[{"data":1,"prerenderedAt":49},["ShallowReactive",2],{"ind-detail-education":3,"ind-work-education":47,"ill-industries\u002Feducation":48},{"slug":4,"title":5,"icon":6,"summary":7,"challenges":8,"useCases":13,"relatedServices":29,"faq":34,"seo":44},"education","Education & EdTech","book","AIYatch builds AI for schools, universities, training providers and EdTech products: tutoring and study assistants grounded in your curriculum, admissions and student-support chatbots, automated grading support, content generation and localisation, and analytics that spot at-risk learners early. Every system respects student privacy and keeps educators in control of assessment.",[9,10,11,12],"Learners want instant, personalised help that instructors cannot provide at scale.","Admissions, enrolment and support teams answer the same questions repeatedly.","Grading and feedback consume educator time that should go to teaching.","Content must be adapted for levels, languages and formats faster than teams can produce it.",[14,17,20,23,26],{"title":15,"text":16},"Curriculum-grounded tutoring assistants","RAG-based study assistants that answer from your course material, explain step by step and cite the lesson, with safeguards against doing the work for the student.",{"title":18,"text":19},"Admissions and student-support chatbots","Multichannel assistants for enrolment, fees, timetables and campus services, integrated with your student information system.",{"title":21,"text":22},"Grading and feedback support","LLM tools that draft feedback on essays and short answers against a rubric for instructors to review and finalise.",{"title":24,"text":25},"Content generation and localisation","Generative AI that produces quizzes, summaries, adapted reading levels and translations from approved source content.",{"title":27,"text":28},"Learner analytics and early-warning models","Predictive models over engagement and performance data that flag at-risk students for timely intervention.",[30,31,32,33],"rag-systems","ai-chatbots","generative-ai-llm","data-analytics-predictive-ai",[35,38,41],{"q":36,"a":37},"How do you stop a tutoring assistant from just giving away answers?","We design the assistant’s behaviour with your educators: it explains concepts, asks guiding questions and reveals solutions only in the modes you allow. Guardrails, prompt design and evaluation sets are used to test these behaviours, and instructors can review conversation logs.",{"q":39,"a":40},"Is student data safe with these systems?","Yes. We minimise personal data, apply role-based access, use no-training API tiers or self-hosted models, and sign data-processing agreements. Deployment can be inside your own cloud tenancy to meet institutional or regional requirements, and conversation logs are retained only as long as your policy allows. We document the data flow so your data-protection officer can review it.",{"q":42,"a":43},"Can AI grade assignments automatically?","AI can draft scores and feedback against a rubric and handle objective questions reliably, but we recommend instructors approve grades for open-ended work. This keeps assessment fair and defensible while saving significant marking time. Rubrics, tone of feedback and escalation of borderline cases are configured with your teaching staff and tested on past submissions before use.",{"title":45,"description":46},"AI for Education & EdTech: Tutoring & Analytics | AIYatch","AI for schools, universities and EdTech: curriculum-grounded tutoring assistants, admissions chatbots, grading support, content localisation and early-warning analytics.",[],"\u003Csvg xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" viewBox=\"0 0 640 480\" role=\"img\" aria-hidden=\"true\">\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\">\u003Cpath d=\"M320 235C280.4 205 201.2 200 140 220V390C201.2 370 280.4 375 320 405Z\"\u002F>\u003Cpath d=\"M320 235C359.6 205 438.8 200 500 220V390C438.8 370 359.6 375 320 405Z\"\u002F>\u003Cline x1=\"320\" y1=\"235\" x2=\"320\" y2=\"405\" stroke-width=\"3.5\"\u002F>\u003Cline x1=\"170\" y1=\"256\" x2=\"270\" y2=\"256\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"170\" y1=\"276\" x2=\"250\" y2=\"276\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"170\" y1=\"296\" x2=\"270\" y2=\"296\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"170\" y1=\"316\" x2=\"230\" y2=\"316\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"370\" y1=\"256\" x2=\"470\" y2=\"256\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"370\" y1=\"276\" x2=\"450\" y2=\"276\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"370\" y1=\"296\" x2=\"470\" y2=\"296\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"370\" y1=\"316\" x2=\"430\" y2=\"316\" stroke-opacity=\"0.45\"\u002F>\u003Cpath d=\"M230 140L320 105L410 140L320 175Z\"\u002F>\u003Cpath d=\"M275 156V182Q320 204 365 182V156\"\u002F>\u003Cline x1=\"410\" y1=\"140\" x2=\"410\" y2=\"180\"\u002F>\u003Ccircle cx=\"410\" cy=\"184\" r=\"7\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cg stroke-width=\"3.5\">\u003Cpath d=\"M472 80H558A12 12 0 0 1 570 92V124A12 12 0 0 1 558 136H494L476 152L479 136H472A12 12 0 0 1 460 124V92A12 12 0 0 1 472 80Z\"\u002F>\u003Cline x1=\"478\" y1=\"98\" x2=\"548\" y2=\"98\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"478\" y1=\"112\" x2=\"524\" y2=\"112\" stroke-opacity=\"0.45\"\u002F>\u003C\u002Fg>\u003Ccircle cx=\"548\" cy=\"112\" r=\"6\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003C\u002Fg>\u003C\u002Fsvg>",1792973682311]