Built to earn the trust of both sides of campus
Pre-launch, in pilot with partner universities — architecture and data-handling documentation available for review on request.
Pre-launch · in pilot with partner universities
Architecture · design principles
How we are building data protection
Separation by institution
Designed so that each institution’s data is logically separated and protected by access controls.
Your material is not our training data
Study Master does not use users’ academic data to train its own models.
Purpose-limited processing
Data is processed only by the services required to deliver the features you use, under applicable privacy and security controls.
Access logging by design
The platform is being built to record account and administrative activity; the events recorded and their retention will be documented at launch.
The Study Master application is pre-launch. These are the principles it is being built on — not a description of a deployed system.
Two audiences, two very different fears
We designed for the worst-case scenario an administrator imagines, and the quiet anxiety a student never says out loud.
For administrators & directors
When the worst case is a headline
Data leaks, compliance failures, IP loss, and academic integrity breaches — handled before they can become one.
Institution-scoped data separation
Designed so that each institution’s material is logically separated from every other institution’s and reachable only through that institution’s own permissions.
Built on recognised privacy principles
Data practices are designed taking into account the principles of Angola’s Personal Data Protection Act (Law No. 22/11), FERPA and the GDPR. No certification or formal compliance validation is claimed.
Controlled AI processing
Curriculum, exams and slides are processed only by the services needed to deliver the feature in use — never for data resale or advertising.
Access logging, documented for review
The platform is being built to log account and administrative activity. Which events are recorded, how long they are kept and who can consult them will be documented for institutional review at launch.
For students
Nothing here gets you in trouble
Your drafts stay yours, your account stays safe, and no one is quietly grading how you use this.
Your drafts stay private
Designed so that your uploads, chats and study history are not exposed to professors, administrators or other students.
No penalty for studying with AI
Study Master is built to be deployed with your institution’s agreement, as an approved study tool — not something you have to hide.
Private, purpose-limited processing
Your files are processed only by the services required for the feature you are using, and are never sold or shared for advertising.
Aggregate-only faculty views
Faculty dashboards are designed to show only anonymised, aggregate trends — not an individual student’s activity.
Study Master vs. commercial LLMs
Retail chatbots were built to improve their own models with your input. Study Master is built the other way round: your academic data is not training data for our models.
Study Master
Dimension
Data training
Not used to train Study Master’s models
Data storage
Stored securely, only as long as the service and applicable obligations require
Monetization
Software licensing only
Third-party sharing
Not sold, rented or shared for advertising; processing limited to the providers a feature requires
FERPA / GDPR academic compliance
Designed with these principles in mind
Separation between institutions and accounts
Logical separation by institution and account (by design)
No commercial data monetisation
Licensing revenue only
Commercial LLMs (ChatGPT, Claude retail)
Dimension
Data training
Inputs can be used to retrain models
Data storage
Conversations persisted and synced across devices
Monetization
Data & engagement can factor into monetization
Third-party sharing
May be shared with partners/subprocessors
FERPA / GDPR academic compliance
Not built for academic records
Separation between institutions and accounts
Shared, general-purpose environment
No commercial data monetisation
Data can inform ads & products
FAQ
Common questions about data & privacy
Clear answers on how we protect your data — no fine print.
Where are my documents stored?
Your files are processed only by the services required to deliver the feature you are using, protected in transit, and kept only as long as the service and applicable obligations require. They are never sold, and they are not used to train Study Master’s own models. Our Privacy Policy sets out the categories of provider involved and how long data is kept.
Do you sell academic data to third parties?
Never. Study Master earns revenue exclusively from direct software licensing — not from selling, renting, or sharing data with commercial partners or advertisers.
Can a university audit our platform's security compliance?
Yes. A security review walks your IT or compliance team through the architecture and our data-handling documentation, stating plainly what is deployed today and what is still in design. Formal audit artefacts and access-log export will be available as those capabilities ship — book a call below.
How does Study Master protect against standard LLM data leakage?
Study Master does not use users’ academic data to train its own models. Where an external AI provider is required for a feature, it is engaged under configurations and contracts intended for service delivery only. The application is designed so that each institution’s data is logically separated and protected by access controls.
Can my professor see my private study drafts or chat history?
No. Student activity is designed to stay private by default — faculty dashboards are built to show only anonymised, aggregate trends, never an individual student’s uploads or conversations.
What happens to my files if I close my account?
Your account and the materials linked to it are deleted from active systems on request, according to the retention schedule in our Privacy Policy. Backups, and records we must keep for legal or security reasons, expire on their own documented schedule.
For universities
Book a free security & compliance review
Bring your IT or compliance lead. We'll walk through architecture, access logs, and enterprise deployment options.
Available times —