Case Study - AI-powered audio data analysis
WaveDivision Audio revolutionizes audio quality control with A.M.I.E., an intelligent tool that catches audio anomalies like clicks, pops, drops, and distortion that human ears might miss. We built their complete software platform from concept to commercial launch.
- Client
- WaveDivision Audio
- Year
- Service
- Desktop Software, AI Development, Audio Processing
Overview
WaveDivision Audio approached us with a critical problem in the audio industry: manual quality assurance was eating up countless hours of audio professionals' time, while still missing subtle but important audio defects. They envisioned A.M.I.E. (Artificial Music Intelligence Engine) - an AI-powered tool that could detect clicks, pops, drops, and distortion in seconds rather than hours.
We developed A.M.I.E. as a native macOS application with sophisticated audio analysis algorithms at its core. The software automatically detects audio anomalies that even experienced engineers might miss, while providing commercial viability analysis to ensure tracks meet streaming platform standards. Key features include batch processing for multiple files, watch folder automation, and detailed reporting.
Since launch, A.M.I.E. has revolutionized quality assurance workflows for solo engineers and commercial studios alike. The platform's subscription model generates recurring revenue while serving a growing customer base who rely on its precision and speed for their critical audio projects.
What we did
- Native macOS Application
- AI Audio Analysis Engine
- Batch Processing System
- Watch Folder Automation
- Commercial Viability Analysis
- Subscription Management Platform
Pillarmount Digital didn't just build us software - they built us a game-changing product. A.M.I.E. has transformed how audio professionals work, saving them hours of manual QC while catching issues they would have missed.
- Reduction in manual QC time
- 95%
- Audio anomaly detection accuracy
- 99.7%
- Faster file processing
- 85%