Most AI tutors start every conversation from zero. SimMedAi gives each of its 58+ roles a dedicated study agent with persistent memory — it remembers what the learner struggled with last week, how they learn, what their exam history says, and which regulator governs them, and it opens the next session from there.
Updated August 2026
The agent is tool-using, not a chat window. It can pull the learner's exam analytics, open a targeted practice set, give a Socratic hint mid-simulation without handing over the answer, plan goals from the learner's own trajectory, mint a study note, and search for real internships. Every tool call is scoped to that learner's tenant and role.
A Global Intelligence System aggregates learning signals across activities into mastery tracking, predicted pass probability, and cohort insights for instructors. It includes a leading indicator most platforms cannot see: silent struggle — a learner who is quietly making study notes on the same concept repeatedly without their scores moving.
Three ways: it persists across sessions rather than starting fresh, it is grounded in the learner's real performance record instead of self-reported context, and it is bound to their jurisdiction's role, regulator and legislation so its answers match the exam they will sit.
No. Each of the 58+ allied health roles has its own study agent with its own scope, vocabulary and exam alignment, and each learner has their own memory within it.
Instructors see the resulting analytics — mastery, calibration, cohort insights and at-risk signals. Individual tutoring transcripts stay with the learner by design; the instructor view is built for teaching decisions, not surveillance.