AI 4 Impact Demo Day Slides

1. MAS.664
AI4Impact
DEMO DAY
May 5, 10:00am-12:00pm
E14, 3rd Floor Atrium

2. AI4Impact | Instructors
Ramiro Almeida
MIT
Dr. Ryan Chin
MIT
Ramesh Raskar
MIT Professor
Joost Bonsen
MIT Lecturer
Dr. Vivek Sharma
Postdoctoral Researcher
● Ramiro and Ryan co-founded TRAM – a Global Sustainability
Marketplace
● Ramiro and Ryan Co-founded Optimus Ride (OR), a self-driving vehicle
company based in Boston, MA
● Start-up veterans and considered global experts in mobility and Smart
Cities
● Together they raised over $100M in venture capital from investors like
Emerson Collective and Reid Hoffman
● Built world-class engineering team of AI, Robotics, and Mechatronics
experts
● Ramiro is a Harvard University Loeb Fellow and Scholar at the MIT
Media Lab
● Ryan spent 18 years at MIT inventing the concept of Smart Cities and
developing the CityCar -- a foldable, electric, shareable, two-passenger
vehicle with General Motors and the Architect Frank O. Gehry.
● Camera Culture Research Group
Director
● Focus is AI and Imaging for
health and sustainability.
● He received the Lemelson
Award (2016), ACM SIGGRAPH
Achievement Award (2017),
DARPA Young Faculty Award
(2009), Alfred P. Sloan Research
Fellowship (2009), TR100 Award
from MIT Technology Review
(2004) and Global Indus
Technovator Award (2003).
● Created &/or co-taught Development
Ventures plus nearly twenty other MIT
classes, helping students from MIT &
Harvard communities develop dozens
of ventures
● Founding Program Director for the MIT
Legatum Center for Development &
Entrepreneurship
● Former Lead Organizer MIT $100K
Entrepreneurship Competition
● Ran MIT Founders Project venture
census, first to quantify global MIT
impact
● Media Lab research with led by
Prof. Ramesh Raskar, and mentored
by Prof. Alex 'Sandy' Pentland.
● Researcher at the MGH, Harvard
Medical School.
● Expert in Computer Vision, Machine
Learning, and Privacy
● Received best paper awards at
tier-1 vision and machine learning
conferences.

3. Academic
Research
Hackathons
Contests
Curiosity +
Community Impact
Team
Problem
BizPlan/Solution
Innovator ≠ Entrepreneur
Startup
Incubator
Non-profit
CorpVenture
3

4. SPOT
Problems
4 Classes
PROBE
Solutions
4 Classes
GROW
Adoption
LAUNCH
Deploy
Venture
Studio
Class
Academic
Research
Hackathons
Contests
Curiosity +
Community Impact
Startup
Incubator
Non-profit
CorpVenture
PRE-REQs
-160+
Applications
-Course on
Blockchain,
Web3, and AI

5. AI4Impact Demo Day | Our Venture Capitalist Speakers
Vinod Khosla | Founder of Khosla
Ventures and Co-founder of Sun
Microsystems
Steve Jurvetson | Managing Director &
Founder of Future Ventures, Board
Member of SpaceX
Richard Dulude | Co-founder & General
Partner at Underscore VC
Jason Pontin | Partner of DCVC and
Board Member of ZwitterCo
Grace Isaford | Principal & Venture
Capitalist at Lux Capital and Board
Member at STVP
Bilal Zuberi | Partner at Lux Capital and
Board Member at cloaked
Paul English | Co-founder and CEO of
Boston Venture Studio and Co-founder of
Kayak
Reed Sturtevant | General Partner at The
Engine and Managing Director at Project
11

6. AI4Impact Demo Day | Judges
Graham Dodge | President of the
PathCheck Foundation, Executive
Director of MAGIC
Umar Arshad | Co-creator at Fyat Lux,
and CEO & Cofounder at Matiria, Faculty
at MIT Sloan School of Management
Susan Garfield | Chief Public Health
Officer and Global Client Service Partner
at EY
Shahid Azim | Former CEO of REACT
Neuro and former Head of Onsite Service
Delivery at CIC Health
David Blundin | Chairman of the Board
at Cogo Labs, Chairman and Co-founder
of EverQuote
John Werner | Founder of Ideas in
Action, Inc., and Managing Director at
Link Ventures
John Harthorne | Founder and
Managing Director at Two Lanterns
Venture Partners
Jinhua Zhao | Chief Scientist at
TRAM.GLOBAL, Director of the MIT
Mobility Initiative

