BeaconOnBoard pitch deck - September
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Transcript of BeaconOnBoard pitch deck - September
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