Jaco Els
 Ryan Topping
Renjith Nair
THE FOUNDERS
Jaco Els – CEO

•  Big Data Architect -> Bachelor's degree in Information Technology. 
•  Extensive experience in delivering greenfield data engineering projects. 
•  Has spent the last decade working with industry leading companies including Wal-
Mart, Dell, Credit Suisse, Electronic Arts, and King. 

Ryan Topping – Chief Scientist

•  Data Scientist -> first class degree in mathematics from University College London
& a PhD in Bioinformatics from Imperial College London.
•  Has extensive experience using machine learning and analytics to understand and
predict customer behaviour.

Renjith Nair - CTO

•  Software Architect - > Masters degree in Network Centred Computing
•  Specialises in creating highly scalable data engineering solutions. 
•  Over a decade of experience working for companies ranging from Online Gaming,
Telecom Research and Media. 
•  At King Digital, developed scalable systems able to process 500,000 requests per
second with a SLA window of 80-100 milliseconds. 



THE FOUNDERS
2013
Q2
2014
Q1
2015
Q2
2015
Q2
2015
We met while working together at
King in 2013. With the massive
success of Candy Crush Saga, we
had the opportunity of working on
exciting industry leading projects. 
We realised that we had a unique
opportunity to leverage our
experience to bring our own
predictive analytics solution to the
market. This is where the idea for
Cubitic was born and soon we
started building the initial
prototypes of the platform.
We quit our day
jobs to work on
the Cubitic
platform full time.
Our first pilot project with one of the
largest mobile marketing automation
platforms yields very positive results. We
sign partnership deal for their 80 million
Monthly Active Users. 

Mature sales pipeline > 1 billion devices.

Launched our first
behavioural prediction
algorithms for mobile
applications
OUR STORY
THE OPPORTUNITY
Good traction in mobile sector, but unlikely to be our big exit opportunity. 

Large opportunity in Internet of Things (IoT). Many platforms that offer data
collection, complex event processing and device management services… BUT… 


Nobody has been able to crack commoditised analytics solutions in the same
way that mobile analytics companies have.


Why not? 


IoT companies only have 2 choices:
Build your own: 

expensive, high cost of
ownership, delayed time to
market, high risk of failure.
If you can find one, 
buy off the shelf solution: 

limited flexibility, only fulfils
subset of your requirements
No standard industry KPIs. IoT applications tend to be
very niche, have vertical & use case specific requirements.
The Cubitic Platform provides IoT developers with all the building blocks they need to
build real time analytics solutions in days, not months. 

Flexibility of a custom developed solution, without the long expensive development
cycles!
Machine Learning API
Data Analysis API
Data Visualisation API
CUBITIC IO PLATFORM
Send any sensor
data to our real
time Ingestion API
Time series optimised storage
OUR SOLUTION
Volume based Software as a Service (SaaS) model
•  Free tier
•  Premium Machine Learning Services


Optional Starter pack(s)
•  Consultancy
•  Data modeling advice
BUSINESS MODEL
Global IoT market expected to grow to $947 billion by 2019,
growing at a compound annual growth rate (CAGR) of 29.9%
(Source: MarketsandMarkets, November 2014,
http://bit.ly/1yLmxnO)

Adoption of technology to continuously analyze streams of
events will accelerate in 2015 as it is applied to Internet of Things
(IoT) analytics, which is expected to grow at a five-year CAGR of
30%.
(Source: International Data Corporation, Dec 2014,
http://bit.ly/1ArFxEB )

MARKET OPPORTUNITY
Open sourced dashboard templates
•  Create a set of templates to enable developers to quickly
create customised dashboard.


Open sourced SDKs for data ingestion
•  Create SDKs for a wide range of programming languages.
Platform integrations
•  Hardware Manufacturers
•  IoT platforms
PRODUCT ROADMAP
Keen.io
•  Similar platform, but they are more focussed on mobile
analytics
Mnubo.com
•  IoT focussed analytics platform. They provide industry
focussed solutions.
MediumOne.com
•  IoT analytics platform. They provide predictive analytics and
workflow managements tools.
COMPETITION
TRACTION
•  Cloud infrastructure
•  Sales & Marketing
•  Legal

We looking for an investment of £500,000
INVESTMENT
How we plan to spend it

•  Salaries
•  New hires
•  Office space
ANY QUESTIONS
Thank you for your time!