7. AI4Impact Demo Day | Judges
Rob Fisher | CEO of Cogo Labs and
Board Member of Vestmark
Stash Pomichter | Board Member of
Oculo AI and Investor at REMUS Capital
Jamie Goldstein | Founder and Partner
at Pillar VC
Parker McKee | Principal at Pillar VC,
Co-founder at the melon
Habib Haddad | Managing Partner at
E14 Fund and MIT Media Lab Affiliate
Sandy Pentland | Director of MIT
Connection Science and Professor at
MIT
Eric Chen | Partner of OVO Fund and
Special Limited Partner of Equilibrium
Real Estate Investment
Neha Narula | Director of the Digital
Currency Initiative at MIT Media Lab

8. # Team Name # Team Name
1 Carboncy 8 Cru
2 Glimpse 9 Kaari
3 Moss 10 System Two Cyber
4 SkillVerse 11 Alaif
5 Corn 12 Loona
6 Product DAO 13 Care365
7 OwnIt
AI4Impact Demo Day Presentation Schedule

9. Judge’s Scoring Sheet
You are invited to evaluate the 14 student teams for the AI4Impact course on Impact,
Uniqueness, Completeness on a scale of 0 to 5, with 0 being the lowest score, and 5
being the highest score. Please also add the total (0-15) and add any comments and/or
suggestions in the Comments section.
The categories of scoring relate to the following:
Impact: The societal impact that the project may have when launched
Unique: Differentiation/niche in the presented market opportunity and/or solution
Complete: Whether the pitch covers market competitors, and short and long term plans
Given the early stage explorations, the teams are NOT expected to discuss market size or
quantitative business plan. Teams have been asked to keep problem statements to 30
seconds.

10. AI for Impact Spring 22
Final Presentations
5 May 2022
● Add your Finale Slides to this shared deck which we’ll use to present on Thurs 5 May 2022
● Be sure to list all your team member names & emails
● Keep your own copies for backup
● Google doc Sandbox… https://tiny.cc/a4ispring22

11. AI for Impact ~ Teams ~ Spring 2022
Please edit & improve your keyword team description here…
● Alaif ~ Health Data Ownership &
Empowerment
● Loona ~ Women’s Health
Democratization & Community
● Vizzhy ~ Full Stack Type 2
Diabetes Reversal Program
● Carboncy ~ Democratizing
Verified Carbon Credit Investing
● Moss ~ Connecting Creators &
Supporters
● SkillVerse ~ Democratizing High
Quality Education
● Corn ~ Accessible & Affordable
Trade Credit Insurance
● Product DAO ~ Decentralized
Product+Venture Studio
● Glimpse ~ AI Validated Footage
● OwnIt ~ Data Ownership &
Authentication
● Cru ~ Funding-as-a-Service for
LatAm Startups
● Kaari ~ Artisanal Craftsourcing
Marketmaking
● System Two Cyber ~ Gamifying
Enterprise Cybersecurity

12. Remember, strict presentation time limit!
Three (3) Minutes per Team

13. Joost’s Finale Tips
1. Clearly state your venture name & add contact info to slide(s)
2. Summarize your venture essence in a descriptive phrase or sentence
3. State the Core (or even your Initial focus) Problem within the Bigger Problem
you’re solving
4. State brief highlights of your Solution and what differentiates you from current or
likely rivals
5. Share what your team has done (or are doing) that will most boost your Listeners
confidence that your approach works
6. Share what most differentiates your Team, e.g. “our CTO is building this for PhD”
7. Possibly anticipate & address any key but un(der)stated objections to your
approach
8. Close with what’s next and your “ask” for the Listeners (e.g. advice, contacts,
etc)

14. Insert your Demo Day
slides starting here based
on presentation order

15. Theme 1
Cities & Sustainability
Climate, Food/Ag, Energy, Transportation, Urbanization, etc.

16. Carboncy
MAS.664
AI4Impact DEMO DAY

17. Democratizing investment
in verified carbon credits

18. Carbon Credits market is BIG and Growing Fast
Value of
Emissions
~ 700 Bn USD
(34 GT CO2)
OFFSETTED
~ 262 Bn USD
(10.6 GT CO2)
Voluntary
Market
1 Bn USD
2x Growth YOY
USD $30 Billion
by 2030
3x more investments needed to
offset current emissions (34 GT CO2)
1
/
3
r
d
700x more investments
needed if we look at
Voluntary Markets!

19. LACK OF TRANSPARENCY
+ Low traceability on projects
+ Price Varies a lot among sellers
Yet Capital is not flowing to market as it should
be…WHY?
Peris - Green Project Developer (Kenya)
“I wish I could sell
credits from this
small project! But
its not big enough
for Vera!”
LACK OF INCENTIVES
+ Can’t buy to invest, just to offset!
+ Lots of barriers to sell for SMEs
Peter - Green-Conscious Student (USA)
“Carbon Credits
are so shady…I
don’t even know
what I’m buying!”
IT'S AN OPAQUE MARKET!

