Privacy Policy

Softronics Innovations ("Data Controller") is committed to safeguarding your Personally Identifiable Information (PII) and highly sensitive unpublished research data. We collect information through the following vectors:

• Account Credentials: Institutional email addresses, ORCID identifiers, and cryptographic authentication tokens.
• Manuscript Payload: Raw text, figures, and datasets uploaded to our Dynamic Matrix Formatting engine for structural compliance validation.
• System Telemetry:Usage records (which tool was used, and when) that meter your plan’s allowances and help us improve the compliance checks.

We deploy military-grade security architectures to prevent premature disclosure of academic findings. All manuscript assets are encrypted in transit utilizing TLS 1.3 and at rest via AES-256 block-level encryption.

We strictly adhere to GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) frameworks. Softronics Innovations claims zero intellectual property rights over processed manuscripts; your research remains exclusively yours.