Building a 1-to-1 tutoring experience at scale but hiring human tutors for every student isn't economically viable?
Your current LMS delivers content but has no way to identify which students are struggling with which specific concepts before the test?
AI Tutoring Platform Development
Custom AI tutoring platforms that give every learner a 1-to-1 experience -- curriculum-specific conversational tutors, adaptive learning paths, automated feedback, and the analytics teachers and parents actually need.
100+ products shipped since 2019. We build AI tutoring platforms for ed-startups, schools, and corporate training providers who need more than a generic chatbot layered on top of their content.
Conversational AI tutors scoped to your curriculum -- not a generic chatbot
Adaptive learning paths that adjust difficulty based on real student performance
Automated feedback on written responses, essays, and code submissions
LTI 1.3 integration with your existing LMS and learning infrastructure
RaftLabs builds custom AI tutoring platforms for ed-startups, schools, and corporate training providers. AI tutoring platform development covers conversational AI tutors powered by LLMs, adaptive learning paths that adjust to student performance, automated feedback on written and code submissions, knowledge gap identification, spaced repetition engines, and LMS integration via LTI 1.3. A custom AI tutoring platform differs from a general chatbot because it is curriculum-scoped, tracks learning objectives, and knows when to scaffold a struggling student versus when to challenge a confident one. Most AI tutor projects deliver in 10--14 weeks at a fixed cost with full source code ownership.
100+Products shipped since 2019
·LTI 1.3Compatible
·FixedCost delivery
·10-14Week delivery
A generic AI chatbot is not an AI tutor. Your learners deserve the difference.
A general-purpose AI chatbot will answer questions -- but it has no concept of your curriculum, no idea which learning objectives a student has and hasn't mastered, and no mechanism to decide whether a student needs more scaffolding or a harder challenge. It gives answers. A tutor builds understanding. That distinction is the entire product.
Custom AI tutoring platform development builds a system that knows your content, tracks each learner's progress against real learning objectives, asks Socratic questions rather than just giving answers, and surfaces the right information to teachers and parents at the right time. That is a different product to a chatbot with a subject label on it.
What we build
Conversational AI tutor
LLM-powered subject-specific Q&A scoped to your curriculum -- the tutor stays on topic and references your content, not the open internet. Socratic questioning mode guides students toward answers rather than handing them over, building genuine understanding rather than answer dependence. Configurable persona and tone by age group so a primary school science tutor sounds different from a professional certification prep tutor. Session memory keeps the conversation coherent across a single study session.
Adaptive learning paths
Performance-based difficulty adjustment that moves students forward when they demonstrate mastery and slows down when they don't, rather than advancing everyone on a fixed schedule. Prerequisite mapping ensures gaps are filled before a student is pushed into more advanced material. Branching content sequences adapt based on assessment results so two students in the same course can be on genuinely different paths. Spaced repetition scheduling is built into the path for memorisation-heavy subjects.
Automated feedback on submissions
Written response scoring with rubric alignment gives students specific, actionable feedback rather than a raw score. Code submission feedback surfaces test case results, highlights where logic breaks down, and offers targeted hints without giving the answer away. Essay feedback addresses argument structure and evidence use against your assessment criteria. Responses are compared against exemplar answers to calibrate quality signals, not just keyword matches.
Knowledge gap identification
Per-student and per-class analytics that show which learning objectives have low mastery across your cohort -- not just which students scored low on the last test. Teacher dashboards surface actionable gap reports so instructors know where to focus live teaching time. Early warning alerts flag students who are falling behind before summative assessments, giving teachers time to intervene. Progress data is exportable to your existing reporting layer.
Spaced repetition and flashcard engine
Vocabulary and concept decks with SM-2 or similar spacing algorithm, scheduling each card at the interval that maximises long-term retention without unnecessary repetition. Both student-generated and teacher-generated decks are supported. Performance-based card scheduling adjusts intervals per card per student based on recall accuracy. Progress is tracked by deck, subject, and learning objective so the spaced repetition data connects back to curriculum mastery.
LMS and curriculum integration
Connects to your existing LMS -- Moodle, Canvas, or custom-built -- via LTI 1.3 so the AI tutor appears inside your existing learning environment without requiring a separate login. Tutor interactions are mapped to your learning objectives so progress is visible in your current reporting. Progress data exports to your analytics or reporting layer. SCORM-compatible content rendering is included where your existing content requires it.
Frequently asked questions
A general-purpose AI chatbot has no curriculum scope, no concept of learning objectives, and no mechanism to track whether a student is actually learning. An AI tutoring platform is scoped to specific content -- it knows your syllabus, maps every interaction to learning objectives, and adjusts what it does based on whether a student is mastering the material or struggling. It also knows when to give an answer directly and when to ask a question that nudges the student toward working it out themselves. A chatbot gives answers. A tutor builds understanding. That distinction requires a different architecture, not just a different prompt.
Yes. The AI tutor is built around your specific curriculum, content, and learning objectives -- not generic subject knowledge. We use retrieval-augmented generation (RAG) to ground the tutor's responses in your actual course material, textbooks, and assessment criteria. The tutor will reference your content, stay within the scope of your curriculum, and decline to speculate beyond it. If your content is in a structured format (PDFs, LMS exports, structured text), we ingest it into the knowledge base during the build. Updates to your curriculum are handled through a content management process we set up with you.
Adaptive learning combines performance tracking with a content graph. Every piece of content in the platform is tagged to learning objectives, and those objectives have prerequisite relationships -- you can't have mastered Topic B if you haven't mastered Topic A first. As a student completes activities and assessments, the platform updates a per-student mastery model. The next content recommendation comes from that mastery model: fill the lowest-mastery prerequisite, then advance. Difficulty within a topic adjusts based on performance history. Spaced repetition handles the review schedule for mastered content so it isn't forgotten. The technical implementation uses a combination of a knowledge graph, a learner model store, and the content recommendation logic -- all of which we build as part of the platform.
A focused AI tutoring platform -- conversational AI tutor with curriculum scoping, adaptive learning paths, automated feedback on submissions, and a teacher analytics dashboard -- typically runs $30,000--$70,000. A full-featured platform adding spaced repetition engine, LTI 1.3 LMS integration, per-student knowledge gap reporting, early warning alerts, and parent access typically runs $70,000--$150,000. Cost depends on the number of subjects and content depth, the complexity of the adaptive model, integrations required, and whether a mobile app is in scope. We scope every project before pricing it.
Talk to us about your AI tutoring platform.
Tell us your curriculum scope, learner age group, current LMS, and what a human tutor does today that your digital experience can't. We'll scope the right platform and give you a fixed cost.