20. LACK OF TRANSPARENCY
Unlock trust & transparency for all
+ USERS
We Solve for Transparency in this market
++Unlock a massive TAM & IMPACT
Peris - Green Project Developer (Kenya)
“I will help
my local
community
thrive!!!”
LACK OF INCENTIVES
Buy and Hold Credits
++ TAM
Demand lower barriers for Peris
+++ IMPACT
Peter - Green-Conscious Student (USA)
“I invest
and help
the Planet!”

21. PHASE 1
A marketplace with
Transparent and
Standard Information
On Chain
+ Scores
+ Prices
+ Traceability
…BROWSE

22. PHASE 1 …BROWSE
PHASE 2 …INTEGRATE
Bring Impact
to every
aspect of
people’s life
+ Scores
+ Prices
+ Traceability
+ON YOUR APP
OFFSET TRIP FOOTPRINT
Your $5 contribution offsets 305
lbs. of CO2 emissions.
Project: Pachama’s Forrest
Region: California, USA
Certification: Vera

23. PHASE 1 …BROWSE
PHASE 2 …INTEGRATE
LIVE ON YOUR
$CARBON - YOUR
MONEY, BACKED BY
NATURE
+ Scores
+ Prices
+ Traceability
+ ON YOUR APPS
+ON YOUR
LIFE
PHASE 3 …TOKENIZE
buy, hold, sell, send, or burn the token
to offset your carbon footprint
- Token Pegged to our own VCU

24. Wait…
Why is NO
ONE ELSE
doing this?
The SEC does
not regulate
this market
Carbon Retailers
want to sell their
Own Projects, and
Own the customer
relationship
Buyers want an
Independent view of
value & Credibility,
and they want a way
to view ALL projects
available

25. A team that encompasses our main
stakeholders
George Potts
MIT SFMBA’22
Sharan JM
MIT MSMS’22
Rishabh Goyal
MIT MBA’23
Rain Chan
Harvard GSD
Andrew Piscione
MIT MBA’23
Peris Bosire
MIT MBA’23
★ ESG Experts
★ Investors
★ Green Project CEO
★ Consultants
★ Product & Tech
★ Creative Designer

26. Democratizing investment
in verified carbon credits
THANK YOU! QUESTIONS!
carboncy.app

27. Theme 2
Media & Education
Entertainment, Content, Learning, Metaverse, Personalization

28. Glimpse
MAS.664
AI4Impact DEMO DAY

34. Glimpse
Verified Footage
+ +

35. Glimpse
Glimpse Footage Lifecycle

36. Glimpse
Request footage
Pick a location and request footage from
nearby users.

37. Glimpse
Capture the moment
With or without a request, users can use
the app’s camera to take a validated photo
or video.

38. Glimpse
AI validation
When footage is captured, we use
cross-scene computer vision and metadata
information to validate genuinity.

39. Glimpse
Find real events
With the Glimpse map, validated videos are
presented with their real time and place.

40. Glimpse
Long Term - Beyond Journalism

41. Glimpse
Launch Strategy
Local Pilot
Initial Data SDK
Funded Gigs Autonomous
Market

42. Glimpse
Media Gig Economy
User Engagement
Incentive

43. Glimpse
The Team
Ido Calman
Tech / Design
Ben Rocci
Business / Ops
Taylor Carter
Product / Strategy

44. THANK YOU!

45. Glimpse
Launch Strategy Detailed View
Platform Seeding Scale Up PLG Expansion
Market Anchor city (ex. NYC or DC) Anchor city National
Number of Users 1000 10,000 >100,000
User Paid gig workers All All
Video Consumer Local News Media Local News + Limited National Exposure All News Media +
Follow-on partners
Upload Incentive Cash payout per video Small cash payout + revenue share Revenue share
Consumer
Incentive
Low cost, high value videos Robust local event coverage Pervasive video
cataloging
Verification
Method
Human AI AI
Product Glimpse App Glimpse App Glimpse App + SDK
BACKUP SLIDE

46. Glimpse
Competitive Business Model Analysis
Company Customer Video Source Incentive Model Revenue Model Ownership Model
Fresco News
Local news media Ordinary people $50 per aired video
$20 per aired image
30% of payout Unlimited non-exclusive right to use
and license, while uploader retains
ownership.
Citizen
Local news media
App premium
service users
Ordinary people Local, real-time news
and safety awareness
$25 per hour for
contracted citizen
journalists to seed
platform
Assuming video sales to
local news but tbd
$19.99 per month for
Premium security service
Unlimited non-exclusive right to use
and license, while uploader retains
ownership.
Shutterstock
Enterprise, Media,
Creators
Many sources
including
crowdsourced
content
15%-40% of license
revenue depending on
number of licenses sold
Referral incentives for
customers and
uploaders
Tiered subscription model
and a la carte download
options
Unlimited non-exclusive right to use
and license, while uploader retains
ownership.
Specific license agreements for
"Editorial Content"
BACKUP SLIDE

