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GOING FROM SMART TO SENTIENT UNLOCKING THE NEXT PARADIGM OF DIGITAL DEVICE
CAPABILITY


HYPERSENTIENCE DELIVERS CONTEXT AWARENESS TO PHONES, VR/AR HEADSETS, SMART
WATCHES, SPEAKERS AND LAPTOPS, THEREBY TRANSFORMING THEM INTO SENTIENT DEVICES
THAT UNDERSTAND THE ACTIVITIES AND SETTINGS THEIR USERS ARE ENGAGED IN, AND ARE
ABLE TO ADAPT SEAMLESSLY IN RESPONSE.

Watch the video


WATCH THE VIDEO


THE STATUS QUO OF DATA AND SMART DEVICES:

mass of information
mass of options
mass of applications
mass of user choices

A complex & imperfect user experience


CONTEXT AWARENESS DELIVERS:





 


THE FUTURE OF SENTIENT SMART DEVICES:

A seamless and naturally adapted user experience.

WHAT'S THE PROBLEM?

Our relationship with technology today still requires us to adapt our behaviour
to the various devices we use rather than the devices adapting to us.

App interfaces remain the same regardless of context. Voice assistants require
us to ask long, contextualised questions, as if the assistant weren’t “next to
us” and aware of the situation.

WE IMAGINE A FUTURE WHERE DEVICES ARE COMPLETELY AWARE OF THE CONTEXT WE FIND
OURSELVES IN AND CAPABLE OF DOING THE RIGHT THING AT THE RIGHT TIME.

Our software-only solution enables any microphone-enabled device to become aware
of the context it is situated into using audio processing and AI.

Phones, watches, speakers, laptops and vehicles become aware of our actions, our
behaviours, and the context we find ourselves in, seamlessly adapting and
responding.


A WHOLE NEW PARADIGM OF CONSUMER EXPERIENCE IS BORN.

THE PATH TOWARDS CONTEXT AWARENESS

VOICE

Simple telephony

VISION

Front and rear cameras

POSITIONING

GPS Accelerometer Gyroscope Magnetometer Proximity Sensor Barometer Thermometer
Depth Sensor

SELF

Fingerprint scan Iris scan HR monitor Pedometer


SENTIENCE

The next step:
Understanding
(rather than merely sensing) of context and events

EVENTS DETECTION VS FULL CONTEXT AWARENESS

Events are very short actions that can happen at any time. There are thousands
of them and they can be related to the current context or not. The context
instead is what describes what is happening around users: Are they working? Are
they eating? etc.



If we were to extract context from events alone, this would result in verbose
and erratic behaviours.








TOO COOL TO BE TRUE?

Here are some examples where our software retrieves the context from real life
everyday situations only using the microphone embedded on a phone.
HyperSentience builds up from events analyzing context directly. By making
predictions on average once a minute rather than every second, HyperSentience
optimizes for precision and minimizes wrong predictions.



COMING SOON...

Our current demo is already capable of detecting the contexts of working,
eating, cooking and talking. But there are plenty of other contexts on their
way, from traveling to many domestic activities, crowded spaces, music concerts
etc. This is just the beginning. 

 



About Hypersentience

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