Tutors that teach your curriculum, not the open internet.
Fine-tune on your syllabus, marking rubrics and past student work to build tutors, graders and study tools that stay inside the material you actually teach — with student records kept on infrastructure you control.
The Problem
General-purpose chatbots answer off-syllabus, happily do the assignment for the student, and require sending minor students' work to third-party APIs — which most institutions cannot lawfully do.
How Langtrain Helps
Trained on your syllabus and set texts, so explanations use the notation, method and vocabulary your students were taught.
Configure the model to scaffold rather than solve — hints and leading questions instead of finished answers on assessed work.
FERPA- and GDPR-aware deployments keep submissions, grades and identifiers inside your own infrastructure.
Fine-tune on marked exemplars so draft feedback matches how your department actually awards marks.
Serve the same course to students in their first language without maintaining separate content pipelines.
Aggregate where students get stuck across a cohort and feed it back into teaching, not just individual remediation.
Applications
Students ask questions at 2am and get an explanation in the exact method taught in lectures, with a pointer to the relevant week's notes.
Produce a first-pass rubric-aligned comment set that a human marker edits and signs off, cutting turnaround without removing the teacher.
Generate unlimited variations of problems at a target difficulty, complete with worked solutions for the instructor.
Rewrite dense course material at different reading levels, or into plain-language summaries, without altering the underlying content.