Trqk launches royalty performance platform for creators and publishers

By Emmanuel Legrand

Following a year of development, music royalty intelligence platform Trqk has launched its first product in public beta — TrqkIQ, powered by deep data science and business intelligence. The company said its goal is to help creators and publishers "work more efficiently while growing their income with strategic royalty insights."

  TrqkIQ is described as "a visualisation, detection, and insight platform for performance royalties that brings key analytics to life, allowing rights-holders to instantaneously see how their royalties are performing and flowing." TrqkIQ relies on music information retrieval (MIR) technology "to help creators collect unpaid royalties by detecting performances that might have been missed during the complex and fragile royalty claim and payment process."

  David Della Santa, Co-Founder and Chief Creative Officer of Trqk, said he created Trqk "to simplify the process so creatives can maximise their performance royalty revenue by learning where and how to spend their time.” Della Santa said he learned that there was "incredible value" embedded in royalty data, but that it took a Ph.D. in data science and a degree in coding "to suss out the answers and take action." Trqk, he added, is the answer to that conundrum.

The power of big data

  The platform uses the cross-industry TrqkIQ Insights Index database and points out trends and opportunities to maximise licensing income and guide deal-making. The public beta launch roll-out will begin in mid-December with TrqkIQ – Indie Edition, which is described as "tailored to the needs of independent songwriters and producers."

  “Trqk’s unified platform, combining visual royalty statement analysis with digital detection, is a brilliant idea,” explained Joe Saba, composer/producer and Co-Founder of VideoHelper. “They are addressing one of the music industry’s biggest challenges, which is to gain insight across our various data streams, which are siloed in different formats and require significant manual labor to manage. They are bringing the power of big data to music businesses of all sizes.”