

We believe in sharing our success with the people who love our data sorting platform. That is why we instituted the DataSort Affiliate Partner Network.

Our high paying affiliate program offers up to 40% recurring commission for lifetime sales, making it one of the most lucrative and reliable software affiliate programs in the AI data management industry. Whether you are a professional data analyst, business software reviewer, or B2B content creator, you can generate steady passive income by recommending an industry leading AI Excel and CSV file cleaner that genuinely solves complex data structuring bottlenecks for businesses.

Our Technology

Google Gemini

Context-aware LLM for semantic data understanding, cleaning, and smart merging.

SheetJS

Robust client-side file parsing ensuring data never leaves your device unnecessarily.

Firebase

Secure, scalable infrastructure backed by Google Cloud standards.

Meet the Team

Maaz

Muhammad Maaz Ul Haq

Founder & Lead Engineer

Full-stack engineer building AI-first data tools. Focused on making serverless data cleaning accessible to everyone.

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