"Transparency builds trust. We use AI to analyze your work, and we're honest about it."
1. AI-Powered Analysis
ARGUS-Thesis uses Google Gemini 2.5 AI to analyze your manuscript. Your thesis text is sent to Google's API for processing. While Google states they don't use API data for training, your content does leave our servers during analysis.
What we DON'T do:
• Store your manuscript in our database
• Share your content with third parties
• Use your data for training our own models
2. No Database Storage
We do not maintain a database of user submissions. We do not write log files containing your intellectual property. Only audit metadata (claim count, status, timestamps) is retained for billing and analytics.
3. Session Cleanup
Upon clicking "End Session", the system performs a memory cleanup and generates a Deletion Certificate. This is a timestamped hash proving the destruction of the session's temporary keys and data structures.
4. Google's Privacy Commitment
Google Gemini API is subject to Google's Enterprise Data Privacy policies. According to Google's terms, API data is not used for training models. However, your content is processed on Google's infrastructure during analysis.
For maximum privacy: If your research is highly sensitive, consider using the manual text paste option and reviewing your content before submission.