jaco.els@cubitic.io

Cubitic: Predictive Analytics

  • 2.
    Jaco Els RyanTopping Renjith Nair THE FOUNDERS
  • 3.
    Jaco Els –CEO •  Big Data Architect -> Bachelor's degree in Information Technology. •  Extensive experience in delivering greenfield data engineering projects. •  Has spent the last decade working with industry leading companies including Wal- Mart, Dell, Credit Suisse, Electronic Arts, and King. Ryan Topping – Chief Scientist •  Data Scientist -> first class degree in mathematics from University College London & a PhD in Bioinformatics from Imperial College London. •  Has extensive experience using machine learning and analytics to understand and predict customer behaviour. Renjith Nair - CTO •  Software Architect - > Masters degree in Network Centred Computing •  Specialises in creating highly scalable data engineering solutions. •  Over a decade of experience working for companies ranging from Online Gaming, Telecom Research and Media. •  At King Digital, developed scalable systems able to process 500,000 requests per second with a SLA window of 80-100 milliseconds. THE FOUNDERS
  • 4.
    2013 Q2 2014 Q1 2015 Q2 2015 Q2 2015 We met whileworking together at King in 2013. With the massive success of Candy Crush Saga, we had the opportunity of working on exciting industry leading projects. We realised that we had a unique opportunity to leverage our experience to bring our own predictive analytics solution to the market. This is where the idea for Cubitic was born and soon we started building the initial prototypes of the platform. We quit our day jobs to work on the Cubitic platform full time. Our first pilot project with one of the largest mobile marketing automation platforms yields very positive results. We sign partnership deal for their 80 million Monthly Active Users. Mature sales pipeline > 1 billion devices. Launched our first behavioural prediction algorithms for mobile applications OUR STORY
  • 5.
    THE OPPORTUNITY Good tractionin mobile sector, but unlikely to be our big exit opportunity. Large opportunity in Internet of Things (IoT). Many platforms that offer data collection, complex event processing and device management services… BUT… Nobody has been able to crack commoditised analytics solutions in the same way that mobile analytics companies have. Why not? IoT companies only have 2 choices: Build your own: expensive, high cost of ownership, delayed time to market, high risk of failure. If you can find one, buy off the shelf solution: limited flexibility, only fulfils subset of your requirements No standard industry KPIs. IoT applications tend to be very niche, have vertical & use case specific requirements.
  • 6.
    The Cubitic Platformprovides IoT developers with all the building blocks they need to build real time analytics solutions in days, not months. Flexibility of a custom developed solution, without the long expensive development cycles! Machine Learning API Data Analysis API Data Visualisation API CUBITIC IO PLATFORM Send any sensor data to our real time Ingestion API Time series optimised storage OUR SOLUTION
  • 7.
    Volume based Softwareas a Service (SaaS) model •  Free tier •  Premium Machine Learning Services Optional Starter pack(s) •  Consultancy •  Data modeling advice BUSINESS MODEL
  • 8.
    Global IoT marketexpected to grow to $947 billion by 2019, growing at a compound annual growth rate (CAGR) of 29.9% (Source: MarketsandMarkets, November 2014, http://bit.ly/1yLmxnO) Adoption of technology to continuously analyze streams of events will accelerate in 2015 as it is applied to Internet of Things (IoT) analytics, which is expected to grow at a five-year CAGR of 30%. (Source: International Data Corporation, Dec 2014, http://bit.ly/1ArFxEB ) MARKET OPPORTUNITY
  • 9.
    Open sourced dashboardtemplates •  Create a set of templates to enable developers to quickly create customised dashboard. Open sourced SDKs for data ingestion •  Create SDKs for a wide range of programming languages. Platform integrations •  Hardware Manufacturers •  IoT platforms PRODUCT ROADMAP
  • 10.
    Keen.io •  Similar platform,but they are more focussed on mobile analytics Mnubo.com •  IoT focussed analytics platform. They provide industry focussed solutions. MediumOne.com •  IoT analytics platform. They provide predictive analytics and workflow managements tools. COMPETITION
  • 11.
  • 12.
    •  Cloud infrastructure • Sales & Marketing •  Legal We looking for an investment of £500,000 INVESTMENT How we plan to spend it •  Salaries •  New hires •  Office space
  • 13.