Beacon on Board

A smart device designed to prevent hot car tragedieshttp://beacononboard.weebly.com

● A car outside heats up quickly and on a sunny day it can become hotter than 120F/50C. This can lead to sudden death of infants, toddlers (37 on average in the US each year)

● Although no parent ever thinks it will happen to them, 72% of parents consider buying a device for their peace of mind

● Smart car seats and proximity sensor key fobs have not reduced the number of hot car deaths, perhaps because of an average price of $400 (car seat)

● Newer cars have motion detection built in (e.g., 2017 GMC Acadia, BMW), but with an average age of 11.5 years most cars in use today do not have this feature

Parents want peace of mind… … and newer solutions do not eliminate the issue

Source: User research (n=11), IHS, Amazon

each year on average in the US,

38 CHILDREN die inside hot cars

● Small device is simply left in the car

● Temperature and two motion sensors create an alert

○ Picture of car interior, temperature and elapsed time are transmitted to subscribers’ phones via the cloud

○ Subscriber can alert people near the car

● Easy to use because there is no need to pair a phone or key fob to it. Simply provide contact numbers for the SMS text notification.

● Does not depend on the child being in a car seat

● Allows you to see your car interior remotely

The product Unique features

Beacon on Board is a low cost, easy to install device that can avoid tragedy

The underlying magic is Detecting temperature and motionInside car and sending an alert to subscribers’ phones

A subscriber can then view a picture from the car along with current interior temperature and elapsed time since detection

Our business model focuses on direct (online) sales and relevant partnerships

Partners

$79

80%

$89

20%

$59

Hardware & logistics

Software

Marketing

Customer service

Overhead

Margin

$15

$10

$7.5

$15

$15

$12.5

17%

BoB

Source: team assumptions

As part of a much larger market we expect to capture 200k in the first two years

Family household cars (76m family hh, 1.95 cars per hh)

Vehicles of households with children under 12 (24m * 1.95)

Addressable market high: car owners considering buying a BoB (70% would consider paying at least something)

Addressable market low: car owners considering buying a BoB (15% is worried about leaving their kid unintentionally, equally 15% looked for a device like this)

Market share long-term: car owners considering buying a BoB we can capture (30% of addressable market)

Market share short-term: car owners considering buying a BoB we can capture in first two years (10% of market share long-term)

200k2M

6.7m

31m44m47m

148m Cars that do not have a monitor (prudent assumption 95%)

US only, prudent estimates

Source: US Census Bureau, 2011; Sivak, 2011; consumer survey (n=11)

BoB aims to outperform competitors currently available

Affordability

Reliable technology

Portable

Ease of use

Multiple alerts

Rechargeable

IALERT C685BoB

Nabi Intel clip Childminder

BoB

Janet PrumachukMS candidate in Data Science, former Goldman Sachs technology VP. Passionate about using technology and data science for good

Jasperina de VriesMcKinsey consultant, MBA candidate. Native business & IT crossroads navigator

Sheng QianMS candidate in Computer Science, Machine Learning track

Vaibhav SinghMBA candidate,Lead Design Engineer at Cadence Design Systems

Meng LiMBA candidate,Product engineer at Siemens

We each have a true passion for our product, and bring complementary skill sets to the table

Back-up

Early 2018, we aim to have established a sustainable business

Revenues (device sales and MRR), $k

Customer base net of churn, #k

Website traffic, #m

Partnerships, #

89

1.10.4

2

5587.42.28

1,95128.27.720

2,57851.39.620

Q1 2017 Q2 2017 Q3 2017 Q4 2017

Financing injected (low-high), $m

0.4 2 0-

2 2

3,75782.813.730

4,925120.917.640

Q1 2018 Q2 2018

0-1 -

By early 2017, we expect to ship our product● Evaluating viability based on

feedback

● Testing and collecting data to improve detection model

● Conducted user research

● Built prototype

● Created business plan

Current status (as per Sept 2016) Accomplishments

● Summer 2016: build prototype

● Fall 2016: present MVP

● Spring 2017: improve and scale

● Convert prototype to production device

● Refine setup tool and data pipeline

● Promote the product

Timeline Use of funds