Learning Paths That Adapt in Real-Time
PULSE infers learner type, pace, and goals from behavior, not just quiz scores. Recommend the right course, adapt difficulty dynamically, and keep learners engaged through personalized paths.
Problems We Solve
One-size-fits-all course recommendations that ignore skill level
High dropout rates from mismatched difficulty
Static learning paths that don't adapt to learner pace
Cold start for new learners with no completion history
See It In Action
Course Recommendation
The Career Switcher
A career counselor meets someone who's been in marketing for 5 years but wants to move into data science. They don't suggest 'Marketing 101', they say: 'Start with Python for Data Analysis, then SQL.'
Signals Detected
Career-Switching Learner
Result
Recommends 'Python for Data Science' not 'Python 101', matches career intent.
How PULSE Works for EdTech & Learning
Observe
Capture non-invasive behavioral signals from your platform, device, referrer, time, geo, and engagement patterns.
Infer
Build a real-time persona using Bayesian inference. Understand intent, preferences, and context in milliseconds.
Deliver
Match the inferred persona to your content via vector space. Serve personalized responses via API in <50ms.
Integration
Learning Path API and Course Recommendation SDK. LTI integration for LMS platforms.
Ready to Personalize Your EdTech & Learning Experience?
Get a free audit tailored to your industry. We'll show you exactly what PULSE can do with your data.