Early detecting neurodegenerative diseases like Alzheimer's and Parkinson's enabled by neuroscientific algorithms in AR/VR via continuous telemedical monitoring

1. We leverage neuroscience and
machine vision to enable the
early detection of
neurodegenerative diseases
by building a “pulse watch for
the brain”
TEASER
INFO
HUMAN ATTENTION
IN FOCUS

2. Our Eyes: “Mirror of the
Brain“
Our founder and CEO Christian
Kusmitsch, PhD is a neuroscientist
His research field is human attention,
advocating:
“eyes reflect brain activity“
One of his patents is applicable for this
venture
By interpreting a set of eye-related
parameters,

3. Non-invasive brain tracking is going
mainstream
In the last three decades
technologies to measure heart-
related signals were
conceptualized, developed and
commercialized, gradually
reaching mass-market appeal.
biofeedback
subject cuffs, sensors & co.
traditional measurement
methods
modern, user-friendly
solutions
>> Brain-monitoring is the next frontier in biofeedback and will enable various medical applications from early
EEG
data from wearable pulse measurement device
data from specialized AR glasses / high-end camera
1990 -
2020
2020 -
2030
We have the expert team, patent,
partners and customer pipeline to
record, analyze and interpret
correlates of attention and
cognition (e.g. eye-movements,
eye-blinks), pointing at fatigue
and mental irregularities.

4. The product
We partner with several high-end
augmented reality glasses
manufacturers that enable us to
record eye-related parameters at
very high spatial and temporal
resolution
We analyze and compare captured
data to individual history and the
relevant peer group

5. Early diagnosis of aging-related neuro-degenerative disorders
Continuous monitoring of eye-related parameters can detect early signals of mental
degradation and neurodegenerative diseases, e.g. Parkinson’s and Alzheimer’s
disease.
In this context, interpreting eye behavior serves as
proxy for pathological
changes in brain function which can be induced by
different factors.
Changes of neurotransmitters in the brain influence
eye-movement patterns which consequently
significantly deviate from the norm.
Early detection can have significant benefits, enabling
timely treatment
We have submitted a research proposal to the European Commission’s call for
Active Assisted Living (AAL):
Early detection use cases for elderly

6. Co-founders: Expertise in neuroscience, health
and business
Christian Kusmitsch, PhD
Chief Executive Officer
• PhD in Neuroscience, University of Vienna
and University of California San Diego (UCSD)
• Brain researcher at the Institute of Public Health
Vienna
• Management consultant focussing on pharma
and healthcare
• Former R&D and innovation manager at
UBIMET, a Red Bull company
Aladar Tepelea
business development
• Corporate finance and investor relations professiona
• Partner in strategic innovation consultancy
• Connector to venture investors, lecturer on business
development
• Former BlackRock and Novartis strategy manager

7. Technical team: Deep know-how of seasoned
experts
Grischa Meyer, PhD
Chief Technology Officer
• Scientific Application/Infrastructure
Specialist at Roche
• Full-stack Engineer at real-time speech
analysis venture
• Founder of several technology startups
• Senior Software Engineer and
Application Architect at Monash
University, responsible for architecture,
development, operations for open-
source data management solutions
focused on large scientific data
• PhD in Biophysics from University of
Queensland, conducting several
projects on software platforms,
including one on high-performance
Dipl.-Ing. Dr. Kurt Schröder
machine vision and hardware
development
• Electrical and communication engineering
studies at
the University of Technology in Vienna
• Habilitation in the field of high-power laser
technology
• Professor at the Department of
Nonconventional
Processing, Forming and Laser Technology
(Faculty of
Mechanical Engineering), Vienna University
of Technology
• Founder of iiNES - Innovative Engineering
Solutions GmbH:
engineering advisory for electrical and
Christian Stampf
machine learning and platform
development
• Former automotive IT executive
• Deep learning setup and integration
• Web and App development for
dashboard and backend
• Behavioral scientist, optimizing
engagement metrics
• Long-standing work experience in
China and Taiwan, familiar with local
cultural specificities

8. Christian Kronseder
data science
• Professor for data science at FHNW Switzerland, School
of Life Sciences
Alexander Lorz
technology platform
• Founder aiso-lab: consulting enterprises on AI solutions
• PhD in Applied Mathematics, University of Cambridge
• Associate Professor at the Sorbonne and the Pierre and
Marie Curie University
• Referee for journals and institutions, e.g. Nature
Michael Schmutz
marketing
• Seasoned marketing and PR executive
• Strong background in marketing of innovative technical products
• Creative Director at Y&R, Wunderman
Advisory board: Broad range of expertise and
large network
Alfred Stepan
finance
• Deputy Head of Finance at one of the market leaders in
the health care sector
• Specialist in financing R&D infrastructure
Reinhard Stary
strategy
• Insurance top-executive, CEO/CFO/ board member in high
tech companies
• LBS and Columbia University Alumnus

9. Why now?
• Recent technological developments (high-quality camera affordability, increased frame-
rates and resolution, faster CPUs, scalable neural networks for deep learning) enable us to
leverage the previously conducted research of the founder
• We own a patent that covers the functionalities and workflows of the product
• Working prototype for dry-eye detection is ready and can be adjusted to application-
specific use cases
• Integrating further signals will enable us to add functionalities (e.g. pulse measured via
camera filters, voice sentiment via headsets)
• Trend to VR/AR and gamification is ideal for behavioral data collection (headsets) and
combination of signals
• Self-measurement is a growing trend (e.g. fitbit, health apps), brain signals will be a further
milestone on the road to the 'quantified self'
• Direct competition is overestimated: consumer(research) applications use eye-tracking to

10. We look for
• investors, ideally 'smart money', opening doors in relevant
use case verticals
• companies looking to conduct pilot studies or partnerships
for research projects
• advisory board members with domain expertise or industry
network
• grants and non-dilutive funding
• referral partners
ContactHUMANATTENTIONINFOCUS
Dr. Christian Kusmitsch,
co-founder
CEO and Chief
Neuroscientist
ckusmitsch@mindset-
technologies.at
+43 664 511 2955
Aladar Tepelea, co-founder
business development
aladar.tepelea@evitive.net
+41 77 9234 961
Zurich, Switzerland

11. Appendix

12. F.A.Q. – Frequently Asked Questions
• How are you different from eye-tracking applications?
For us gaze direction is less relevant, for our machine learning algorithms we use entirely
different input variables (e.g. pupil dilation, facial blood flow)
• Are you exclusively using the eyes for detecting activity / attention levels?
We also use additional signals like facial blood flow and depending on the use case, we
can add signals like keystrokes,
(macro-)movement sensor data, voice inputs, etc.
• Why do you need external hardware – could you not just use phone / screen cameras?
In order to detect subtle signals like changes in blinking rate we need equipment which can
process these kind of inputs.
At the same time, our calculations require high amounts of processing power. Therefore
they should not run on the user’s device, but on ours, externally (in order not to
compromise performance).
Hence, we run on a specialized chipset combined with cloud analytics. This can change in
the future as hardware communication interfaces will advance.
• Are companies like Tobii competition for you?
Their company is focusing on gaze direction and eye-directed AR motion controls with
comparatively low-resolution (of time) cameras.
We use different signals, have different use cases and our partner Viewpoint System has

13. Deploying best-in-class hardware
View Point System (VPS) is a world-leading eye tracking system,
made in Austria which
we use to track verious KPIs related to gaze direction, pupil size
and blink frequency
Additionally, VPS 19 enables direct voiceline communication