shuhan he md candidate | henry he phd 29 september, 2014 | 847. 571.1568 scientific automation +...

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Shuhan He MD Candidate | Henry He PhD 29 September, 2014 www.MazeEngineers.com | 847. 571.1568 SCIENTIFIC AUTOMATION + DIGITAL LAB NOTEBOOK

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Shuhan He MD Candidate | Henry He PhD

29 September, 2014

www.MazeEngineers.com | 847. 571.1568

SCIENTIFIC AUTOMATION + DIGITAL LAB NOTEBOOK

Problem• Problem 1: Mouse

behavior experiments are required for all pharma, military, and academic neuroscience experiments.

• Problem 2: This data is difficult to collect, manage, organize, and publish.

Data Collection

Data collection,

synthesis and publication

Solution

Data Collection

Automated Behavioral

Mazes

Data collection,

synthesis and publication

MazeOriginsData

management SaaS

The Products

Technology• Animal Detection: IR detection and transmission• Maze modulation: Software can control maze hardware (doors, feeders)• Data collection: High out put collection via RF• Data analysis: Statistical analysis of data sets• Data sharing and collaboration: Data sharable between researchers• Privacy: Encrypted Data sent over Wi-Fi or 4G

Non automated Mazes Automated Mazes Data management

• Current Revenue driver• Niche market product• Mandatory use =widespread adoptation

• Replaces paper lab books

• Broad market product

Easy PublicationStatistical analysis

Lab management &

Marketplace creation

Easy data management

•Automation

MazeOrigins

Current Customers Expanding market Future Market

All scientists (MazeOrigins)

Selling points Advertisement Government bids

• Social media/advertising

• Direct to lab selling• Paper methods

section publication• Assist researcher

manuscript writing

• FBO.gov bids• American

Neuroscience SFN conference

• European Neuroscience (FENS/NENS)

• Asian APSN

• Easy Data collection• Increased

publication rate• Easy convenient UI• Allows collaboration

between international neuroscience

Pharma/military

Management Team• Shuhan He: MD Candidate at Keck School of Medicine

– Clinical Translational Research Fellow at Zilkha Neurogenetic institute

– Reviewer for Journals of Neuropathology and Applied Neurobiology and the Journal BMC Neuroscience

– Youngest Participant in 2010 Gobi March, a 250km race ranked by TIME magazine the most difficult footrace in the world.

• Henry He Director, Fixed Income IT, Global Asset Management, UBS Bank, Chicago, IL– MS in Computer Science University of Illinois at Urbana-

Champaign– Ph.D. in Economics Southern Illinois University at Carbondale– MS in Mathematics Xiamen University, China– Main platforms and tools are C#, WCF, XML, DevExpress WPF,

MVVM, Syncfusion, MSSQL, TIBCO and agile Rally.

Value to User

Traditional Lab Equipment)(Fisher Scientific/homemade)

Data Management Software(Quartzy, LabGuru)

-Press and go experiments-Intuitive interface to managedata collected

Costs

Benefits

Ease of use

-Export data to excel-No management of software-No modulation of hardware-Protocols difficult to set up

-Manual Entry of data

-Free software for data management to publication-Purchase automated mazes

-Saves money-Saves time-Automatic data collection-Easy publication of data-Accessible across world for collaboration

-Equipment only collects simple data-Labor intensive-No data management-No data sharing, collaboration

-Expensive subscription fees

Familiar brands -Saves time and money-Improvement from paper

Financial Model and Projections

*Mazeengineers products are Tax exempt

2015 2016 2017 2018 2019

Total revenue 2,076,000

3,114,000

3,892,500

4,865,625 6,082,031

Cost of Good and Labor 1,038,000

1,557,000

1,946,250

2,432,813 3,041,016

Cost of Software 600,000 400,000

250,000

250,000 250,000

Total Cost 1,638,000

1,957,000

2,196,250

2,682,813 3,291,016

Net Operating Income 438,000

1,157,000

1,696,250

2,182,813 2,791,016

EBITDA

0.21

0.37

0.44 0.45 0.46

EBIT

0.11

0.31

0.38 0.41 0.43

Yearly Sales growth 50% 25% 25% 25%

2015 Sales2015 Sales Price Quantity Sales

Y-maze 2500 50 $ 125,000

T-maze 2500 50 $ 125,000

8 arm maze 3500 12 $

42,000

Elevated cross maze 2500 12 $

30,000

Elevated plus maze 2500 12 $

30,000

Barnes maze 2500 12 $

30,000

Noval object recognition box 2500 12 $

30,000

Automated Y-maze 8000 20 $ 160,000

Automated T-maze 10000 20 $ 200,000

Automated 8 arm maze 16000 12 $ 192,000

Lab software 1200 1000 $

1,200,000

Software secondary market 30 10000 $ 300,000

Total Revenue $

2,464,000

Costs

2015 2016 2017 2018 2019

Total revenue 2,076,000

3,114,000

3,892,500

4,865,625 6,082,031

Cost of Good and Labor 1,038,000

1,557,000

1,946,250

2,432,813 3,041,016 Cost of Software (AWS

distribution + development) 600,000 400,000

250,000

250,000 250,000

Total Cost 1,638,000

1,957,000

2,196,250

2,682,813 3,291,016

Net Operating Income 438,000

1,157,000

1,696,250

2,182,813 2,791,016

EBITDA

0.21

0.37

0.44 0.45 0.46

EBIT

0.11

0.31

0.38 0.41 0.43

Yearly Sales growth 50% 25% 25% 25%

Why Invest now

Seed Series A (proposed)$0.00 $1.00 $2.00 $3.00 $4.00 $5.00

Mil

• 6 automated mazes: March 2015• MazeOrigins Software platform: Functioning by March 2015 to integrate

with 6 automated mazes with cloud distribution. • Distribution and sales of Mazeorigins + automated mazes in Asia and

Europe• Begin International manufacturing and sales on non automated mazes.

Goal: Australia, Asia, Europe presence by March 2015

International salesmanufacturing and distribution

Non Automated Mazes: -7 sold-7 Not fulfilled due to lack of capacity

2016 2015 2014 2013

Automated Mazes: 3 sold to academic customers

Mazeorigins: transfer from 2 standalone applicaions to SaaS. 20K code written

-IR detection/RF transmission, currently developing 6 mazes with 3 engineer team

Development and teesting of MazeOrigins

International salesmanufacturing and distribution

Start: March 2015

Distribution to 7 previous clients, new clients

Exit strategies• Multiple buyers possiblecompetitive bidding• Valuable user base with recurrent immediate revenue stream • Clear fit into product portfolios

Large companies in software space

Large companies in hardware space