SourseAI, an AI and machine learning platform for decision augmentation, has secured $1.5 million in funding to negate gut decision making in the media, telco and utilities sectors.
SourseAI CEO Matt Jones said the funds will be used to accelerate the development and scale of Sourse – the patented Augmented Intelligence Platform that applies industry specific machine learning models to the key decisions executives make every day.
Why is SourseAI attracting investments?
“58% of executives that responded to a BI-SURVEY.com said they base more than half their decisions on gut. That’s an alarming figure when you consider the degree to which these decisions impact bottom and top line results. That’s why we built Sourse,” said Jones.
As an early investor, the innovation-led company will use the Sourse platform to discover audience behavioural insights, listener mood states and how to power dynamic cohorts, enabling a hyper-personalised experience across SCA digital platforms, including LiSTNR.
SCA Head of Digital and Innovation, Chris Johnson said, “The key advantage of developing LiSTNR within SCA is our ability to determine our own future, and we’re leading the market by investing in high performance technology partnerships that can accelerate our roadmap.”
“Our investment in SourseAI allows us to deliver a deeply personalised listening experience to consumers, based on consumption habits and context.”
“It also enables us to gain a rich understanding of our audience’s behaviour, enabling us to continue to create market leading advertising solutions.”
“The AI and Machine Learning space is scaling and we believe that investing in the entrepreneurial ecosystem to support our digital audio ambitions is the best strategy.”
“SourseAI is the right partner to deliver on our vision and our investment will provide significant long-term value to both parties.”
SourseAI platform’s plans for the future
SourseAI CEO Matt Jones said, “The Sourse Platform is ideal for SCA and that it will boost the use of augmented intelligence in strategic decision making across the SCA teams, driving hyper-personalisation of content to audiences across SCA’s digital experiences.”
“Sourse’s mission is to apply our patented machine learning algorithms to enhance the experience for SCA audiences using a whole range of data.”
“This includes understanding the tastes and behaviours of every listener on SCA platforms.”
“Using advanced recommendations and personalisation algorithms, we can ensure the right content in each listener’s feed at any time they engage in the app,” he said.
“ML models help to drive the media metrics about frequency of engagement and time spent.”
“By personalising the experience with Sourse, SCA will improve these metrics, resulting in a more engaged audience and delivering improvements across both advertising targeting and advertising yield. It’s better for the listener, SCA’s clients and ultimately for SCA,” he said.
SCA will leverage other Sourse capabilities such as Forecasting and Anomaly Detection.
The feature helps to understand growth across content genres, predict seasonal content scheduling peaks and troughs, and to explore changing content tastes, enabling SCA to develop content that is truly relevant to its audience’s ever-changing tastes.
“The Sourse platform ensures SCA can stay ahead and innovate by making data-informed decisions to deliver savings and grow revenues through new and innovative content strategies that Sourse identifies as having substantial consumer interest,” Jones said.
“In previous implementations of the Sourse recommender for an OTT media broadcaster, Sourse delivered growth of more than seven times the monthly audience engagement and extended average user watch time monthly from eight minutes to more than 45 minutes.”
“A combination of these metrics indicates a more satisfied audience and ultimately a multiplying impact in ad revenues.”