47. Moss
MAS.664
AI4Impact DEMO DAY

58. SkillVerse
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AI4Impact DEMO DAY

59. 59
SkillVerse
VR platform where students can master soft skills

60. 60
If a job can be done by a machine or software, it will.
SkillVerse

61. 61
Not Scalable
Effective
SkillVerse
Not Effective
Scalable Scalable
Effective
SkillVerse

62. What makes social interactions so unique
are the emotions they generate in us
Governing those emotions, is the key to
mastering soft skills.
62
SkillVerse

63. VR Platform
63
SkillVerse

64. 64
Synchronous Sessions
1:1 AI interaction
SkillVerse

65. 65
High-Schools, College, Universities
United States
37 Million Students
$250 Per Student
TAM $9.25B
SkillVerse

66. VR
Assumptions
Validation +
MVP
Platform
Beta
Go to Market
USA
Enter new
Markets
Enter
Enterprise
Market
Aug. 2022 Dec. 2022 Mar. 2023 Jan. 2025 Jan. 2026
SkillVerse

67. 67
George Guida
AR/VR Designer
Graziano Gallitto
Soft Skills Expert
Luis Lamb
AI Professor
Kunio Iwata
Finance +
Gamification
Joyce Chen
Engineering +
Consulting
SkillVerse

68. Giving today’s students the skills they
need for the jobs of tomorrow
68
SkillVerse

69. Theme 3
Finance & Commerce
Investment, Exchange, Markets, Tokenization, Inclusive Economies

70. Corn
MAS.664
AI4Impact DEMO DAY

71. Insuring the future of small businesses
Get Financed. By your Supplier.

72. As a small business owner, I have no access to low
interest rate loans. Temporary shocks to the market
affect my business disproportionately due to lack of
capital and my growth is suffering.
Mira Raj, Owner
$1M Shopify Stationery Store
Our Story
“
“

73. We enable small businesses receive net terms from their suppliers by
leveraging our AI credit score and insurance models.
Our Solution
Seamless integration
with accounting
software
Insurance for
suppliers against
defaults
AI credit score
algorithm for SMEs
INTEGRATE ANALYZE INSURE

74. Competitive Landscape
Access to
Financing
Low Rates

75. Roadmap
Acting as a Broker Underwriting as MGA Underwriting as Provider
Funding Sources (Next 12 months)
Venture Studio Y Combinator Techstars
eCommerce Credit
Insurance
SME Credit
Insurance
Main SME
Insurer
Short-Term
6-12 months
Medium-Term
2-3 years
Long-Term
4-6 years

76. The Team
Business Development;
FinTech M&A Lawyer
Boaz
Fachler
PhD student at
MIT CSAIL
Kapil
Vaidya
Consulting; FInancial
Services
Priya
Srinivasan
Khadija
Ba
Data Analytics;
Incubator Program
With our deep knowledge in finance, AI, and business, we are the right team for this task
bfachler@mit.edu kapilv@mit.edu
psrini@mit.edu khadija@mit.edu

77. Product DAO
MAS.664
AI4Impact DEMO DAY

78. Connect Top Web3 Talents to
Build Web3 Products

79. Problem - It’s hard to curate talent to build in Web3
Talents Companies
“”I have been working as a product
manager ….for more than 5 years.
I'm looking for a side-project that
needs a product manager, especially
where I can improve myself outside
of work! I want to learn more in
Web3".
Eve, Product Manager, YOE 5 Yrs.
“I have created bounties for talents to
work on before but the quality of
deliverables are not great. How can
you ensure talents can work together
to create better output".
Adam, Product Lead.
● How do I transfer my skills to
web3?
● How do I find the right project?
● How do I learn how to build into
Web3?
● How do I attract the best talent?
● How can I ensure quality output
from talent?
● How can I coordinate a distributed
workforce to build products?

80. Product DAO is the Solution
We are a platform that decentralize how talents build products with companies in Web3
Screen
Score
Certify*
Quality Check
Product Roadmap
Translate Roadmap
into Bounties
Manage Bounties to
Attract Certified
Talent Teams
For talent, we: For companies, we:
* Initial focus is on Product, Tech and Design roles
Match!

81. Product DAO is the Solution
A platform that enables you to design, build and scale your product
● Product leader can
○ Track bounty
progress
○ Review & select
submissions
● Talent team members can
○ Earn NFTs for
contribution and/or
completion
○ Earn crypto and/or
equity in projects

82. Market Opportunity
We are operating at the intersection of two huge market trends
Web3
Crypto job postings globally
went up by 400 per cent in
2021
Global Gig Economy
~$445B
Expected size by 2023,
(CAGR) of 17.4%

83. Value Proposition
Analytics Layer
Insight on project
submission
Collaboration Layer
Talent Syndicate
Tokenization Layer
Skill NFT credentialing
Rewards

