There is a large opportunity to reinvent industries using data

2. There is a large opportunity to reinvent industries using data Costs have come down… …Resulting in significant data and revenue growth Projected annual “big data” growth is 37% through 2017 1990: $10 2000: $1 2010: $0.10 Source: Wikibon

3. Significant venture capital dollars have been invested in “big data” in recent years >30% annual growth in deal volume and investment size from 2008-2012 Source: Orrick

4. Much of data analytics today is focused on serving incumbents

5. Opportunity to rebuild approach to serving customers from the ground up Feedback loops with data are a powerful mechanism for product improvement New business models use data to provide a higher level of service to customers

6. Companies must be reinvented from the ground up to fully leverage the potential of data Incumbent model New model Gaming • Studio model with large sunk development cost with limited pre-launch testing Taxi • Dispatch systems expensive dedicated equipment, no driver or passenger feedback • Very manual process with limited optimization or use of data Venture Capital Starting with a clean slate can lead to radically new models, products, and services, and startups are best poised to do this

7. Early stage investors look for data opportunities with specific criteria • Large, valuable markets that haven’t innovated… yet • Capital requirements in line with market opportunity • Opportunity to transform status quo with data • Cost savings, personalization, or a better customer experience • Teamthat blendsindustry skills and a strong engineering mindset • Product development emphasizing rapid iteration and optimization of product and processes; lean startup approach • Sustainable competitive advantage • Networks effects, proprietary data, high switching costs, etc.

8. Many industries are being transformed Finance Media Security & gov’t Health Education Travel & transport Retail Other Data analytics Data infrastructure

9. Case studies SignalFire ClassDojo Metromile 1 2 3

10. Entrepreneurs have lower Capex requirements and more funding options than ever before… Large VC Midsize VC MicroVC Crowdfund Incubator … VCs must be more proactive

11. Low barriers have increased the noise; now it’s possible to process signal Digital Channels Organized Channels Unstructured Channels Data integration, cleansing, and structuring Filtering FILTERING FEEDBACK LOOPS w/ MACHINE LEARNING Feedback loop from team, fundings, and company performance Machine learning Investment team

12. Platform informs seed-stage investments with full information and low cost structure Large investments Boutique VCs Full resource VCs Sweet spot for early stage investor / startup alignment Incubator program Small investments

13. SignalFire is reinventing venture capital with a new business model, new architecture, and data analytics • Competitive advisory and VC firm built on top of a data analytics platform • Rethought venture business from the ground up using large amounts of data • Tracking key company characteristics based on venture capital best practices • Machine learning algorithms process and highlight emerging opportunities • Building a networked partnership structure with feedback loops • Platform will help identify opportunities for investment, partnership, and acquisition, and provide general competitive intelligence

14. ClassDojo: Behavior management software for the classroom Customer pain point • Teachers spend significant time in the classroom focused on student behavioral issues, which detracts from teaching • Existing process of logging behavioral issues is time-consuming and memory-based • Parents only receive feedback from teachers ~2 times per year, so feedback between the classroom and the home is discontinuous ClassDojo data solution • Smartphone app that enables teachers to immediately reward good behaviorand call out bad behavior • The teacher can track students over time • Gives parents real-time feedback on how their kids are doing behaviorally, tightening the feedback loop Competitive advantage • Incumbent players in education are slow to innovate and execute • Have established first mover advantage with 17M teachers and students in 120 countries • Ability to scale virally since it is curriculum agnostic (applicable across countries)

15. MetroMile: Pay-as-you go car insurance Customer pain point • Drivers that drive less pay disproportionately higher rates • Car insurance companies do not take distance driven into consideration when setting premiums, though accidents occur less often with infrequent drivers • Targeted car insurance product for those who drive less than 10,000 miles per year • Product plugs into existing car diagnostic ports (OBD-II) and collects data on key vehicle usage metrics • Pricing is in line with distance driven • Opportunity to add unique services based on data insights MetroMile data solution Competitive advantage • Incumbent insurance companies run the risk of cannibalization; lower premiums for infrequent drivers would increase premiums for frequent drivers and customer churn • MetroMile is focused on disrupting car insurance through innovation and has an engineering culture; incumbents lack engineering culture and tend to outsource • Rapidscalability even in highly regulated markets through strategic partnerships; will be available to 40% of the US within 6 months

16. As VCs, we are excited about opportunities both in data analytics as well as vertical solutions with data at their core Finance Media Security & gov’t Health Education Travel & transport Retail Other What’s the next industry to be transformed by data? Data analytics Data infrastructure