Instant and private translation, anytime, anywhere!
Enabling instant communication, safeguarding sensitive data, ensuring equal care for all
Media
Mabel AI is the Swedish National Venture Cup Winner in Impact Maker Category
Mabel AI Wins West Swedish Venture Cup Award in the Impact Maker Category: A Milestone in Transforming Healthcare Communication
Mabel AI wins Nordic Healthtech Award at Vitalis 2023
Mabel AI Joins the Prestiguous Swedish Royal Academy of Engineering Sciences’ 100-List
Mabel is an accessible high-quality mobile app tool for real-time translation, that enables secure conversations across language barriers using in-device AI.
Safeguarding confidentiality
Mabel is geared towards the health care sector and validated for medical use, enabling clear communication between caregiver and patient while safeguarding confidentiality.
Accessible anytime, anywhere
Since all AI operations and data stay in the device, Mabel is available offline in areas with no mobile coverage or internet access.
You just need to talk
Speech recognition makes Mabel a potential life-saver in emergency situations since it does not require the patient to do anything but talk.
How Mabel Works
The app is intended to be available on the health care provider’s mobile devices. All AI functionality stays in the phone and no internet connection is needed. Nothing leaves the phone, or the room.
The health care provider starts the session in the app by just talking. The app captures the voice and converts it into text using machine learning.
The text is sent to machine translation which generates the translation to your target language instantly. The text can now be played as speech in the target language.
The app take the inverse path when it’s the patient’s turn and seamlessly supports the conversation cross language barriers.
The whole patient/HCP session is available as a transcript and can be sent directly to the Electronic Patient Journal system over a secure connection. No trace of the conversation will be left on the phone, securing full confidentiality.
We train and validate our speech models by taking medical terminologies and sentences and introducing a lot of background noises, such as crowds, hospital corridors, people speaking a different language, and even artillery fire!
Our Story
When our co-founder Karolina started working as a doctor in the emergency room 15 years ago, she quickly realized the problem of language barriers in health care and the need for instant and secure interpretation.
She saw how the shortage and lack of training of interpreters led to miscommunication and how delays in waiting for interpreters risked patients’ lives.
Together with her husband, Shahid, with a long career in software development, they started to think about how to use modern technology without compromising confidentiality.
Partners
Let’s get in touch!
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