Institutional AI governance your faculty controls.
Curriculum-aligned, secure, measurable — built for university governance.
Study Master is an institutional AI learning platform for universities and students — a curriculum-aligned, secure, and measurable alternative to unsupervised AI use, not another chatbot.
*Internal Study Master student testing in Luanda and Lisbon.
Why institutions choose Study Master
Four commitments every deployment is built on.
Governed and secure
Designed so that data is logically separated by institution and protected by access controls, with account and administrative activity 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’s data is logically separated and protected by access controls. Documents are not used to train Study Master’s own models, and processing is limited to the services each feature requires — never for advertising.
Deployment integrated in 3 steps
Deployment is designed to run 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 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 and study-activity indicators in your admin dashboard.
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, within your institution’s own separated data scope.
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 of our models on your files
Institutional and student documents are not used to train or improve Study Master’s own models.
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, and is never sold, rented or shared for advertising.
No fabricated proof
Study Master is pre-launch and in pilot; results are reported as such until institutions publish their own.
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 —
FAQ
Questions from university leadership
Straight answers on oversight, data scope and rollout, before anything is signed.
What can leadership actually see about usage?
The institutional dashboard is designed to show adoption, study activity and progress by programme and course — aggregated indicators that support pedagogical decisions without exposing unnecessary personal data. Study Master is pre-launch, so this is the reporting the platform is being built to provide.
How long does a pilot take and what do we have to do?
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 we stop the AI answering from outside our course material?
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.
Does this replace professors or take over grading?
No. It prepares study material from approved sources — summaries, flashcards, practice quizzes — and makes progress visible. Teaching, grading and academic decisions remain with faculty.
What happens at the end of a pilot — are we locked in?
Expansion is a decision you take after the pilot, on the pilot's own results — programme by programme, at the institution's pace. Study Master is pre-launch and in pilot, and results are reported as such until institutions publish their own.