An AI-native LMS had to be sold to institutions that share nothing — one tenant seeing another's cohort is the end of the contract — while still feeling instant across a course library nobody wants to browse page by page.
Isolation lives in the database, not in application code: Postgres 16 with row-level security per tenant, pgvector alongside it for meaning-based retrieval, Meilisearch for keyword speed, and arq workers ingesting material behind an async FastAPI surface.
Tenants share one database and cannot reach each other's rows even if the API is wrong. Course material becomes searchable both by phrase and by intent the moment it finishes uploading.
Want a system like this?
Tell us what you're building. We'll respond with a scoped plan, not a sales pitch.