Slyce Deck

Your personal food concierge

RE-INVENT THE MUNDANE

Unloved, unnoticed things in our everyday lives hold potential for significant innovation

RE-INVENT THE MUNDANE

Restaurant menu:Mundane and unchanged

Inspired by the Nest thermostat, 2 years ago I started to think about re-inventing menus. Menu is an everyday tool that hasn't changed in 100 years, and is rather ineffective! 9 out of 10 people need help with their menu: asking waiters "what's popular?", looking to other tables or looking up pictures on Yelp to see what dishes look like, ... Over the past 2 years, this evolved into a bigger question....

PROBLEM

What should I eat next?

This is mankind's oldest question

DECISION FATIGUE

Budget

Culinary preferences

3 times per day

Cost constraints, frequency of eating out, ...

Taste palete, desire for variety (avoiding repeat of recent meals), ...

Nutritional & medical

Time & effort

Allergies, diet, health & fitness goals, ...

Availability, ease of access, logistical considerations ...

UNHEALTHY FOOD CHOICES

SOLUTION

A hyper-personalized* menu that's with you all the time

Slyce aggregates all nearby available menus, combined with nutritional data and user personal information, to curate and recommend healthy & delightful meal choices

* Hyper-personalization offers awareness of user context (e.g., recent activities, time of day, weather, recent meals, etc.)

BENEFITS

● Find best local dishes, tailored to you

● Don't order a dish you'll regret

● Consider health & nutritional info

● See what dishes look like

● Don't forget your favorites

PROTOTYPE

Decide your next meal

Personalized food recommendation (Slyce)

Restaurant recommenation (Yelp)

PROTOTYPE

Decide your order

Personalized menu

Typical menu

EVOLUTION OF CONSUMER HABIT

Analog

Personal

Digital

Day-to-day experiences are getting personalized (e.g., Music, news, shopping, video, ...)It's time to change how we make the most important daily decision: "What should I eat next?"

LEARN MORE

Our story (start over)

How it works

Why now

The team

Competition & defensibility

Business plan & operations

Fundraising

HOW IT WORKS

Local Data

User Data

Foursquare API, Google Places, etc.

A taste profile based on user data & behavior

e.g. searches, check-ins, wearable...

Food Photos

Menu Data

Novel algorithms used tomatch photos to menu items

Restaurant menus available via API's (e.g., SinglePlatform)

WHY NOW

Personalization & AI

Data

Access

Multiple competing platforms have aggregated similar data and opened access via API's

Necessary data exists now:

Daily consumer activities are increasingly personalized:

• Local & ratings
• Digitized menus
• High quality photos

Music/video streaming

Social/news feeds

(20% of Instagram is food)

Shopping

Food

TEAM

• Pear VC – EIR
• Neurio – Cofounder, CTO, Product/UX. Consumer App NPS: +50
• UBC – Ph.D. in Robotics & Vision Algorithms
• NSERC Graham Bell Scholar
• 6 pending algorithm patents

Ali Kashani, Ph.D.Product, Data Science

Soroush NorouziFull-stack Engineer, Hacker

• Neurio – Software Engineer
• Simon Fraser Univ. – M.Sc. in Mechatronics
• University of Tehran – B.Sc. in Engineering

• D-Wave – Algorithmic Software Eng
• Neurio – Data Scientist & Backend Eng
• Simon Fraser University – M.Sc. in CS
• University of Toronto – B.Sc. in CS & Math

Oren ShklarskyMachine Learning, Backend

ADVISORS

Touraj ParangSMB, Strategy

Ario JafarzadehConsumer, UX

Noosheen HashemiFood & Health, Ops

• Board Member – Atheer (AR), Radius (data analytics), UpCounsel (marketplace), ...
• VP Sales & Mkt – Oracle
• Stanford GSB

• P Corp Dev – GoDaddy
• Operating Partner – Pear
• Serial Entrepreneur – Jaxtr (consumer VoIP), UpCounsel (marketplace), Webs (SMB)
• J.D., Law – Yale

• King – Global UX Director
• Amazon/Google/Microsoft – Sr UX Designer (Youtube, Chrome, Google+, Gmail, Kindle Fire)
• U. W. – MSc, Human Centered Design

Norberto Guimaraes Personalization, AI, Product

Ugur Kaner Consumer, UX

• Memebox – VP Product
• Eat Mentor – Co-founder
• SAP – UX Designer

• Google – Product Manager (Google Play & YouTube recommendations)
• Clever Sense – VP Product (Acquired by Google)
• U Berkeley HSB – MBA