LIFEdata is an AI platform that uses data from smartphones, IoT devices and user behaviors to power conversational assistants for brands. It aims to make brands more relevant to users' daily lives by integrating them seamlessly based on behaviors, lifestyle and emotions. The platform collects small data points to gain insights and drive intelligent, contextual actions and recommendations for businesses around users' behaviors and lifestyles.

1. Powering the Internet of YOU
A conversational AI platform to make brands relevant
because seamlessly integrated in their users’ life and
behaviors.
Turn small data from smartphones, smart home and
IoT (behavior, lifestyle, emotions) into human-like,
intelligent actions.
Instant & Contextual.
Event & moment-based technology that uses AI and
behavior science to build business-driven actions
around the user’s behavior and lifestyle.
1

2. Chatbots
The chatbot is the poor relative of the intelligent
assistant.
A chatbot is a domain-specific text-based
conversational interface that supports users with a
limited set of tasks.
The chatbots market size is expected to grow from
USD 703.3 Million in 2016 to USD 3,172.0 Million by
2021, at a Compound Annual Growth Rate (CAGR)
of 35.2% during 2016–2021.
2

3. Smart Assistants & Smart Home
When we think of intelligent assistants like Alexa or
Siri, the only time you’ll believe they’re really good is
if they understand you properly; most of the time,
they simply can’t. It is not the speech recognition
which fails. It is the missing focus and lacking
reasoning of these systems, because they all can do
a lot of things reasonably well, but nothing perfectly.
The Global Intelligent Virtual Assistant (IVA) market
is expected to grow from $660.46 million in 2015 to
reach $4,200.98 million by 2022 with a CAGR of
30.3%.
3

4. The Omni-Channel Dilemma
Consumers are increasingly interacting with
companies across multiple channels based on
convenience, habits and ease of contact.
Are you receiving the right information at the
right moment?

5. Consumer Expectations
People who routinely find answers at light speed will
expect the same of their brand of choice. Moreover, just
as algorithms show advertisements tailored to the user,
the public expects recommendations precisely tailored
to them: their location, their schedules and habits,
surroundings, beliefs, and identity. They also want
services and appointments on their schedule , around
the clock.
The consumer expects:
• Google-like ANSWERS. Not searching information
• Amazon-like PERSONALIZED RECOMMENDATIONS.
Not long purchasing processes
• WhatsApp INSTANT SIMPLICITY. Not contact forms

6. From Utility to Everyday Partner
Customer interactions: Offering new services that allow
us to be part of our customers’ daily lives, not just when
we bill them or during a claim, thus increasing our
interactions with our customers. Because we don’t want
the customer experience to be reduced purely to
invoices and claims management, our aim is to increase
our non-transactional-related interactions.
Purchasing process: A simpler and quicker way of
personalized recommendations and instant, contextual,
event-driven offers would allow our customers to
overcome a major sticking point by bringing long,
complex administrative processes to an end.

7. Enterprises’ Painpoints
REAL-WORLD DATA COLLECTION
FROM DATA TO DATA-DRIVEN SOLUTIONS
(PROCESS AUTOMATION)
TECHNOLOGY IS STUPID: Today’s commercial natural
language systems like Alexa, Google, Siri… only
understand commands, not conversations. The problem
is, people can’t express complex ideas with commands;
a dialog is needed to communicate effectively.
APP OR DEVICES DOES NOT TAKE INTO ACCOUNT
THE USER’S PHYSICAL WORLD EXPERIENCE, NOR
DOES IT GAIN INSIGHTS FROM OTHER DEVICES:
This narrow view of the user limits the app or device’s
ability to impact the user’s choices.

8. Meet LIFEdata
Our mission is to turn any organization into a thinking
business.
By embedding a cognitive system that autonomously
understands and reasons at scale on dark data
generated by people and things, each organization can
make the most of its unique competitive advantage.
ONLINE-MERGING-OFFLINE (OMO / O2O) VIA IOT
By leveraging smartphone sensor data we detect and
predict human behaviors and enable our partners to
deliver high relevant contextual communications to their
users, whether it’s a smart enterprise or a brand that
adapts to your life.

9. LIFEdata Halo
LIFEdata Halo is a multi-tier enterprise technology to
automate and simplify user experience & productivity
connecting your customers and your employees via the
Internet of Things.
One simple client hub orchestrates data collection and
contextual, personalized conversations to bridge digital
experiences with the physical world.
The platform has a microservices-based architecture to
deliver relevant data in real-time to the various service
layers and it plugs into your systems seamlessly.

10. Integrate Behaviors into Business
LIFEdata Halo is an enterprise-grade conversational
platform powered by artificial intelligence and behavioral
science to turn IoT data into business using goal-driven
smart bots (chatbots, smart assistants, voice-activated
bots).
One hub to connect data, insights and action:
• Captures and collects data from smartphones,
wearables, voice assistants, smart home sensors
• Processes user events integrating business processes
into the user’s lifestyle (smart recommendations, next
best action…) where users interact in their daily life,
24/7, omnichannel
• Plugs into your CRM and in-house systems delivering
a next level user experience on web, mobile app,
WhatsApp for Business, Facebook Messenger
connecting your customers and employees with
relevant data in real time.

11. Pair Business with Behaviors
Our AI enables global enterprises and SMEs
to use moments, events, behavioral patterns
and prediction to better engage with their
customers and employees.
LIFEdata Halo is the simplest and fastest way
to start the smart enterprise process
automation creating and managing:
• Omni-channel smart bots
• Action-based FAQs
• Chat-based ecommerce stores
• Conversational live ads.

