Outcome · Drop-Off Reduction
Reduce learner drop-off with AI-powered engagement systems.
For universities, bootcamps, online academies, and cohort learning businesses: detect disengagement early, intervene automatically, and bring learners back to consistency.
Book AI Retention Audit
Improve Student Completion
Earlydisengagement detection from behavioral signals
Autorecovery workflows triggered at the moment of risk
Visiblelearning consistency — for learners and staff alike
The Engagement System
Drop-off is a pattern. Patterns can be interrupted.
Most drop-off is quiet. Learners don't announce they're leaving — they just stop. ZionStar catches the silence early and turns it into re-engagement.
Josh T. — going quiet
AI intervention layer
Nia P. — re-engagedSam K. — back in courseZero quiet exits — every learner lands here, not out the door.
Disengagement detectionPace, silence, and activity signals identify at-risk learners early.
Automated recovery workflowsPersonalized outreach sequences that start without staff intervention.
Intervention systemsSublime Intelligence conversations that turn risk signals into concrete plans.
Learning consistencyMomentum dashboards that make streaks and pacing visible.
Engagement intelligenceCohort-level analytics showing where and why momentum breaks.
Works on your stackCanvas, Moodle, Open edX, or custom — deployed as a layer.
The First 14 Days
Most drop-off starts as silence
A missed week is the strongest predictor of permanent drop-off
Broadcast reminders don't work; personalized recovery plans do
Sublime Intelligence reaches out with context — what to do, and how long it takes
Staff dashboards show every intervention and its outcome
Drop-Off RescueSilence detected
LMLeo MartinsGoing quiet
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6 quiet days after an active start — silence window opening
Day 6 of silence — the window where drop-off becomes permanent
Client Stories
Success stories across the institutions we build with
Real outcomes from universities, academies, and cohort-based programs — engineered on the platforms they already run.
Browse All Case Studies
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Excellent work by Samuel. He's absolutely a SME for Canvas and Ruby. Thanks for all the hard work and dedication
John WelbornDelivery Director, MobileProductive Ed
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Top quality and outstanding work.
Sharaf GuossousCEO and Founder
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Mr.Samuel, has been extremely helpful in integrating Roll Call Attendance to our existing Canvas. He has been able to deliver the project with in the given time lines as was able to assist in sharing recommendations for further improvements that can be incorporated into the existing system
Bala Chandra SekharAcademic Head — Academic Planning & Delivery, UK
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Thank you, Samuel. We are very pleased with the product your team has developed for us. Please pass on our gratitude to them for working so hard and making a great product.
Brad ShookV.P of Information Technology and Analytics/CIO
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Hi Samuel, I got some good feedback regarding your ongoing support for Evateach. I appreciate the work you and your team are doing.
Toby OgbonnaEvaTeach
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I have been working with Samuel and the ZionStar team for many years, and they have become an integral technology partner to our business. In addition to delivering a wide range of development and technology projects, the team manages our entire hardware infrastructure and software stack. They are consistently professional, responsive and reliable, with a strong focus on understanding our needs and delivering practical, high-quality solutions. Their technical expertise, dependability and ability to support us across all areas of our technology environment have been particularly valuable.
SSShaun SwartzSK Education SolutionsEdSol
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Find your drop-off points in one session
We analyze your learner journey for the moments where momentum breaks — and map the interventions that fix them.
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