Educational institutions and EdTech companies are reimagining how students learn. We build AI-powered platforms that personalise learning, automate administration and turn academic data into actionable insights.
AI in education uses language models, machine learning and analytics to personalise learning, provide tutoring and student support, speed up assessment and content creation, and identify learners who need extra help, for schools, universities, training providers and EdTech companies.
Education solutions integrate with learning management systems such as Moodle, Canvas and Google Classroom through APIs, and use large language models grounded in your own course content. We protect student data with role-based access, data minimisation and age-appropriate safeguards, and keep teachers in control of grades and feedback. Speech features such as captions and transcription use speech AI. Solutions are built in Python and Node.js on Azure or AWS.
Education clients use our AI development, AI integration and data science services. EdTech companies often hire AI developers or web developers to extend their product teams.
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Last updated: October 2026 · Prominent AI Services LLP engineering team
Answers to common questions about AI in schools, universities and EdTech.
No. AI handles repetitive tasks such as answering routine questions, drafting materials and marking objective work, so teachers have more time for teaching, mentoring and judgement.
The tutor answers from your approved course content using retrieval, is tested on real student questions, refers to sources, and passes uncertain questions to staff.
Yes. We minimise the personal data used, restrict access by role, encrypt data, and use AI services that do not train on your data. Solutions can be hosted in specific regions to meet privacy rules.
Yes. We integrate with Moodle, Canvas, Google Classroom and custom platforms through their APIs or plug-ins.
Cost depends on the feature, number of users, content volume and integrations. A pilot for one course or feature is a fixed-price project.
A pilot assistant on one course can typically be ready in four to eight weeks, including testing with teachers.
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