12. Make it Personal
The platform acts as:
• A smart advisor
• Omni-channel support
• Online-to-Offline intelligent automation
• Smart collaboration
To merge digital experiences and real life
(Online2Offline) with a moment-driven, time-
series approach around each user’s behavior
and lifestyle, leveraging:
• MOMENTS
• TRAITS
• PERSONALITY INSIGHTS
• PLACES
• HABITS
• PREDICTIONS

13. Process Automation Made Simple
Conversation triggers:
• Continuous data collection
• Process automation.
Business logics are created with intuitive
building block configurations around live,
behavioral moments.
Omni-channel consistent conversation delivers
a human-like sense through context
persistence.

14. Online-to-Offline
Intelligent Automation

15. Customer Data Infrastructure
All data from conversations (we call them
SEEDS – medium, date, time, location,
associated behavior, sentiment, relevant tags)
is chained and processed into a client hub,
and automatically compared in different
timeframes to develop individually tailored
traits and behavioral models (user journeys).
CONVERSATIONAL IDENTITY GRAPH
The customer hub is aimed to provide
intelligent automation to conversation
according to enterprise custom business
logics.

16. BUSINESS APPLICATIONS
FINANCIAL SERVICES
Banking
• BEHAVIORAL FINANCE
• SMART BANKING (OPEN API & PFM)
• MOMENT-DRIVEN BANKASSURANCE
Insurance
• EVENT-DRIVEN INSURANCE
• MOMENT-DRIVEN BANKASSURANCE
• INSURANCE TARGETED INCENTIVE PLANS
• QUANTIFIABLE HEALTH INSURANCE

17. BUSINESS APPLICATIONS
SMART ENTERPRISE
Vertical: Smart Enterprise
• CONVERSATIONAL ENGAGEMENT
• INSTANT (ON DEMAND) RECOMMENDATIONS
• ONLINE-TO-OFFLINE PROCESS AUTOMATION
• SMART COLLABORATION
• CHAT-BASED ECOMMERCE

18. BUSINESS APPLICATIONS
DATA-DRIVEN MARKETING
Vertical: Marketing
• CONTEXTUAL BANNERBOTS
• CONVERSATIONAL LIVE ADS
• LIFESTYLE-DRIVEN BRANDED CONTENT

19. OMAR FOGLIADINI
Founder and CEO
Serial startup entrepreneur
MASSIMO CORTINOVIS
Co-founder and CXO
Serial startup entrepreneur
BEATRICE ALQUATI
COO
AMIT SHARMA
CTO
DREA BURBANK, MD
Advisor - Translation Disruptive
Technologies to Behaviors
Stanford University
SOHAIB IMTIAZ, MPH
Health Advisor - Digital Innovation
Digital Innovation Director
British Society of Lifestyle Medicine
TINA WOODS
Advisor - Innovation
Futurist, technologist, AI and open data
consultant to the NHS and Gov.UK
› Meet The Team
Our management team has a wealth of experience in user experience, process digitization, knowledge management, data science, artificial intelligence, mobile and
complex digital applications.
BUSINESS OPPORTUNITY
LIFEdata is a MBO (share capital CHF 1,614,515) - completed in October 2018.
LIFEdata’s technology is rooted in 4+ yrs R&D of our executive and tech team for the Suisse Life Science project, a big data/connected health company that raised more
than € 3,000,000 to develop and market its connected lifestyle technology. Suisse Life Science’s proof of concept has been successfully marketed in 3 continents
generating over $ 1,5 ml in sales.
ORGANIZATIONAL MODEL
LIFEdata is a flash organization based on an elastic network of small, decentralized, atomized teams sitting on top of standardized common internal systems. LIFEdata at
its core is two platforms - a knowledge management framework and the enabling technology skill set. Sitting on top of those, there is radical decentralization.
› Advisors

20. › Nominations & Awards
Cube Tech Berlin 18
Digital/Physical world
Automation & AI
CogX Artificial Intelligence Awards London 18
Nomination
Startupbootcamp Digital Health Berlin 18
Finalist (top 20 platforms 2018)
Bayer G4A Grant for Apps Milan 18
Finalist
Plug & Play Health & Wellness Silicon Valley 18
Nomination
Startupbootcamp Fintech Amsterdam 19
Finalist (top 23 platforms 2019)
Wayra UK London 18
Semifinalist
F10 Zurich 18
Finalist
Plug & Play Tech Center Silicon Valley is one of the most reputable
ecosystem connecting forward thinking corporations, VC’s and the best
startups of the world. Launched Paypal and Dropbox among the others.
Startupbootcamp FinTech & CyberSecurity Amsterdam is the leading
accelerator of startups supporting companies disrupting the Financial
and Security sectors. Selected among the 23 most interesting
technologies in Europe by ING, Rabobank, Achmea, Vivat, PGGM
CUBE Ecosystem is a Berlin-based innovation network that undertakes
curated matchmaking between handpicked B2B deep-tech startups
and corporate partners.
The CogX Awards celebrates the best-of-the-best in AI and emerging
technologies.
Europe’s most serious accelerator program on Digital Health. Selected
finalist among 4,000+ companies.
Bayer G4A is a global program that offers support to startups and
companies that are developing innovative solutions in health and care.
The AI & Blockchain Accelerator is designed to accelerate the best AI
& Blockchain start-ups in Europe to scale globally. Supported by the
University of Edinburgh, home to the largest centre for computing
science and informatics in Europe, Telefonica and Cisco.
Zurich based Fintech program working with Swiss stock exchange,
Julius Baer, Baloise, Generali, Zürcher Kantonalbank, PWC, Raiffeisen,
ERI Bancaire, Eny Finance
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