84. Pilot Underway at MIT and Harvard
We are laser-focused on learning along two pathways
Product 1: MOSS
Product 2: MINE
Product Themes: (API, Data analytics, Identity verification)
Product Themes: (NFT, Fan Engagement, Sports, Marketplace)
PROGRESS: 3 potential projects to
sponsor 1st bounties
#2: Can we build a product roadmap through bounties?
#1: Can we source a high quality pool of talent?
Product 3: PRISMA
Product Themes: (NFT, Enterprise Art Gallery, DeFi)
PROGRESS: 62 MIT/Harvard students
signed up for our beta; Notion page live!
● 42% Product Management
● 29% Business Development
● 10% User Research
● 6.5% UI/UX
● 3% Marketing
● 5% Engineering (incl. Front
end, back end, web3)

85. Launch Strategy
Launch Pilot at MIT & Harvard
● Onboard 100 students
● Onboard 3 company
partners
Phase 1:
2 - 3 months
Phase 2:
6 - 9 months
Phase 3:
12 - 18 months
Expand to New Universities
● Onboard 1000+ members
● Onboard 10+ company
partners
Global Expansion
● Onboard 10k members
● Onboard 50+ company
partners
ASK: Up to $500K to help launch pilot and hire engineering and
product team to build the platform

86. Our Core Team
Quadri Oguntade
Vision/Product/Tech
Brian Kelly
Strategy/Operations
Ezgi Emiroglu
Marketing/Strategy
AJ Salaudeen
Tech/Engineering
Rick Ganz
Product/Tech
Mark Castleman
Finance/Partnership/Strategy

87. @productdao_
Join Us on this
Journey!
productdao.web3@gmail.com

88. OwnIt
MAS.664
AI4Impact DEMO DAY

101. Cru
MAS.664
AI4Impact DEMO DAY

102. Julio Guzmán
Co-Founder
AgendaPro
Helping LatAm SMBs manage and grow
their business

103. 40-100%
avg. cost of capital
(including warrants)
Required to risk personal
collateral
>85%
avg. founder dilution at exit
40-50%
of founders' time spent on
fundraising, financial
planning & cash operations
Accessing growth capital
generates headaches for
Latin-American founders
“As founders, we are forced to choose between risking our
personal assets or giving away company ownership”

104. Funding-as-a-Service for LatAm
fast-growing companies

105. Growth financing
● Non-dilutive
● Agile
● Scalable
Cru transforms recurring future revenue into up-front
capital for growth without dilution or restrictive terms
Banking
Payments
Accounting
Tax system
Web
scraping
NPS
Benchmarks
News
Data as
collateral
AI-driven
underwriting
Recurrent revenue
as an asset class

106. Alternative funding designed for and to empower
fast-growing companies
Founder friendly
(Tailored to founder’s financing needs)
Cost
of
capital
(Interest
rate)
Venture Capital
Venture Debt
Traditional Debt
A product designed for
start-ups and SMBs…
… with a community-sense
based on strong network effects
Founded: 2019
Valuation: $2 bn
Employees: 80

107. US$80 million Mexico and Chile SaaS
(3.4x from 2021) including >1,700 companies
Sizable and growing TAM expected to reach $7Bn ‘26
LatAm fast-growing
start-ups & SMBs
Start-ups
recurring revenue
SaaS start-ups
Beachhead
market
US$7 billion TAM by 2026 across LatAm services
businesses (marketing, professional services, etc.) and start-ups
US$1.1 billion for recurring-revenue by 2026 across
LatAm 5 main economies’ start-ups (seed to Series C)
US$300 million LatAm SaaS companies (Brazil,
Mexico, Chile, Colombia and Peru)

108. Our vision
To become the
leading provider of
Funding-as-a-Service
for fast-growing
companies

109. Jose Manuel
Rebolledo
Manuel
Mendez
Jan
Berczely
Together we combine experience in strategy, finance, machine
learning, lending and tech start-ups
Our team
Maria M.
Marte
Strategy &
Commercial
Finance &
Product
Data & Credit Tech &
Partnerships

110. Great reception from the market
+100 PMR calls with market stakeholders
+50 client conversations
+30M USD ARR from 15 clients with strong financing interest
3 LOIs in Mexico for beta pilot
+1-2M USD of capital needed for beta pilot
Seeking +1M USD on convertible notes to launch beta
Ongoing conversations with fund providers (Angels, VCs
and Lenders) and Friends & Family

111. Funding-as-a-service for LatAm
fast-growing companies

112. Kaari
MAS.664
AI4Impact DEMO DAY

113. https://youtu.be/QtuQCYDl-vQ

114. https://youtu.be/bwuhl1Y3sVE

115. Artisan Collectives
● Visual Archiving
● AR Development
● Partner Onboarding
VIDEOS
+
CRYPTO-SPATIAL
COORDINATE SYSTEM
(CSCS)
AR NFT’s
PHYSICAL ARTEFACTS
+
INSURANCE

