Getting Started
For Universities

Getting Started — For Universities

Set up TutorQ for your institution in 4 steps.

Step 1: University Onboarding

Contact us to create your university tenant:

  • Email: venkat@q3learners.com
  • What we need: University name, department, primary contact
  • What we set up: Isolated tenant, admin account, professor accounts

Each university gets a fully isolated environment — your data is never mixed with other institutions.

Step 2: Professor Accounts

Professors get their own login to:

  • Upload course materials (PDFs, lecture notes, slides, recordings)
  • View student engagement analytics
  • Configure course settings

Professors log in at tutorq.ai/partnerships and manage their courses from the dashboard.

Step 3: Course Materials

Professors upload course materials through the dashboard. The automated pipeline handles everything:

Upload PDF/PPTX → MinerU Extraction → Chunking → Metadata Enrichment → Embeddings
  • Processing time: 5-45 minutes depending on document size
  • Supported formats: PDF, PPTX, lecture notes, class recordings
  • What happens: Text extracted, images described by AI, content split into searchable chunks, dual embeddings generated

Once processing completes, the material is immediately available for student queries.

Step 4: Student Access

Students can access TutorQ through:

Direct Access (TutorQ Platform)

Students sign up at your university's TutorQ portal and get:

  • Voice tutor for all enrolled courses
  • Text chat for course questions
  • Daily practice (for exam prep courses)

API Integration (Partner API)

If you have your own app, use the Partner API to embed TutorQ search into your existing platform.

Pricing

TutorQ Campus uses custom pricing per university based on:

  • Number of students
  • Number of courses
  • Voice tutoring usage

Contact venkat@q3learners.com for a quote.

Data & Security

  • Multi-tenant isolation: Each university's data is fully separated
  • Data ownership: Universities retain full control of their content
  • No training on your data: Your course materials are never used to train models
  • Hosted on Azure: PostgreSQL with pgvector, encrypted at rest