Leverage artificial intelligence to analyze responses and determine whether learners have used the mentor-defined keywords required to pass.

Train at scale across competency levels by building programs that automatically adjust a learner's path based on their performance.

Allow learners to guide their own skill development by prompting them to reflect on and evaluate their own responses.

Assignments are completed as soon as a response is submitted, allowing learners to maintain focus and continue practicing without slowing down to wait for feedback.

Mentors can engage one-on-one with learners who need guidance the most by leaving text and video feedback and/or prompting learners to submit a follow-up response. This personalized approach to training increases results and satisfaction.