Sana Labs raises $18m Series A funding led by EQT Ventures

– SWEDEN, Stockholm –  Sana Labs, a startup that’s using machine learning to personalize training courses for professionals, announced that the company has raised $18 million in a Series A round of funding led by EQT Ventures.

“Automated learning assistant technology understands where misalignments exist between learning and the individual’s skills gap,” said CEO, Joel Hellermark. “With adaptive assessment, learning, and review, the learning assistant personalizes the path to the individual needs of the learner — surfacing just what they need, right when they need it.”

One of the challenges of this approach is compensating for the lack of human coaching and prompts you might get in a classroom setting. For example, a classroom teacher could see how someone is progressing and encourage them to finish an assignment. To replicate this kind of attention, Sana Labs uses “nudging,” as it calls its “scientifically based behavioral and pedagogical interventions.”

“Smart nudging is another component that leverages behavior data to provide tiny interventions to increase the rate of course completion,” added Joel Hellermark. “Using AI allows actionable insights to be personalized and delivered in real-time to identify patterns in learners’ data and provide insights.”

About Sana Labs

Founded out of Stockholm, Sweden in 2016, Sana Labs claims customers across finance, pharmaceutical, and health care, including Novartis, PepsiCo, and Mount Sinai. During the pandemic, Sana Labs said it was adopted by 2,000 hospitals that used the platform to upskill more than 80,000 health care workers to handle the treatment and prevention of COVID-19. It did so by first determining the existing knowledge of each nurse and then automatically generating a program to bridge the gaps.

Our interdisciplinary team consists of researchers and engineers with backgrounds ranging from Google AI and Spotify to BCG Gamma and Imperial College.

For more information: https://www.sanalabs.com/

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