zenlike investor deck

David QuailCo-Founder, Zenlike

[email protected]

Thursday, August 8, 13

mailto:[email protected]


the problem: An increasing number of repetitive and mundane tasks. Technology

often adds rather than assists. We want people to live more simply.

Photo: The Office (NBC)


“Tomorrow’s secretary will

be an algorithm + a commoditized

human workforce + services.

And it will automate these

mundane tasks ...”

“Help” “Here’s how we can help ...”

Artificial Intelligence and Machine Learning

Human intelligence

Online Services


Artificial intelligence. Machine learning and natural language processing are at a stage where they can be leveraged to provide solutions to these problems.

Commoditized workforce / Crowd computing. Human intelligence has become cheap with services like Mechanical Turk. While others like oDesk have made services and labor more accessible.

Mobile phones which provide immediacy.A truly delightful solution to providing this assistance requires immediacy. Mobile phones provide this.

how it worksZenlike provides deep vertical solutions to problems including those that administrative assistants are already being paid to do. There are 3 core technologies making this possible today.


Zenlike will provide assistance for a wide array of mundane and repetitive

tasks using AI + crowd computing.

But unlike others that focus on broad, low value tasks, our first step is to

build a delightful product that goes deep in solving one very high value task - coordinating meetings - in a

seamless way.

With that, we’ll leverage the technology, user base, and marketing

to automate other high value tasks seamlessly within existing workflows -

namely email.

becoming tomorrows secretary


the first pain point to automateI coordinated a lot of one on one meetings in 2012 during and after selling my last startup to Yousendit. The process was always repetitive, and mundane.

Initiation Calendar Creation

“Wanna get together next

week?”

“How’s Thursday?”

Research locations address + participants

on Linkedin, Twitter etc.

“Send me your phone # just in case”

“Nope. Friday?”

“Sure. 3PM”

Renegotiation

“Uh oh. Friday doesn’t work

anymore. How bout Monday”

Reminders & DataCoordination

“Blue Bottle Coffee?”


I tried to find a solution ...

• Way too much friction.

• Everyone has to change behavior.

• Incremental value.

• After training my human assistant, Zirtual was an elegant solution that fit beautifully into everyones existing workflow.

• But it’s expensive for just meeting coordination

#FAIL #WIN

* Human powered assistant for $200/month


“Holy CROW”

is born

We could use artificial intelligence and crowd computing to create an even more delightful

experience of using Zirtual for meeting coordination ... AND other mundane, repetitive tasks!!!

We could be the best assistant.


enter product 1: meeting coordination• Coordinating manually is time

consuming: ~20 minutes for each meeting (emails back and forth + creating the meeting invite).

• This is hard while on a computer and impossible while on a mobile device.

• It’s not just “saving time.” Rarely do meeting invites include details about participants, or location. They should.

• Existing solutions force everyone to change your workflow, or are expensive. But an Executive assistant solution works beautifully once trained.


1. Add [email protected] to email thread where consensus has been formed to meet.

2. Email is parsed by Zenlike and an invite is sent out including dossier information about participants.

* W

orks

from

any

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ail c

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obile

.

demo V1.0: using Zenlike to create a meeting invite from an existing thread




1. Email [email protected] asking to help set the meeting up.

2. Zenlike responds to everyone with available times suggested. A meeting can be booked within this email by selecting the time that works.

* W

orks

from

any

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ail c

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incl

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.

demo V1.1: using Zenlike to coordinate a meeting from within email.




Zenlike in 16+ months: Zenlike provides smart assistance in the context where you need it most. After 16 months we’ll be going deep in meetings, broad in tasks, or specific to a functional area depending on what resonates most.


2010 2012 2013 2014

Dec 2010Sold Attassa to Yousendit

Mar 2012Left Yousendit

Feb 2013Founded Zenlike

May 2013Automate meeting invites (v1.0)

Aug 2013Automate meeting time / place coordination (v1.1)

2014 Q1“Smarter” meetings and Assistance for other tasks within email flows.

timeline

2014 Q3 & Q4Continued iteration on product and monetization with additional focus on growth engineering.

2013 Q4Chrome extension. (distribution channel for proactive assistance and other tasks)

2015+ IFTTT for the enterprise. *post seed

2015


affo

rdab

leexpensive

high friction

low friction

Salaried Executive Assistant

“delight”

Zenlike provides the full value of an admin assistant to everyone in a simple and affordable way.

competition


teamDavid Quail• Product. Mobile developer, marketing

• Co-Founder @ Attassa (Productivity solutions for the knowledge worker). Acquired by Yousendit

• Mobile Product lead @ Zumodrive. Acquired by Motorola/Google

Tim Fletcher• Product, web developer, UI, UX

• Cofounder @ Monogr.am


Source: http://www.bls.gov/oes/current/oes436011.htm

market

0 7500 15000 22500 30000

Fortune 500

SMB

Startups

Meeting CoordinationOther Admin tasks

We’re starting by solving meeting coordination and targeting startups to validate our product / revenue models. Once we do that we’ll scale vertically. Then horizontally.

Bottom up analysis• 900K US Startups = 240M external

1:1 meetings per year.

• Extracting $0.10 per meeting = $24M per year for US Startups

Top down analysis• 803K Executive/Admin Assistants

X ~$50K / year = $40B

• We’re not replacing EA’s but it’s an easy way to size how much people already pay for full administrative assistance.

(Millions)


http://www.bls.gov/oes/current/oes436011.htm

http://www.bls.gov/oes/current/oes436011.htm

what we’re looking for

$1M seed round (18 months) for ...• Iterating product & monetization: 7% weekly growth.

Prove customer acquisition cost << LTV.

• Technology & Data acquisition: The more data we have, the better our algorithms get. We’re funding data collection to be in a position so we can easily leverage our technology.

• Growing headcount: 4 engineers (including us), 2 AI Engineers, 1 marketing / community manager

• Overhead: (office space, travel, marketing)
