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Karas uses AI to recommend courses from employee roles, skills, and learning history, draft summaries and quizzes from existing materials, and identify learning demand. Explore how these features support course selection, content preparation, and training planning.
From one person’s next course to a company’s next capability, Karas turns learning signals into practical action.
AI Course Matching
Match employees with suitable courses based on their roles, skills, past learning, and development needs — without making people search from scratch.
AI Content Creation
Draft course summaries and quizzes from existing learning materials. Training experts should check the source, wording, and answers before using the content with employees.
✦ Turn ideas into learning
AI Learning Insights
Identify skill gaps, learning demand, and development priorities across your organization — with signals that make planning conversations more confident.
Understand what each feature uses and where your team should review its results.
The described recommendation features use employee roles, skills, past learning, and development needs. Recommendations are useful starting points for course selection; managers and learning teams should review their relevance to current responsibilities and goals.
Karas can draft course summaries and quizzes from existing learning materials. Review generated text against the source, check question answers, and confirm that the content reflects current policy before use. Explore online course delivery and assessments.
Agree the materials and employee information involved, who may access them, and how outputs will be reviewed. Ask the Karas team to confirm the proposed AI services, data handling, and feature scope for your implementation. These details should form part of your IT and learning-content review.
Less time managing learning.
More time making it matter.