Power Moodle with Generative AI.
Integrate GenAI, chatbots, and smart analytics into your Moodle LMS. Automate grading, provide 24/7 AI tutoring, and generate course content dynamically.
EdTech AI Pioneers
Merging leading LLMs with Moodle.
Smart Learning Pathways
Personalized course recommendations based on AI analysis of student performance.
Contextual Chatbots
Bots that actually understand the course material.
Data Privacy
Using enterprise APIs to ensure student data is not used for model training.
AI Tutors
Instant answers to course questions based on syllabus.
Auto Grading
AI-assisted grading for essay questions.
Course Builder
Generate quizzes and glossaries instantly.
Predictive Analytics
Identify at-risk students before they fail.
Five stages, paired end-to-end.
Predictable delivery. No black-box sprints.
AI Strategy
Identify impactful AI use cases.
Setup
Configure LLM access (OpenAI/Azure).
Build
Develop Moodle local plugins to interface with APIs.
Train
RAG setup with course materials.
Deploy
Rollout with faculty training.
Why AI in Moodle?
The future of personalized learning.
Personalization
Tailor learning to each student.
Save Time
Automate grading and content creation.
Support
24/7 answers for students.
Retention
Identify and help struggling learners.
Three ways to work with our Moodle AI Integration team.
Scale up, scale down — zero procurement headaches.
Fixed-scope project
Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.
Dedicated team
A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.
Staff augmentation
Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.
Asked first, every time.
We use Retrieval-Augmented Generation (RAG) to restrict the AI to only answer based on your specific course materials and syllabi, drastically reducing hallucinations. The bot clearly indicates when it cannot find relevant information.
Yes. We use enterprise API endpoints like Azure OpenAI which guarantee that your prompt data is not used to train public models. Private LLM instances can also be deployed on your own infrastructure for maximum data sovereignty.
Yes. We integrate NLP models that evaluate essay submissions based on rubric criteria — assessing relevance, structure, grammar, and conceptual understanding. AI-generated grades can be reviewed by instructors before finalisation.
Yes. We build Moodle blocks that use LLMs to generate multiple-choice questions, true/false quizzes, glossary entries, and lesson summaries from uploaded course materials — saving instructors hours of content creation time.
We integrate OpenAI GPT-4o, Azure OpenAI, Google Gemini, Anthropic Claude, and open-source models like Llama 3 via Ollama. The model choice depends on your budget, data privacy requirements, and performance needs.
Yes. We build predictive analytics plugins that analyse engagement patterns, quiz scores, login frequency, and assignment submission timing to flag at-risk students early — enabling proactive intervention by instructors and administrators.
We index your course resources (PDFs, slides, videos, SCORM packages) into a vector database like Pinecone or pgvector. The chatbot retrieves the most relevant chunks before generating answers, ensuring responses are grounded in your actual content.
An AI chatbot plugin with RAG typically takes 6 to 10 weeks. Automated grading modules take 4 to 8 weeks. We offer phased rollouts starting with a pilot course before full deployment. Costs depend on the AI model, hosting, and feature complexity.
Bring AI to your LMS.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.