Our

Technology

Powered by a newly-developed AI architecture capable of learning and meaningful expressions (artificial emotions) through body language and sound, Maah beautifully utilizes concepts relating to human empathy.

Unlike robots that offer poor attempts at conversation, Maah plays with your senses and bonds with you through more natural, non-verbal communication.

Non-invasive

sensing

Unlike other assistive technology, MAAH presents an open and non-threatening approach. At Konpanion we have steered away from visual sensors such as cameras and resorted to sound as a way for MAAH to understand its environment and users. We also do not rely on sending speech recordings to the cloud to understand or interact. Thus, granting the privacy our users deserve.

Hey there, this is the default text for a new paragraph. Feel free to edit this paragraph by clicking on the yellow edit icon. After you are done just click on the yellow checkmark button on the top right. Have Fun!

Cognitive

Architecture

Our proprietary technology, developed over the last 10 years, allows non-linear behaviour to emerge, creating a sense of a real living entity. A breakthrough in lightweight cognitive AI systems, enables a more natural and evolving relationship, allowing each MAAH to develop uniquely alongside their owner.

Digital Twin

MAAH gathers information from its real-world environment and, if wished for by the user, translates it to its Digital Twin: a mirror image of your MAAH that exists purely in a virtual space. This doppelganger allows the primary and other selected users to access such information. From checking in on your loved ones to providing updates to medical practitioners and carers.

DIGITAL ENVIRONMENT

At the start, the digital twin exists in a homely surreal digital environment, accompanied by a dashboard in which real-world data obtained from MAAH's sensors is visualised in real-time for their users to interact with. In Konpanion+ this data can be shared with the user's medical practitioner for a more tailored health tracking and diagnosis approach.