Curriculum Intelligence Suite.
Five tools that run from the same course model. Upload materials once; the tutor, grader, content generator, and analytics all reflect what you actually teach.
Course-aware
Trained on your syllabus, readings, assignments, and rubrics.
Grounded answers
If it is not in the course materials, the system says so.
Built for higher ed
Designed around learning objectives, rubrics, and faculty governance.
Upload once. Power every workflow.
The course model is the product center: it keeps student support, faculty workflows, and analytics aligned as materials change.
1 · Faculty upload
Syllabus
Policies, outcomes, schedule
Lectures
Slides, notes, transcripts
Readings
Articles, chapters, cases
Rubrics
Criteria, weights, feedback
2 · One Course Model
Syllabus, lectures, readings, rubrics, policies, and outcomes stay synchronized.
42
Objectives mapped
12
Policies indexed
8
Rubrics active
3 · Every tool stays in sync
AI Teaching Assistant
LiveCourse-trained student support
Content Generation
BetaCurriculum-aligned material creation
Student Performance Insights
BetaLearning-objective-level analytics
Multimedia Generation
PlannedStructured visual teaching materials
AI Grader
PlannedRubric-enforced, instructor-controlled grading
What each tool looks like in practice.
A clearer status and preview for each capability helps buyers separate what is live, what is in beta, and what is planned.
AI Teaching Assistant
Course-trained student support
A tutor that knows your course cold. Students get answers sourced from uploaded materials, with citations and hard stops where policy requires them.
Example Interface
Student chat with citations, hints, practice prompts, and assessment-safe refusals.
Content Generation
Curriculum-aligned material creation
Draft syllabi, quizzes, exams, assignments, and rubrics from existing materials. Faculty review everything before it reaches students.
Example Interface
Draft quiz, study guide, and rubric blocks generated from the same week of materials.
Student Performance Insights
Learning-objective-level analytics
See which objectives are not landing, identify students trending toward failure, and adjust before the exam confirms the problem.
Example Interface
Misconception trends show which concepts need another pass before the exam.
Multimedia Generation
Structured visual teaching materials
Turn lecture notes into slide decks, visual explainers, and short concept videos that reinforce the course rather than replace it.
Example Interface
Lecture notes become slide outlines and visual explainers for faculty review.
AI Grader
Rubric-enforced, instructor-controlled grading
Grade submissions against the same rubric every time. Faculty can review, edit, or override any grade before release.
Example Interface
Rubric rows stay visible so instructors can review every score before release.
Built for institutions.
Designed for procurement, IT, and legal from the start, not retrofitted from a consumer chatbot.
Compliance & Security
- FERPA-aligned data handling
- Student data never trains public models
- Course data remains institution-bound
- Encrypted storage and transmission
- Instructors retain ownership of content
Integrations
- Direct file upload, available now
- Canvas developer access path and LMS workflow integrations in progress
- SSO and deeper LMS rollout support planned for institutional pilots
For setup details, visit How It Works. For rollout cost, see Pricing.
See it running on your course materials.
We will build a live demo from your syllabus. No generic demo, just your course and your content.