AI for Live Music · MVP Q3 2026

Predict your show.
Before it sells.

Rchive AI turns fragmented fan data into clear demand forecasts. City-by-city heatmaps, ticket revenue projections, and tour routing — built for the artists, promoters, and scenes that move at internet speed.

Pilot underway with Ben Baker · manager of glokk40spaz
The Problem

Streams aren't ticket buyers.

Even major artists with hit catalogs misjudge demand. One bad booking = real financial loss, wasted effort, damaged reputation. Independents have no chance without data.

Katy Perry — "Lifetimes"
Houston >50% unsold. Minneapolis ~2/3 of 20,000 still open at showtime.
JP Saxe
Cancelled fall tour citing low ticket sales.
Iggy Azalea — "Great Escape"
Entire tour canceled due to low sales.
Chrishell Stause UK
Cut prices ~57% to fill seats. Emergency price cuts = symptom of a bad forecast.
The Solution

Forecasting power without the label budget.

A single dashboard that predicts demand by city, projects ticket revenue, and optimizes tour routing. The same firepower majors build in-house — for indies and operators.

🗺️
City Heatmap
Real fan turnout potential, not just streaming density.
💵
Revenue Projections
Ticket revenue per show across price tiers and venue sizes.
🛣️
Tour Routing
Geographic clustering and demand-weighted dates for profitable runs.
📈
Engagement Insights
Which songs and moments actually drive fans to shows.
📊 Shareable Reports
PDF and dashboard outputs for artists, promoters, managers.
Near Real-Time
Cultural moments come and go in weeks. Static historical data is useless.
Why Us

Built by operators.
Validated on real tours.

Operator-built

Founded by an active music industry operator (Rchive Group / Dark Outside), not a generic AI team. We know what promoters need because we are them.

Live-first thesis

Every other product is streaming-first with live as an afterthought. We're live-first. Streaming is one input signal — not the answer.

Underground rap & alt focus

The fastest-moving, most data-poor scenes. Chartmetric and Songstats are built for catalog tracking, not demand forecasting for live shows.

Embedded design partner

First commercial pilot is a real touring artist (glokk40spaz, via manager Ben Baker), early 2027. Models validated against actual ticket sales.

Early Access

Get on the list.

Limited beta seats for promoters, managers, and labels. We're picking 10-15 design partners before public launch.

We'll only use your info to contact you about Rchive AI. No spam.