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LearnLab uses the same understanding-based engine to generate courses, learning materials, and assessments from your curriculum or learning objectives. It creates unique, adaptive questions, grades open-ended responses for genuine comprehension, and gives learners real-time feedback — so educators spend less time marking and more time teaching.

Both. Universities use LearnLab to generate course content, assess learning outcomes, and support students at scale, while organizations use it for workforce training, upskilling, and certification — cutting training cost by 42% and turnover by 48%. Many teams run WorkLab and LearnLab together for a complete talent-to-training lifecycle.

Traditional exams rely on static question banks and fixed answers that reward memorization. LearnLab generates dynamic assessments and evaluates reasoning and understanding, not pattern matching. This is the same technology originally built to assess physics students on concepts like quantum mechanics — where true understanding matters most.

LearnLab generates unique questions for each learner and supports time-tracking, copy-paste detection, tab-switch monitoring, and behavioral analysis. Assessments are designed around genuine understanding, which is far harder to game than memorized answer keys. Educators always retain oversight of AI-assisted grades before they're finalized.

Today LearnLab runs standalone: students open a share link with no account and no install, and marks land in LearnLab's analytics with per-question breakdowns and per-student feedback you can export. Google and Microsoft SSO are supported. LTI 1.3 with grade passback and roster sync for Moodle, Blackboard and Canvas is in active development — talk to us if your institution needs a date.

Get started from the pricing page to generate courses and assessments, invite learners, and review AI-graded results. Universities and training teams can also book a personalized demo or pilot for their specific use case.