116. Artisan Collectives
COLLECTORS
Raw material
-Color Banks
-Traders
-Artisan Enterprises
Tech Literacy
NASSCOM
BIG-TECH
encash PHYSICAL ARTEFACTS
+
INSURANCE
encash
sales
Endorsements and sharing

117. PROTOTYPE

120. shankar_ravi@gse.harvard.edu
akapur@mit.edu
anandanakapur@hks.harvard.edu

121. Theme 4
Civic & Governance
Ethics, Law & Legal System, Gov’t, Anti-Trafficking, Anti-Corruption

122. System Two Cyber
MAS.664
AI4Impact DEMO DAY

123. 123
Gamifying
cybersecurity

124. 124
124
Problem: Businesses lose $1 trillion+ to cybersecurity breaches annually,
and humans are the cause for 95% of these breaches

125. 125
125
Problem: Businesses lose $1 trillion+ to cybersecurity breaches annually,
and humans are the cause for 95% of these breaches
CISOs say employee
education the highest
priority
35%
Businesses take human vulnerabilities
seriously…
$10B
Security awareness and
training market by 2027

126. 126
126
Problem: Businesses lose $1 trillion+ to cybersecurity breaches annually,
and humans are the cause for 95% of these breaches
CISOs say employee
education the highest
priority
Attitudinal
35%
Businesses take human vulnerabilities
seriously…
…but it’s not effective with employees
$10B
Security awareness and
training market by 2027
Cognitive
Employee apathy and lack
of incentivization
Habituated bad behaviors

127. 127
127
Problem: Businesses lose $1 trillion+ to cybersecurity breaches annually,
and humans are the cause for 95% of these breaches
CISOs say employee
education the highest
priority
Attitudinal
35%
Businesses take human vulnerabilities
seriously…
…but it’s not effective with employees
$10B
Security awareness and
training market by 2027
Cognitive
Employee apathy and lack
of incentivization
Habituated bad behaviors
How do we rewire employees from cyber liabilities into assets?

128. 128
128
Solution: Our desktop app leverages behavioral economics and
tokenization to prescriptively influence cyber best practices

129. 129
129
Solution: Our desktop app leverages behavioral economics and
tokenization to prescriptively influence cyber best practices
Demonstrates “positive”
behavior
Gets rewarded with token
Employees
Redeems reward
Businesses
Sets behavior parameters,
goals

130. 130
130
Solution: Our desktop app leverages behavioral economics and
tokenization to prescriptively influence cyber best practices
Demonstrates “positive”
behavior
Gets rewarded with token
AI analysis of activities
Sets behavior parameters,
goals
Reviews trends,
recalibrates rewards
Employees
Businesses
Redeems reward

131. 131
131
Bad Behavior
Phishing Data Compliance Backend Integration/SRE
Employee clicks on malicious link
Employee does not click on
malicious link
Employee forwards email to IT,
bolstering defenses
$14 million
Employee introduces
non-compliant data to system
Employee notices non-compliant
data, but does nothing
Employee deletes or alerts data
owner to non-compliance,
reducing compliance risk
Employee creates weak
permissions for easier access to
services like AWS
Employee identifies gap and
updates permissions to comply
with company policy
Employee leads project in
identifying standards and issues &
proactively fixes permission gaps
Value Prop: Top use cases could reduce cybersecurity spending by ~$20M,
50% of average company cybersecurity budget
Apathetic Behavior
Positive
Behavior
Savings $4 million $500,000

132. 132
132
$22.7 Billion
In 2027
Casino and gaming
cybersecurity
Enterprise
cybersecurity
Global
cybersecurity
Beachhead: Casino and Online Gaming
✔ Growth in all 3 major segments
✔ Customer confidence in data integrity is
central to business model
✔ Fewer regulatory and compliance
considerations for data vs HC, finance
Follow-on: Enterprise Cyber Insurance
✔ Unmet need for user risk mitigation
✔ $28 billion TAM in 2026 (15% CAGR)
✔ New use case, rapidly growing green field
✔ Greater receptivity to early tech adoption
Opportunity: Rapidly expanding market creates massive opportunity
across the cybersecurity ecosystem, from enterprise to insurance
$146 Billion
In 2027
$184 Billion
In 2027
Follow-on: Crypto Asset Lending

133. 133
133
Our advantage: We are the only company sitting at the intersection of 3
large, growing industries
Human-centric
cybersecurity
$28B TAM
10% CAGR
Employee
rewards
$14.5B TAM
14% CAGR
Cybersecurity
awareness
$10B TAM
12% CAGR

134. 134
134
Evan Rosenfield
Co-Founder, CEO
Clayton Jones
Co-Founder, COO
Maddie Linde
Co-Founder, CPO
The team: Broad experience across cyber operations, product, and finance

135. 135
135
Up to $500,000
For short-term growth needs
The Ask
Windows app development
Product Design
Business development
Hire Chief Technology Officer
Launch beta
within 6-9
months

136. 136
Let’s Talk
SystemTwoCyber@mit.edu

137. Theme 5
Health and Wellness
Mental, Physiological, Population, Diagnostics, Therapeutics, etc.

138. Alaif
MAS.664
AI4Impact DEMO DAY

139. Renee Leatherman
Peter Holt
Belen Gallego
Felicia Liang
Aaron Perez
Giving you back ownership of your health data &
empowering the future of healthcare and wellness.
Giving you back ownership of your health data
& empowering the future of healthcare and wellness.

