Atlas Signal

Marcus Reid has built and sold in this exact space. Yuki Tanaka's hedge fund background is directly applicable to time-series royalty forecasting. Priya Rao brings the buy-side perspective that most founders in this category lack. Near-ideal team composition.

Not a novel product category, but the execution depth — 91% forecasting accuracy, DSP coverage across 47 services — sets a new bar. Creativity is in the product quality, not the idea.

142% NRR and $4.2M ARR across only 11 clients indicates massive account expansion. Enterprise pricing, low logo churn, clear expansion motion. Margin profile is textbook vertical SaaS.

• ●Founding team is a near-perfect fit for the problem
• ●142% NRR is exceptional at any stage
• ●Three top-10 catalog funds as clients validates category leadership
• ●Clear European expansion thesis with defensible data moat

• —TAM may be narrower than SaaS comparables — institutional buyer universe is finite
• —Dependency on continued DSP data access agreements

• ?How durable are the DSP data licensing agreements?
• ?Is the European market structure amenable to the same GTM motion?

Catalog investors lack tooling to model future royalty streams with granularity. Diligence takes 6-12 weeks and relies on opaque spreadsheets.

Real-time analytics platform ingesting DSP data across 47 streaming services. Forecasts royalty streams by track with 91% accuracy vs subsequent 12-month actuals.

$12B in catalog transactions in 2024. Top 50 catalog buyers collectively manage $80B+ in rights.

Enterprise SaaS, $180K-$450K/year per institutional client.

$4.2M ARR. 11 institutional clients including 3 of the top 10 catalog funds. 94% logo retention. NRR 142%.

$18M Series A at $85M post. Primary capital for go-to-market expansion into European rights holders.