AI Tutor
Explains the lesson you are in, in the way you need it explained. Will not hand over a quiz answer — it asks you a question back instead.
Polaris AI
Most AI in learning software is a chat bubble that knows nothing about what you are looking at. Polaris AI has the course, the module, the lesson, the transcript and your history — which is what makes it worth asking.
It already knows which lesson you are in, what you have completed, and what you got wrong last week. Ask it something.
AI Tutor
Explains, never just answers. Refuses to hand over quiz answers.
Course generator
A structured draft from an outline, for an instructor to edit.
Assessment writer
Items that discriminate, with distractors that are actually plausible.
Skill gap analysis
Maps a person against a role and ranks what closes the gap.
Report assistant
Ask a question of your analytics in plain language.
Accessibility assistant
Alt text, captions and transcripts, reviewed by a human.
Provider-agnostic by design. Every call is logged, attributable and scoped to the tenant that made it.
Not twelve buttons that open the same chat window. Each of these has its own context, its own constraints and its own place in somebody’s workflow.
Explains the lesson you are in, in the way you need it explained. Will not hand over a quiz answer — it asks you a question back instead.
Builds a sequence from your skill gap, your role and the time you actually have, and states the reason for every course it picked.
Maps a person or a team against a live role profile and ranks what would close the difference fastest.
A structured draft from an outline — modules, lessons, durations — for a human to edit. Nothing publishes without review.
Items that discriminate, with distractors plausible enough to be useful, plus the rationale for each option.
A module condensed to the argument it makes, with the parts you have already completed left out.
A first pass on a submission against the rubric, flagged as draft, for the instructor to accept, edit or discard.
Ask a question of your analytics in plain language. Every answer shows the query it ran, so you can check it.
Alt text, captions and transcripts generated as a draft, then reviewed by a person before it ships.
Course content into thirty languages, with terminology locked to your own glossary.
Practice questions, spaced repetition and a explanation of why a wrong answer was wrong.
Drop-off analysis on your own course, pointing at the lesson where people stop rather than the rate.
These are the questions every security review asks, answered before you have to ask them.
Course material, learner work and analytics are never used to train a model, ours or anyone else's. This is contractual, not a setting you have to find.
Who asked, what context was attached, which model answered, and what it cost. Exportable, and scoped to the tenant that made the request.
The provider sits behind an abstraction. Switching models, or running one in your own cloud, changes configuration rather than architecture.
The tutor is explicitly instructed not to complete graded work. Ask it for a quiz answer and it will walk you toward the reasoning instead.