Role-playing training presents challenges in securing trainer availability and standardizing the quality of feedback.

For role-playing exercises using company-specific scripts, we quantitatively and objectively evaluate script proficiency through speech recognition and facial expression analysis.

This system reduces training costs while standardizing communication methods and enabling new employees to become productive quickly.

記述式課題の添削は「インプット→アウトプット→フィードバック」を完成させる要ですが、講師・人事担当者の工数を圧迫する業務のひとつです。

AIが提出課題を自動添削し、個別最適化されたフィードバックを即時に返します。企業独自の専門講座の内容もAIに学習させて対応可能です。

This reduces the time and effort required for proofreading, while simultaneously preventing the evaluation criteria from becoming dependent on individual employees and establishing a fair evaluation system.

講座数の増加に伴い、受講者が最適な学習経路を自ら選定することは困難になります。管理者が一人ひとりに講座を提案することも現実的ではありません。

AI analyzes your learning history and trends, automatically presenting the most suitable courses in a ranked format. No administrator design or configuration is required.

受講者の意思決定コストを削減し、学習の継続率向上に寄与します。

Training sessions tend to end once the session is over, and encouraging continuous review is a significant burden.

Based on Ebbinghaus's forgetting curve, the AI automatically sends review reminders in the golden cycle (the next day, one week later, and one month later) after completing the learning materials. The summarized and microlearning format allows you to learn even during short breaks.

We automate follow-up processes to ensure the retention of training outcomes and maximize the return on investment (ROI) of training.