Music, radio, streaming & public audio intelligence.
Keene Media Intelligence develops modern data aggregation and analytics tools for tracking music discovery, radio airplay, playlist activity, streaming signals, podcasts, and emerging cultural trends.
Core capabilities
Built around the practical problem of turning fragmented music and audio signals into structured, searchable, reportable intelligence.
Playlist & airplay aggregation
Ingestion concepts for radio logs, public playlists, college radio systems, chart sources, and streaming metadata.
Track normalization
Structured matching of artist, title, station, source, timestamp, platform identifiers, and chart context.
Trend analytics
Weekly charts, velocity detection, cross-source comparisons, emerging artist signals, and market-level analysis.
Dashboard concepts
Secure, web-based access patterns for filtering, ranking, exporting, and reviewing current or historical activity.
Audio content expansion
Architecture can extend beyond music into podcast charts, talk radio, spoken-word programming, and public audio monitoring.
Prototype-driven development
MusicScanner serves as a working testbed for playlist scanning, discovery behavior, engagement signals, and data workflows.
A lightweight intelligence platform for fragmented audio data.
The platform approach is modular: collect public or licensed data, normalize it into consistent records, generate charts and reports, and deliver findings through dashboards or exportable files.
How it works
A simple architecture designed to scale from prototype datasets to broader commercial or government reporting needs.
Ingest
Collect playlist, chart, radio, streaming, and public audio metadata from approved sources.
Normalize
Resolve artist/title variations, timestamps, source labels, markets, stations, and platform identifiers.
Analyze
Generate rankings, velocity measures, cross-source comparisons, summaries, and exportable reports.
Materials
These links can point to hosted PDFs, a private demo, or a request-only package.
Capability Statement
One-page government-facing summary of vendor information, capability areas, and relevant development work.
Platform Overview
High-level explanation of the music and audio intelligence platform architecture and intended use cases.
Demo Dashboard
Lightweight concept dashboard demonstrating chart-style outputs, trend signals, and report structure using demo data.
MusicScanner Prototype
Internal testbed for playlist discovery, Apple Music integration, scanning behavior, saved songs, and engagement modeling.