About AutoScribe

AutoScribe is an AI-powered digital assistant dreamed up, designed & developed by Mutuo Health Solutions. Mutuo was founded by a team comprising of AI researchers and a family doctor dealing with the pain of “documentation burnout.”

Knowing there was a better way to deal with administrative tasks and get back to spending more time on patient-centered care, the team tapped into their passion for AI to create a solution.

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About Mutuo and WELLSTAR

In 2026, Mutuo was acquired by WELLSTAR, and we now operate as part of Canada’s leading healthcare technology ecosystem, benefiting from the comprehensive resources and expertise of a company that serves over 40% of practitioners nationwide.

As a member of the WELLSTAR universe, we offer our customers enhanced interoperability, expanded support capabilities, and access to cutting-edge innovations across the entire spectrum of healthcare technology. Our clients benefit from WELLSTAR’s mission to reshape healthcare through digital enablement, while continuing to receive the personalized service and specialized expertise that Mutuo has always provided.

Together with WELLSTAR, a majority-owned subsidiary of WELL Health, we’re committed to empowering providers to deliver exceptional patient outcomes through advanced, connected healthcare technology solutions.  Learn more about WELLSTAR here.

Meet our team

Mutuo Health is a medical technology company based in Toronto, Ontario, Canada.
Our team includes medical professionals & experienced machine-learning scientists, all dedicated to creating predictive clinical AI technology built on a robust framework of patient privacy & continuous improvement.

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Dr. Noah Crampton

Chief Executive Officer,  U of T Clinician.
Investigator, UHN primary care research lead | MDCM | McGill University
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Dr. Baillie Allen

Business Operations Lead
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Geoff Crampton

Business Development Lead
Directeur général au développement des affaires
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Dr. Daniela Gotera

Customer Success Manager
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Jeannie Chen

Associée au développement des affaires - Québec

Frank Rudzicz

Associate Professor, | U of T Associate Scientist, | St. Michael’s Hospital Faculty Member | Vector Institute for AI CIFAR Artificial Intelligence Chair

Serena Jeblee

Machine Learning Lead  MSc Carnegie Mellon  PhD Computer Science | U of T

Mohammed Buttu

Software Engineering Lead  
B. Applied Technology of Software Development, Seneca College  
10 Years CTO-level work

Zel Crampton

Business Advisor
B. Eng | McGill University MBA | Columbia University

Muhammad Mamdani

Healthcare Industry Strategist
PharmD | U Michigan MPH | Harvard University

Patient privacy that goes above and beyond

Informed by our own clinical experiences, we know that there is no healthcare data more sensitive than direct audio recordings and transcripts of doctor–patient conversations.

And to us, the strictest standards in patient confidentiality are more than a regulatory requirement—we put them at the heart of our approach to machine learning and artificial intelligence. By ensuring data protection above all else, we cultivate a deep trust with our clients and, in turn, their patients to only use their sensitive data ethically and effectively.

Check out our privacy policy to see what we mean. And if you have any additional questions, or even if you’d like a privacy assessment for your clinic, get in touch with us directly.

See for yourself—give AutoScribe a test drive with a one-month free trial, and experience our privacy philosophy in practice.

Try AutoScribe
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Effortless Transcriptions at Your  Fingertips

Would you like to see how it works?
Book a call with one of our support staff to learn more.

Book a Call
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