Future Roadmap

Building the AI music trust layer in the open.

Follow the AIMI and AIMSO roadmap from foundational registry infrastructure to broader industry participation, with each phase clearly marked by its current status.

We are in Phase 1 (Foundation). Roadmap timelines are estimates and will evolve with industry input and community participation.

Phase 1

In Progress

Foundation

Core infrastructure: registry system, H0–H5 classification framework, AIMI Score v1.0, basic chart ingestion, and public-facing platform.

AIMI Registry with permanent IDs (creators, labels, tracks, prompts, voices)

AIMSO H0–H5 classification framework

AIMI Score v1.0 (30/25/20/15/10 weighting)

Public charts, methodology, and governance pages

Creator and label onboarding workflows

Founding Registry and Council formation

Phase 2

Planned

Judge Engine

Automated classification and scoring engine. AI-assisted review for H-level assignment, prompt innovation scoring, and verification triage.

Automated H-level pre-classification from prompt and metadata analysis

Prompt innovation scoring engine

Verification triage and fraud detection

Appeals and review workflow automation

Bulk catalog processing for labels

Phase 3

Planned

Provenance Layer

Immutable provenance chain linking prompts, voices, models, tracks, and creators. Establishes traceability for rights management and attribution.

Prompt-to-track provenance chain

Voice model consent and usage tracking

Model lineage and dataset disclosure

Rights and attribution graph

Provenance API for third-party verification

Phase 4

Planned

Agent-Native Protocol

Standards and APIs for AI agents creating, distributing, and managing music. Agent identity, disclosure protocols, and automated compliance.

Agent identity registry (AIMI-AGENT-######)

Automated AI disclosure protocol

Agent-to-platform compliance API

Real-time classification for agent-generated content

Agent rights and attribution framework

Phase 5

Planned

Ecosystem Partnerships

Industry-wide adoption through partner integrations, licensed standards, data feeds, and cross-platform verification networks.

Platform integration partnerships (Spotify, Apple, YouTube, TikTok)

Distribution pipeline standards licensing

Cross-platform verification network

Industry analytics and market intelligence APIs

Global certification and membership programs

Phase 6

Planned

API & Provenance Roadmap

Public APIs and provenance infrastructure for the AI music industry. Ordered by dependency and industry priority.

Public Registry API — lookup tracks, creators, labels by AIMI ID

Verification API — programmatic verification status and trust score retrieval

Audio Fingerprinting — content-based identification and duplicate detection

C2PA Credentials — tamper-evident provenance metadata embedded in files

Audio Watermarking — inaudible persistent identifiers for AI-generated content

Agent-Native Ingestion — AI agents register and classify content autonomously

Webhooks & SDKs — real-time event streaming and developer tooling

Adoption-Facing Feature

Public Track Trust Profiles.

Every registered track gets a clean, shareable public trust profile at /tracks/{aimi_song_id} — making AIMI Ledger feel like a verifiable public utility.

Why public profiles matter

Creators can share verified registry identity and trust scores with fans, distributors, and partners.
Journalists can cite transparent methodology, scores, and verification status in coverage.
Platforms can inspect trust fields, H-Level classification, and source confidence tiers.
Labels & Attorneys can review disclosure, verification status, and provenance metadata.
Researchers can access transparent scoring breakdowns and data source methodology.

What's included

AIMI-SONG ID, H-Level, AIMSO Rating, and verification status
Full AIMI Score v1.0 breakdown with five weighted components
Prompt Innovation section with novelty mode (pgvector / fallback)
Platform Diversity (HHI) explanation and multiplier
Verification & provenance status cards with Phase 3 roadmap items
Copy AIMI ID, copy profile link, and share buttons

View Sample Trust Profile View Methodology

Next Backend Milestone

Post-Public Trust Profiles

B: Asynchronous Cohort Engine

After Public Track Trust Profiles, the next backend milestone is the Asynchronous Cohort Engine. This will use the CohortCache model to compute percentile rankings within H-Level cohorts in the background, enabling real-time cohort-relative score normalization without blocking score calculation or profile rendering.

Background CohortCache rebuild via POST /api/v1/rebuild-cohort-cache

Percentile ranking within H-Level cohorts

Asynchronous — does not block score calculation

Enables cohort-relative normalization for fair cross-genre comparison

Help shape the roadmap.

The AIMI and AIMSO roadmap evolves with community input. Join the Founding Council to influence priorities, standards, and platform direction.

Join Founding Council View Governance Partner Solutions