Unlocking Scalable Discovery and Enhanced Talent Visibility
A renowned indie music label, known for its influential role in the punk music scene, faced the challenge of updating its artist discovery process. In a sector traditionally dependent on conventional scouting methods, the label aimed to leverage cutting-edge technology to improve its ability to unearth new musical talents. The objective was to replicate their historical success in adopting new technologies, this time by integrating the latest advancements in AI.
A sophisticated A&R AI assistant (ARnie), specifically tailored to the label's unique requirements. Distinguishing itself from standard tools, ARnie integrates advanced Large Language Models (LLMs), social media data, and key music APIs. This specialized AI assistant is equipped with:
Integrated Chat Interface: Employing LLMs for intuitive and engaging data analysis.
Interactive Conversational Flow: Moving beyond traditional metrics to a dynamic, user-centric interface.
Contextual Memory System: Enabling the A&R team to store and compare data seamlessly, leading to more strategic decisions.
ARnie marks a significant advancement in A&R technology by leveraging bespoke, fine-tuned AI models, based on specific data insights, delivers exceptional value. More than a mere data aggregator, ARnie redefines the interaction between the music industry and information, steering strategic and informed decision-making.
ARnie is still in Beta testing, however the label has significantly expanded its capacity for discovering new artists, increasing the rate of artist discovery. This advancement demonstrates ARnie's effectiveness in empowering the label's teams at the onset of the creative process. It offers enhanced intelligence and insights, particularly from social media data, streamlining the early stages of artist discovery.
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Unlocking Scalable Discovery and Enhanced Talent Visibility
Client
Music Label
Industry
Independent Record Label
Objective
Accelerate and enhance the A&R team's ability to discover emerging talent through advanced research tools.
Audience
Geologie Marketing Team
Tech
Google Gemini
Data
Consumer Data
Objective
Accelerate and enhance the A&R team's ability to discover emerging talent through advanced research tools.
Geologie needed to understand Target shoppers who differed significantly from their direct-to-consumer audience for their acne treatment line retail launch.
Traditional go-to-market validation would have required 9 weeks and$39,000 per test cycle, making rapid iteration impossible for their launch timeline.
RehabAI developed an AI-poweredStress Tester specifically trained on 1.4 million customer records from Geologie's database, transforming their first-party data into strategic insights.
The system featured data integration, persona generation, instant testing, and rapid iteration capabilities that traditional methods couldn't match.
Geologie cut their go-to-market planning time by 88% (from 9 weeks to 9 days) and reduced costs by over 80% (from $39,000 to under $3,100 per test).
The solution enabled a successful launch in nearly 1,000 Target stores while validating emerging customer segments that led to the winning tagline: "Bad for acne, good for you."
A&R experts spent valuable time on manual platform searches rather than evaluating talent
Data capture and findings were across different platforms and tools making tracking the artists difficult across team members.
Identifying up-and-coming artists required extensive, cross-platform identification, leading to delayed insights.
We analyzed the label’s traditional A&R workflow and augmented it with an AI-powered tool that streamlined the process.
ARnie, a customized AI tool, was developed to meet the labels unique A&R needs.
A&R team can now discover new talent in seconds rather than hours.
Rapidly identifies bands with breakout potential, refining the shortlist process.
Provides a consistent, shared view of candidate artists, strengthening decision-making.
Talent shortlist frequency increased from 2 to 8 bands per month, expanding the label’s roster potential.
Standardized artist tracking and sharing made team brainstorming and final sign-off more efficient.
Epitaph now leverages advanced AI capabilities, establishing itself as a leader in tech-driven talent scouting.
These results underscore the significant impact of our custom Al solution on the label's A&R operations.
By moving from traditional, manual scouting to ARnie, the label unlocked rapid talent discovery, streamlined team collaboration, and positioned itself strategically in the indie music landscape.
ARnie has empowered their team to confidently identify and nurture emerging artists, driving unprecedented growth and setting a new standard for indie labels.
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