AI analyzes each learner's behavior history, role, and interests to recommend personalized content. It finds the right learning content among 6,000 e-learning courses and 200,000 short-form clips.
Behavior-based
Analyzes content viewed, courses completed, and time spent to recommend the next learning step.
Trending Searches
Surfaces trending content based on the most-searched keywords within your organization.
Related Content
Auto-connects advanced and supplementary content that follows the topic currently being studied.
Similar Learners
Recommends content viewed by peers with similar learning patterns — same role, similar experience.
When learners select their interests, AI analyzes competencies and learning history
to curate personalized content from 200,000 items.
Start with a default home. As learning begins, AI analyzes interests and competencies. Once interest tags accumulate, competency-based recommendations activate. The final stage delivers precision personalization based on learning history. A refresh function lets learners discover new content even within the same interest areas.
Default → Interests → Competency → PrecisionSales gets product knowledge and selling skills, engineering gets tech trends, management gets leadership content. Content from 20+ categories (IT trends, languages, org management, certifications, DT/DX, compliance, etc.) is auto-filtered by role.
20+ categories auto-matchedLearners start with a 1-minute short-form clip. When something sparks their interest, they seamlessly transition to the full e-learning course. 200,000 short-form clips and 6,000 courses are topic-linked, creating an unbroken path from discovery to deep learning.
Short-form → e-learning, linked automaticallyTouchContents provides e-learning across 20+ categories: IT trends, languages, org management, certifications, finance, DT/DX, compliance, leadership, humanities, and more. Customer-created content is also included in the curation pool.
TouchContents 6,000+ coursesAI auto-segments existing e-learning content into short-form clips. 5 formats: landscape video, portrait video, card news, quiz, and opinion. Clips under one minute for commutes and lunch breaks.
AI auto-segmentation → 5 short-form typesThe goal of curation is not completion rates — it's building access habits. When role-relevant content keeps appearing, learners return voluntarily. Data from 100+ companies shows that companies supplying content weekly with personalization maintain 30-50% off-season MAU. When supply stops, MAU crashes within 2 months.
Off-season MAU held at 30-50%Enter a job title and AI builds a matching learning path automatically. It selects and sequences appropriate content from 6,000 e-learning courses and 200,000 short-form clips. It eliminates the need for admins to assign courses to learners one by one.
Auto learning path by job titleSurfaces content based on trending search keywords within the organization. With 700+ new courses added annually, recommendation lists auto-update to match trend changes. Admins no longer have to manually select content each month.
700+ new courses added yearly; lists auto-updateUse data to see which recommendations drove actual learning. View recommendation click rates, completion rates, and off-season MAU changes on the dashboard. Data from 100+ companies shows that companies supplying content weekly maintained 70-95% MAU.
MAU 70-95% with consistent supply| Category | Bulk Distribution | AI Curation |
|---|---|---|
| Content Display | Same list for all employees | Role & history-based personal recommendations |
| Motivation | Only log in during mandatory training | Discover interesting content → voluntary access |
| Off-season MAU | 5-10% | 30-50% |
| Content Consumption | Only complete assigned courses | Short-form → full course connection expands consumption |
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