A no-code platform where lecturers and academic staff build, configure, and manage AI agents without writing any code.
Students submit through the LMS as normal. Sense routes submissions to the marking agent, evaluates against the rubric, and holds results for staff review before release.
Give every student 24/7 AI tutoring scoped to your course content — not the open internet.
Each agent operates from its own knowledge base — lecture notes, rubrics, and course documents scoped precisely to its purpose.
A plugin that runs directly inside your LMS, detecting student events and routing them to the right agent workflow automatically.
Pre-built agent types for education — exam markers, revision tutors, mock exam engines, FAQ bots, and fully custom agents.
AI outputs with academic consequences go through a staff review queue before reaching students, with a full timestamped audit trail.
Track token costs and usage across every agent and module, with full isolation between institutions.
FAQ
Find answers to common questions about setup, usage, security, and support.
Any OpenAI model accessible via your API key — including GPT-4o, GPT-4o mini, and future models as they become available. You choose the model per agent, allowing cost and performance trade-offs per use case.
No. All production AI execution happens inside your Wave plugin. Student submissions, course files, and answer papers never leave your institution's server. Kampus Sense only stores metadata — agent configurations, run statuses, and token usage logs.
No. Agents are configured through a guided, no-code wizard. Your IT team handles the one-time Wave plugin installation. After that, lecturers configure and manage agents entirely through the browser interface.
Kampus Sense charges a platform fee based on your subscription plan. OpenAI API costs are entirely separate — you pay OpenAI directly, with full visibility via the built-in cost and token usage dashboard.
Yes. Create as many agents of different types as you need for the same course — for example, a Pre-Seen Tutor and an Exam Grader running independently for the same cohort.
Both modes are supported. You can require lecturer approval before results are visible to students, or enable fully automated release — configurable per agent. Low-confidence submissions are always flagged for optional manual review.
Add AI agents to your institution without replacing your LMS or exposing student data.
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