Krisp, a startup that uses machine learning to remove background noise from audio in real time, has raised $9M as an extension of its $5M A round announced last summer. The extra money followed big traction in 2020 for the Armenian company, which grew its customers and revenue by more than an order of magnitude.
TechCrunch first covered Krisp when it was just emerging from UC Berkeley’s Skydeck accelerator, and co-founder Davit Baghdasaryan was relatively freshly out of his previous role at Twilio. The company’s pitch when I chatted with them in the shared office back then was simple and remains the core of what they offer: isolation of the human voice from any background noise (including other voices) so that audio contains only the former.
It probably comes as no surprise, then, that the company appears to have benefited immensely from the shift to virtual meetings and other trends accelerated by the pandemic. To be specific, Baghdasaryan told me that 2020 brought the company a 20x increase in active users, a 23x increase in enterprise accounts and 13x improvement of annual recurring revenue.
The rise in virtual meetings — often in noisy places like, you know, homes — has led to significant uptake across multiple industries. Krisp now has more than 1,200 enterprise customers, Baghdasaryan said: banks, HR platforms, law firms, call centers — anyone who benefits from having a clear voice on the line (“I guess any company qualifies,” he added). Enterprise-oriented controls like provisioning and (Read more...)