FindStream investor deck
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FindStream is a music discovery engine that analyzes data from 25,000 global radio broadcasts to build perfect playlists and provide recommendations. It aims to solve the problem of finding new music to enjoy from the over 30 million tracks available by using the expert opinions of radio DJs rather than tags, genres or algorithms. The service monitors radio stations worldwide, analyzes songs and artist connections to deliver trending music and compile playlists around any song.
FindStream investor deck
- 1. FindStream Music discovery engine & perfect playlist builder
- 2. Problem 30 mln tracks available at almost any streaming service Impossible to listen everything, main thing - to find music you’ll be crazy about 2
- 3. Why music discovery is still a problem? 3
- 4. 1. Similarity: tags will do no good to your music experience 4 Hip-hop & rap singer Chris Martin has nothing in common with Coldplay. Except for a lead singer’s name.
- 5. 2. Genre: songs of one artist may belong to different genres 5 Coldplay’s “A Sky Full Of Stars” has nothing to do with Rock – to say nothing about Indie Rock.
- 6. 3. “New” content: novelty is the essence of discovery 6 Main page for today… for the last 2 months
- 8. Music is too subtle & ever-changing substance to treat it with tags or machine approach. Music discovery can’t be properly done without a careful touch of professional musicologists. FindStream gathers & analyses the opinion of 25 000 music professionals to deliver top- notch recommendation service. 8
- 9. Radio still rules 9 55% 38% 28% 25% 14% 12% 11% 6% Radio TV Word of mouth Movies Video services (Youtube) Facebook Streaming services (Spotify, Pandora) Artists' blogs and pages “Broadcast radio is the most popular audio platform. Top drivers for radio usage are its accessibility, timely news, traffic, weather, engagement with radio personalities and discovering new music.”* More than 55% Americans discover music via radio * MediaVest And Clear Channel Media and Entertainment National Study, January 2014
- 10. Each day radio DJs handpick the best in music to craft perfect playlists people want to hear. FindStream makes the best of it. 10
- 11. Who we are • Monitoring of 25 000 global radio broadcasts • Music content analysis (tracks/artists performance & connectivity) • Playlist curation based on artists & songs compatibility • Up-to-date global music trends Radio content-based discovery & recommendation engine 11
- 12. Our solution FindStream recommendation technology is based on analyzing the choice of thousands broadcasting professionals that allows to: ü Discover all facets of music world due to a variety of monitored sources ü Keep abreast of trending sounds & immediately spot potential hits way before they get to the top ü Compile playlists around any track due to a music connecting system 12
- 13. Connections & Compilations Song 1 Song 2 Song 3 Song 4 Song 5 Song 29 Song 34 Song 97 Song 100 We know how songs are connected inside myriads of professionally curated playlists, so we can find perfect companions to any song & compile a playlist around it. 13
- 14. Competitors Discovery feature of streaming platforms Discovery startups 14 “-” nonflexible recommendation mechanisms “-” much reliance on machine algorithms “-” limited recommendation resources (few experts & analyzed tracks)
- 15. Recent M&A 2013 Spotify – Tunigo Twitter – Wearehunted 2014 Spotify – EchoNest ($100mln) Rdio - Tastemakerx Google – Songza (rumors $15-39mln) Rhapsody – ExFM & SoundTracking 2015 Apple – Musicmetric (rumors 50mln USD) Guvera – Blinkbox music Large streaming platforms need competitive advantage to keep & increase customer base. Music discovery companies are the source of technological intelligence for them. 15
- 16. How streaming services know about music? Service Main source for music data Details Tastemakers, 8tracks User-generated content • Recommendations of nonprofessionals • Limited discovery sources Zvooq, Pandora, Songza Expert opinion • Limited number of experts • Delayed appearance of new music content Last.fm, Amazon, iTunes, Deezer Tags • Unlimited discovery process • Similarity & genre shortcomings Spotify (Echonest), Last.fm Audio analysis algorithms • Audio pattern similarity leads to annoying user experience FindStream Aggregated opinions of 25k radio DJs • Unlimited and flexible discovery process • Songs are rightly matched without annoying patterns • Dynamic experience based on daily trend changes 16
- 17. How it all works 17 FINDSTREAM ENGINE (custom playlist & radio builder) RADIO STATIONS PLAYER/DEVICE USER PROFILE (favorite songs, purchases etc) CONTENT (music platform – Deezer, Spotify, YouTube etc) MOBILE TV DESKTOP FEEDBACK (USER ACTIONS) DYNAMIC PLAYLIST
- 18. Our experts • Major terrestrial radio DJs • Independent Internet broadcasters • DJs by heart - amateur stations 18 Mainstream Variety of genres Rare items Motto: quality of music attracts audience
- 19. Technology The service is based on a system of an automatic search and analysis of live media streams on the web (including radio stations). The system automatically crawls the web, identifies and analyses live media streams on the pages. The system is capable of: ü Identifying live streams ü Identifying names of the artist and composition that is currently broadcasted ü Measuring number of streams and number of playbacks of each composition & its dynamics. 19
- 20. In a nutshell • 25 000 radio stations • 73 countries • 5+ mln tracks weekly • 1.5 mln artists weekly • Platform independent, already connected with Deezer, SoundCloud, YouTube, iTunes 20
- 21. Achievements May 2013 Start of FindStream service development Feb 2014 50+ global music market players expressed interest in music data analytics product (b2b) after its presentation at Midem conference May 2014 First long-term agreement on radio monitoring service Sep 2014 3 patents received (2 for PCT procedure), 25 000+ radio stations under constant monitoring Oct 2014 Ready to use recommendation engine connected with Deezer, Soudcloud, YouTube & iTunes Nov 2014 Negotiating integration with major streaming & media partners; regular supply of radio monitoring reports for music market players Feb 2014 Test integration with streaming platforms 21
- 22. Business Model 1. Music discovery & recommendation as a service (access to API/ advertisement) • Streaming platforms • Audio hardware providers 2. Monitoring reports for music professionals (access to API/ PDF reports) 22
- 23. Team CTO Denis Orel MS applied math and system programming Main developer of the search and recommendation API, key inventor of smart music discovery technology and UI; 2006-2007 main developer of distributed telecom data network for MERA; 2005-2006 key developer of multimedia systems for MERA. Author of patents and scientific articles. CEO Alexey Fomichev Project manager in R&D in IT since 1997. Since 2009 - director of R&D in MERA – one of the leading IT R&D company in Russia. Alexey is a driving force & ideologist of all FindStream solutions with profound knowledge of global media streaming and digital music industries CMO Daria Golyanina Marketing and PR professional with more than 8 years experience in IT marketing. Worked as senior marketing manager for MERA with exposure in the US and Asian markets. Has been actively engaged in marketing and PR in media and music, established working connections with record labels, radio promoters, artist managers and data analytics companies at different levels.
- 24. Contact us Alexey Fomichev fan@balakam.com Daria Golyanina dgolyanina@balakam.com 24