Slide Better interactions. Better outcomes. Riff helps teams communicate and collaborate more effectively by providing AI-enabled feedback that improves their interactions. Learn More Better meetings.

At Riff Analytics, we build tools that use AI to measure and augment human interactions, helping people and organizations communicate, collaborate, and innovate better.

Our Solution

Riff uses voice data collected during video calls to show how people interact. For example, Riff measures how engaged people are or whether anyone is dominating the conversation. Riff metrics often confirm what people observe about themselves or others. More frequently, however, Riff provides completely new information about the low level dynamics at play and allows team members to develop better situational awareness.

Riff is being used in online learning, professional development, leadership training, and coaching.

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  • Through our work with Riff, participants receive personalized insights about their collaborative behaviors and patterns so we can coach them to become the most effective leaders they can be.

    Amy H., Director of Leadership Development, leading professional services firm

  • I had my first ever Riff-enabled video conference today. That’s the first time I’ve ever had that type of feedback on a conversation… to see the meeting replayed in visual form is powerful. I think this could be transformative in an enterprise as well as in education.

    Nigel Simpson, Director, Tech Strategy

  • Riff Analytics is a very unique company… they have the ability to disrupt the education and upskilling industry with their technology and insights. Our users value the ability to understand in real-time their effect on group work and the metrics of their interactions.

    Nella Brodett, Director, Global Outreach, Alberta Machine Intelligence Institute

Here’s the latest from the Riff Team

Proud to be recognized by these supporting organizations

SBIR Phase - awardee

2020 Finalist, IT & Tech

2020 BOOST Plus Accelerator

2019-2020, Toronto, Prime track

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