140. 140
I’ve struggled with a rare disease my whole
life. I would be happy to share my data and
connect with a community.
“
”
— Sal, 56 years old
I’ve had allergies since I was a child. Now
that I’m starting a family, I’d appreciate
insights on what I should watch out for.
“
”
— Rita, 31 years old

141. People should have the power to drive healthcare
innovation using their data in a transparent and
autonomous way.
141
Health conditions impact on
people’s lives more than any
other circumstance
People want to drive
innovation in healthcare
But they want control and
transparency of their own data

142. 142
A blockchain-based data asset that advances allergy research
while ensuring privacy and nurturing community.
Ownership of data
goes back to users
Users can connect
with a supportive
community
Data advances
medical research
Insights are driven
by AI/ML

143. Today, over $300BN is spent on the collection, merging,
analyzing and packaging of patient data.
143
$300BN
GLOBAL TAM
$30BN
US TAM
$3BN
US
Top healthcare data broker
in the industry

144. We see Alaif evolving over three stages, with increased
health coverage, data richness and value creation.
144
HEALTH TOPICS
DATA COLLECTION
METHODOLOGY
VALUE PROPOSITION
STAGE 1
Food allergies
In-app surveys
Data visualizations
STAGE 3
EHR databases
Predictive modelling
General Population
STAGE 2
Wearables
Integration with
existing health apps
Insights
Chronic diseases

145. Monetization of data will evolve with each stage
& the mechanisms are endless.
145
Pharmaceutical Companies
Faster and easier identification
and tracking of diverse clinical
trial candidates
Research Institutions
Access to new and more
frequent data on study
participants
Insurance Companies
Access to alternative datasets for
underwriting and enablement of
better health behaviors among
policyholders

146. Alaif is uniquely
positioned to
give users
control over how
their data is
used in an
easily accessible
manner.
146
CONTROL OF
DATA USE
DATA ACCESSIBILITY

147. Peter Holt Belen Gallego Felicia Liang
147
Finance
Analytics specialist
with a background in
data science and
investment
management
Design
Multidisciplinary designer
working at the intersection
of human-centred design,
UX/UI & behavioural
sciences
Strategy
Engineer & strategy
consultant with a passion
to transform health
through tech at a global
level
Aaron Perez
Product & AI
Engineer, investment
banker, and product
manager with a
background in AI and
healthcare
Renee Leatherman
Health & Operations
Operations and Strategy
expert with a background
in healthcare and big
data, AI, and SaaS
software
Multidisciplinary team with backgrounds in EHR, AI,
Finance, Strategy, Design and Product

148. 148
Giving you back ownership of your health
data & empowering the future of healthcare
and wellness.
Figma Demo Link

149. Loona
MAS.664
AI4Impact DEMO DAY

151. US females are on contraception

152. A community to control your contraception

153. Meet the Team
Diana Ho
Co-founder
Product / Analytics
Co-founder
Privacy / Strategy
Maddie Linde
Cristina Zottala, MD
OB/GYN Cambridge Alliance
Hannah Clough, RN
Medstar Georgetown
Amelia De Paola
Former SteelSky Ventures
Advisors

154. Initial Target Market
20- 34 years old,
Existing users of
contraceptives
US TAM

155. Competitive Landscape Analysis
Telehealth
Education
Cycle Tracking
Community

156. Solution
A platform where users can share experiences with their peers and providers.
Provide Community
for women
Share Educational Resources
in-between check-ups
Access Providers
Through telehealth services

157. Introducing Loona.

158. Business Model
Phase 1
Create a
community of
users
Establish
product
partnerships
for rewards

159. Business Model
Phase 2
Pay premium
for access to
providers
(OBGYNs,
midwives, NP)
Trade tokens
for a telehealth
visit
Create a
community of
users
Establish
product
partnerships
for rewards

160. What We’re Looking For
Users for the Loona
waitlist
Product Partnerships

161. Control your Contraception
info@loona.tech
https://www.loona.tech

162. Appendix

163. Business Model Example
User
cashes out
rewards for
in app
provider
care
P&G pays
to have
Tampax
coupons as
rewards &
ads
User
cashes out
rewards for
Tampax
Coupon
User
donates
rewards to
Planned
Parenthood
Meet with
Registered
Nurse via
Loona
Freemium
&
Premium
User
provides
data to
earn
rewards

