Cubitic: Predictive Analytics
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The document introduces Cubitic, a startup providing a predictive analytics platform for IoT applications. It summarizes the founders' backgrounds and experience. Jaco Els is the CEO with a degree in IT and experience at major companies. Ryan Topping is the Chief Scientist with degrees in mathematics and bioinformatics. Renjith Nair is the CTO with a master's degree in networking and experience developing scalable systems. The founders met working at King and saw an opportunity to build their own predictive analytics solution for IoT, launching initial prototypes in 2015.
Cubitic: Predictive Analytics
- 2. Jaco Els Ryan Topping 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 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
- 5. 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.
- 6. 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
- 7. Volume based Software as a Service (SaaS) model • Free tier • Premium Machine Learning Services Optional Starter pack(s) • Consultancy • Data modeling advice BUSINESS MODEL
- 8. 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
- 9. 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
- 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. TRACTION
- 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. ANY QUESTIONS Thank you for your time! jaco.els@cubitic.io