1. Purpose of This Policy

DataLumio is an AI-powered research data analysis platform. This policy explains: • How our AI analyzes uploaded data • Whether your data is used for AI training • AI capabilities and limitations • Data retention practices • Research data protection standards

2. How DataLumio's AI Works

When you upload data and submit a research question: 1. Ingestion: Your uploaded file is securely received. 2. Pre-processing: Data is cleaned and structured. 3. AI Analysis: AI identifies themes, patterns, relationships, and insights. 4. Report Generation: Reports, charts, tables, and visualizations are created. 5. Delivery: Results are available in your dashboard.

2.2 Types of Analysis DataLumio Performs

Qualitative Analysis: • Thematic analysis • Pattern identification • Sentiment analysis • Coding and categorization • Cross-case comparison Quantitative Analysis: • Statistical summaries • Frequency tables • Trend identification • Data visualization Mixed Methods: Combining qualitative themes with quantitative patterns.

3. Your Data Is Never Used to Train Our AI

DataLumio does not use your uploaded research data to: • Train AI models • Fine-tune models • Benchmark models • Improve third-party AI systems Your research data exists only to provide the requested analysis.

5. Third-Party AI Infrastructure

Where third-party AI providers are used: • Data is processed only for your request • Providers cannot train their models using your data • Only required information is shared • Security standards are maintained

6. What Our AI Does Well — and Limitations

AI Strengths: • Fast analysis of large datasets • Consistent processing • Structured reports • Research-question-focused insights Important Limitations: • AI can make mistakes • AI does not replace researcher judgment • Outputs require human review • AI should not be the only source for high-stakes decisions

7. Research Ethics and Participant Data

DataLumio does not manually review uploaded research files. Researchers are responsible for: • Obtaining participant consent • Following ethical requirements • Having legal rights to upload data • Following applicable privacy laws

8. Acceptable Data Types and Restrictions

Supported: • Interview transcripts • Research datasets • Survey exports • Observational notes • Mixed-method files Not allowed: • Illegal data • Unauthorized confidential data • Government classified information • Data without proper ethical approval

9. AI Output Accuracy Disclaimer

AI-generated reports are for research assistance only. They are not: • Professional advice • Independently verified research • Guaranteed complete findings Users should apply their own expertise before making decisions.

10. Changes to This Policy

DataLumio may update this policy as AI capabilities, infrastructure, or regulations change. The Last Updated date reflects the latest revision.

11. Contact Us

DataLumio Website: datalumio.co Email: info@datalumio.co Contact Form: datalumio.co/contact-us