164. Product

165. Technical Feasibility
Present Scenario:
● iOS native mobile app
● Database to store rewards
○ API to check inventory
○ API to check rewards in stock
● Store user points in app, new
questions unlock at 0 UTC
● Store user data in app (short term)
New Developments:
● AI algorithm to use biometric and
lifestyle data for new contraceptive
pill/ contraceptive method discovery
● Build a social component to connect
new businesses with responsible
menstrual products
Competing Technologies:
● Wearables (Apple Watch, FitBit, Oura
Ring) that collect health data
● Period Cycle tracking apps (Natural
Cycles, Flo)
● Virtual doctor/ patient visits
Labor Requirements:
● 50 hours from a iOS developer to
build the MVP
● 40 hours for bug fixes/ testing
● 30 hours for maintenance during
beta release

166. Financial Feasibility
Short Term Cost Considerations (12 months)
● Our major costs will include: data storage in AWS & marketing/CAC
Long Term Considerations
● For the first four years, partnerships will be our single revenue source
● Once we have a large user base, we will monetize through sales of data to research
institutions, hospitals, and pharma companies
● In addition, we will offer a premium version of our product
Potential Funding Sources (Next 12 Months)
● 100K Launch
● F6S Fellowship for female founders
● MIT Media Lab
● Sandbox

167. Care365
MAS.664
AI4Impact DEMO DAY

168. AI powered Type2 Diabetes reversal program

169. Diabetes: 1bn+ problem worldwide
Daily routine Systemic Global

170. Our solution: Type-2 Diabetes can be
Reversed

171. Our solution: Type-2 Diabetes can be
Reversed

172. How we are targeting a TAM $362bn
market?
● Average Expenditure for Payer on
Diabetic patient Per Patient : 9800
● Revenue share with CARE365: 30%
● Number of Patients: 0.5M
● Total Revenue: 1.5B

173. Competitive landscape
Competition Map Diabetes Reversal Gamification
Precision
Nutrition
Lifestyle
Changes
Comprehensive
IOTs
CARE365 ✅ ✅ ✅ ✅ ✅
Traditional
Diabetes
Management
❌ ❌ ❌ ✅ ❌
❌ ❌ ❌ ✅ ✅
New Age
Companies
❌ ❌ ✅ ❌ ❌
✅ ❌ ✅ ❌ ❌

174. Roadmap and milestones
Achieved:
● Precise Nutrition Database of 30K Foods
● Prototype and Protocol for CARE365
Diabetes Reversal Program
● Completed Prospective Clinical Trial
● AI Precision Nutrition Data Models
● MIT100K Accelerate Winner
2021
2022
2024
2026
2030
● MVP and Completion of Random
Control Clinical Trial
● Raise Funds and Commercial
Launch
Create World’s largest Database by
treating 40K Patients
Treat 0.5M Patients
Treat 6.4M Patients
Globally

175. Gonzalo Brahm
MIT Sloan Fellows MBA ‘22
Business development and
go-to-market strategy
Harsha Vardhini
MIT Sloan Fellows MBA ‘22
Product, Cloud Infrastructure,ERP, Supply
Chain and Global Operations
Sebastian Barriga
MIT Sloan Fellows MBA ‘22
Financial Strategy,Angel Investor, Carlyle Group
Keta Vashakidze
Harvard Advanced Leadership Fellow
Strategy, Policy,Advisor
Eric Zhang
MIT Sloan Fellows MBA ‘22
Product , Edge Computing and Engineering
Architect
Koushik Gattu
MIT EMBA ‘23
Product, Technology, Scrum, Architecture
Qiyang Li
MIT Sloan MBA ‘22
Business development, Technology and
Healthcare Services
Vishnu Vardhan
MIT Sloan Fellows MBA ‘19
External Mentor: Clinical and Business
Advisor
Team: Well Rounded Skills

176. Join us on our Mission!
Let’s Gain Victory over Diabetes

178. US Market

179. More Class Info @
https://aiforimpact.github.io/

180. # Team Name # Team Name
1 Carboncy 8 Cru
2 Glimpse 9 Kaari
3 Moss 10 System Two Cyber
4 SkillVerse 11 Alaif
5 Corn 12 Loona
6 Product DAO 13 Care365
7 OwnIt
AI4Impact Demo Day Presentation Schedule

181. Venture Showcase
Now-1:00pm
Meet AI4Impact teams
along with 4 external teams
MAS.664 https://aiforimpact.github.io
AI4Impact DEMO DAY

182. See you next Semester!
MAS.664
AI4Impact DEMO DAY
AI4Impact
Website
https://aiforimpact.github.io

183. MAS.664 https://aiforimpact.github.io
AI4Impact DEMO DAY
🎉 $1000 🎉
OwnIt
Cru
System Two Cyber
Carboncy
Product DAO
Care365
🎉 $700 🎉
Alaif
Glimpse
Loona
🎉 $300 🎉
Moss
Corn
Kaari
SkillVerse