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Comparisons

Where we lose, written down.

A comparison in which one product wins every row is an advertisement, and a reader can tell. Each page below names at least one thing the other product does better, and none of them quote a competitor’s price — we cannot verify it and a stale number is the one claim you can check.

What you would be comparing
Browsing worked examples for a next lesson.
The lesson itself, not a feature table.

The institutional AI-tutoring landscape

Every category has a strong product. None of them is the same product as Zelvi.

Five categories a dean is likely to have on the shortlist, and the specific thing Zelvi does differently in each. Written to be fair to the other product; a comparison in which we win every row is an advertisement.

CategoryWhat they doWhat Zelvi does differently
Generic AI assistantsChatGPT, Gemini for Education, ClaudeGeneral chatbot, no course scope, no grounding you can measure.Refuses to answer what is not in the material, and the dean can measure the refusal rate on the cohort dashboard.
AI tutors on someone else’s contentKhanmigo (Khan Academy)Grounded in Khan’s own content library only.Grounded in the institution’s own material — no vendor lock-in on curriculum, and the same tutor runs on the syllabus the faculty already published.
Adaptive practice enginesSquirrel AI, Riiid, ALEKSAdaptive practice from a proprietary model whose scoring is opaque.Rubric-based scoring reviewed by course staff; every criterion carries a reference back to the document that authorised it.
Platform-native AI coachesCoursera Coach, Duolingo MaxLLM wrapper on top of the platform’s own content.Installs on top of the institution’s content and the cohort dashboard measures the outcome the institution already reports on.
Cohort-analytics tutorsCentury Tech, CogniiCohort dashboards focused on engagement time.The dashboard reports recovery rate on stuck moments, not minutes-on-task, and the escalation queue routes an unresolved learner to a real human on faculty.

Why the four together

The moat is the combination: grounded refusal · rendered diagram · measurable recovery rate · escalation to a human.

Any one of those alone is not defensible — a competitor can add a citation, license a diagram library, ship a dashboard, or wire a support queue on any given quarter. The four wired to the same attempt chain, inside the institution’s own material, is the shape that takes a real pilot to build.