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IGNACE.V1 Answer Engine
A Perplexity-class research interface scoped to academia. Ask a question, get a cited answer drawn from a curated scholarly knowledge base, then follow the thread.
The MKUR NeuroLab Initiative
Academic intelligence for every student
MKUR NeuroLab builds systems at the boundary of cognition and computation. Our first product, MKURLearn, gives universities a research and revision platform where every answer is cited, and every exam question is worth sitting.
100%
Answers traced to academic sources
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Citation formats exported
3
Roles: student, lecturer, admin
v1.0
MKURLearn MVP, live demo
knowledge graph · live
Every answer traced through a network of scholarship
MKURLearn v1.0
One platform for asking, reading and being examined
Not a university ERP. A focused academic operating layer that does the two things students and researchers actually need: find defensible answers, and be ready for assessment.
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CAT & Exam Preparation
Generate university-standard CATs and exams for any topic, sit them in-app, and get instant marking with worked explanations and score history.
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Academic Knowledge Base
A vetted corpus of papers, abstracts and findings. No open-web noise — every answer traces back to a source you can cite.
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Digital Library
Search the corpus, chat with a paper, generate summaries and export references in APA, MLA, IEEE or BibTeX.
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Student Workspace
An AI study planner that turns your goals and course load into a spaced-repetition schedule, with a daily focus task.
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Institutional Layer
Role-based access for students, lecturers and administrators, with a member directory and departmental oversight.
The MKURLearn loop
Every demo follows the same four beats — and it works end to end today.
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Ask
A student poses a research or revision question in IGNACE.V1.
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Ground
The engine retrieves the most relevant academic sources from the knowledge base.
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Answer
A cited, exam-ready explanation is composed with numbered references.
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Practice
The same topic becomes a CAT or exam paper, marked instantly with feedback.
neuro-adaptive research
Signals from the learner, shaping the material
Coming soon
NeuroLab BCI
MKURLearn is the first layer of a longer programme. NeuroLab BCI extends the initiative into neuro-adaptive learning: attention-aware study sessions, cognitive load estimation, and assistive interfaces for learners with motor impairments. Research phase begins after the MKURLearn institutional rollout.
Attention sensing
Cognitive load
Assistive access
Ready for the demo?
Create an account as a student, lecturer or administrator and walk the full MKURLearn loop — workspace, library, IGNACE.V1 and exam prep.
Launch MKURLearn