Institutional AI governance your faculty controls.
Curriculum-aligned, secure, measurable — built for university governance.
Study Master is the institutional AI learning platform that gives universities a curriculum-aligned, secure, and measurable alternative to unsupervised AI use — not another chatbot.
Why institutions choose Study Master
Four commitments every deployment is built on.
Governed and secure
One encrypted partition per institution, never pooled across customers, with every login, upload and admin action logged.
Curriculum-aligned
Answers are grounded in the syllabus, reading lists and materials each course approves — not the open internet.
Measurable outcomes
Adoption, study activity and progress per programme and course, as aggregate indicators leadership can track.
Faculty at the centre
Professors review and calibrate response boundaries before go-live; the platform prepares, the teacher teaches.
Built for every role on campus
The same platform, seen from three seats.
Rectors and deans
One institutional answer to a question students already settled: AI is in use. Study Master puts it on approved materials, under institutional rules, with adoption and progress visible per programme.
Professors
Course materials become summaries, flashcards and practice quizzes without extra preparation. Response boundaries are reviewed by faculty before go-live, so outputs follow the syllabus.
IT and compliance
Each institution runs in an isolated, encrypted partition. Documents are never used to train shared models, and files are not routed to third-party AI vendors or ad networks.
Deployment integrated in 3 steps
Deployment runs entirely on our infrastructure — no engineering time required from your IT team.
Syllabus synchronization
We securely ingest your curriculum, exam guidelines, and reading lists into an isolated, access-controlled environment scoped to your institution.
Faculty compliance audit
Your faculty reviews and calibrates every response boundary so outputs align with your pedagogical standards before go-live.
Protected campus launch
Secure credentials roll out to students, with adoption, usage, and outcome metrics visible in your admin dashboard from day one.
What your institution controls
Clear boundaries on both sides: what stays in your hands, and what Study Master will not do.
Institutional controls
Decided by the institution, per programme and course
Content scope
Which materials each course makes available to the AI — and nothing beyond them.
Access
Who can sign in, by programme, cohort and role, with credentials issued by the institution.
Data lifecycle
Retention, export and deletion on request, inside an institution-scoped encrypted partition.
Visibility
Aggregate dashboards for faculty and leadership; no exposure of unnecessary personal data.
Rollout pace
A guided pilot in one programme or faculty first; expansion when the results support it.
What Study Master does not do
Limits stated up front, not in the fine print
No training on your files
Institutional and student documents are never used to train or improve any shared model.
No open-internet answers inside a course
Within a course, responses are grounded in approved materials, not general web content.
No replacement of teaching or assessment
The platform prepares study material and shows progress; grading and academic decisions stay with faculty.
No data resale or ad sharing
Data is processed only to deliver the service — never shared with commercial partners or ad networks.
No fabricated proof
Study Master is pre-launch and in pilot; results are reported as such until institutions publish their own.
Our impact in numbers
Illustrative results from institutions piloting Study Master.
+65%
Efficiency
Faster time-to-mastery reported across pilot cohorts.
-80%
Risk
Fewer plagiarism-related integrity cases after rollout.
97%
Adoption
Students active within the first week of launch.
Let's talk
Book a free 30-minute consultation
Pick a slot. We'll review your institution's needs and outline a rollout plan.
Available times —
Questions from university leadership
Straight answers on oversight, data and rollout.
What visibility does leadership get into usage?
The institutional dashboard shows adoption, study activity and progress by programme and course — aggregated indicators that support pedagogical decisions without exposing unnecessary personal data.
How long does a university pilot take?
A typical pilot launches in a few weeks: programme selection, secure ingestion of syllabi and materials with our team's support, a faculty calibration pass, and short training sessions for faculty and students.
Can the institution limit what the AI draws on?
Yes. Inside a course the AI answers only from the approved materials the institution and its faculty provide. Faculty review and calibrate response boundaries before go-live.
Who owns the data the institution and its students upload?
The institution and its students. Study Master processes it only to deliver the service, stores it in an institution-scoped encrypted partition, never uses it to train shared models, and deletes it on request. Data practices map to Angola's Personal Data Protection Act (Law No. 22/11) and to FERPA/GDPR principles.
Does Study Master replace professors or assessment?
No. It prepares study material from approved sources — summaries, flashcards, practice quizzes — and makes progress visible. Teaching, grading and academic decisions remain with faculty.