is the leading AI-discussion platform for engaging and assessing students in hybrid / virtual classrooms, in a more streamlined and efficient manner. You can manage the entire discussion on, from posing the question, to holding the discussion and finally assessing the quality of students’ participation. With you are able to see where the class stands as a whole, and each student individually so you can focus less on education logistics, and more on deeper learning. has two main elements:

  1. The home page consists of a list of questions asked by any of the participants.
  2. By clicking on each of the questions the user will be transferred to the “Discussion Page”, where they can view either the whole thread of the discussion or a concise analytics screen that focuses and highlight areas of cohesion and the leading answers.
  • Ask your class a question to get started with a new discussion.
  • Give all your students a voice. Let them share their knowledge, data, and experience by answering, debating and placing votes.
  • Review each discussion results as analyzed by the proprietary Al and scoring mechanism.
  • Use’s assessment components to help grade your students’s scoring engine is powered by a smart algorithm that helps organise the discussion. The score is based both on smart peer review and data analytics. It is not a simple average of votes, but based on the discussion structure and similar past discussions.

Each discussion is stored in a graph database, then Bayesian and Machine Learning algorithms decide the score. also follows the activity of each of the participants to decide their domain expertise and include this information in the scoring mechanism. Analysis on typical behavior of different departments is also incorporated into the algorithm. is the first smart discussion tool that implements Bayesian and Machine Learning tools to higher education classroom discussions. The structured discussions allows the algorithms to assign a level of confidence to each of the contributions, thereby pointing to the best answers, comments and replies.

Furthermore, analyses each participant’s behavior to decide on different bias levels and compensate for human psychological biases such as “group think.” All discussions are kept in a knowledge base, hence allowing for a modern “knowledge analytics” and much better use of past knowledge in future decisions.

At any point, you can press the “Invite” button, and invite new participants by inserting their email address. Email notification is then sent to the new user for a quick sign up process. You can invite both internal and external users, inside and outside of your classroom.

Yes – you can respond directly to email notifications which will automatically add your answer/comment into the conversation on

Yes, supports adding both Latex and code snippets into questions, answers, and comments. More information is available here.

Yes they do! The platform is fully accessible. Please find our VPAT report here.

The use of the platform is very intuitive for both instructors and students. 

The biggest challenge is to make sure that the questions posed in the platform are asked in the right way, so it stimulates engagement. The right question type will depend on the type of discussion the instructor wants to create, the size of the class and how often questions are going to be asked throughout the course. 

Our Customer Success Team provides onboarding and unlimited training/support to answer these challenges.  Additionally, we suggest best practices, on top of the FAQ and video resources available for both students and instructors 24/7.

Yes, supports deep linking. 

This means that users can cross-reference an existing response to their own answer or comment by pasting its URL. When the reader clicks the link, a new tab will open. This way, when they are done reviewing it, they don’t lose context. 

Yes, when posting a question, the question owner can choose whether to post it anonymously, and whether to allow anonymous contributions.

We have instructors using with student groups as small as a few students right up to groups of multiples of thousands.

Classes with 2000-3000+ students can certainly participate in a single discussion in (e.g. “What is wrong with this code snippet?”).  However, for larger classes, we typically recommend splitting the class into smaller teams.  It allows for deeper and more meaningful discussions.  It is less of an AI-driven component of the platform and more of a Best Practices matter.

Regardless of team size,’s automatic assessment AI takes into account all of the contributions posted by every student irrespective of class size.