Technology
We developed the next generation of pricing engine, using audio as a data source, capable of handling true human-level recognition and estimation of music royalties
Intelligent Estimation
Unbias allows you to accurately estimate how likely a song is going to perform on streaming platforms.
Our technology can take important details from a song – such as a genre, mood, instruments – and use this information to estimate playlisting and streaming outcomes.
It reveals hidden insights into future high-cost and low-cost marketing efforts that would otherwise be missed by relying on experience alone.
Accurate Forecasting in Any Circumstance
Understand your song trajectory better, prior to release.
Our advanced AI identifies signs of future opportunities at the day level, up to 60-Days into the future.
Nudge marketers towards their goals despite unexpected deviations, unlocking new levels of self-service opportunities.
Human-Level Music Perception
Extract more meaning to support true human-level music understanding.
Our personalized second-by-second Music Feature insights help you dissect which features drive high-performing songs.
Our AI is pre-trained on millions of data points to handle various styles of music. It already knows when to differentiate between ‘Alternative R&B’ instead of ‘RnB,’ and understands the presence of single or multiple vocalists.
Effortless Comparisons
Unbias AI can compare side-by-side with other high-performing songs.
Our models can take important details – like scale, song duration, BPM, genre, instruments, and related moods or themes – and compare this information directly to the right artist and song, and display how quickly it peaked on streaming platforms.
See it in action
The Latest From Unbias
In-Depth: Predictive Streaming
Welcome to ‘In-Depth,’ where we explore AI and music topics, covered in great detail. Today, we focus on predictive streaming, the foundation of our company.
Voice Cloning AI
It’s fascinating how fast technology evolves, and today I’d like to discuss an intriguing trend that has caught the attention of music enthusiasts worldwide: AI-generated
Intuition And Data
How do we make choices when faced with risk and uncertainty? This fundamental question was addressed by psychologists Daniel Kahneman and Amos Tversky in 1979
In-Depth: How AI Music Generation Works
I am experimenting with “In-Depth”, a long form edition of our blog about topics related to AI and music, covered in greater detail. The aim
Human + AI
We are living in a time where algorithms increasingly aid human decision-making. I’d like to share a couple of studies that provide unique insights into
Repetition And Likeness
Diving deeper into the realm of musical preference, I’d like to share some compelling findings from the academic paper “Repeated Listening Increases the Liking for