Industries
AI for Education & EdTech
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.
Typical challenges
- 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.
Typical use cases
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.
Admissions and student-support chatbots
Multichannel assistants for enrolment, fees, timetables and campus services, integrated with your student information system.
Grading and feedback support
LLM tools that draft feedback on essays and short answers against a rubric for instructors to review and finalise.
Content generation and localisation
Generative AI that produces quizzes, summaries, adapted reading levels and translations from approved source content.
Learner analytics and early-warning models
Predictive models over engagement and performance data that flag at-risk students for timely intervention.
Questions from this sector
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.
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.
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.
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