Greenlight Pay
An AI compensation coach and market benchmark app that helps actors and crew walk into negotiations with real numbers, plain-English clause explanations, and pay-equity comparisons.
Working TV/film actors and crew preparing for contract renegotiations
- Role-based pay benchmarks by show budget, network, role size, and tenure
- Plain-English breakdowns of contract clauses like options, backend, and residuals
- Pay-equity comparison against comparable co-stars by screen time and tenure
- Negotiation rehearsal chat that simulates tough producer pushback
Emmy Rossum's renewed spotlight on Shameless pay parity and SAG-AFTRA's continued push for transparency have made pay disparity a recurring headline; pilot-season actors need real ammunition now.
Google trend of 100+ for 'shameless' is modest; working actor/crew segment actively searches SAG rates (cmsproductions.com, Topsheet, ActorPay all publishing rate guides), confirming recurring interest but not breakout demand.2025 SAG Agreements & Rates: A Complete Overview ↗The Complete Guide to SAG-AFTRA Paid Scale - Topsheet ↗
ActorPay already offers a SAG-AFTRA BG pay calculator with bumps; Topsheet and Wrapbook serve adjacent pay/admin needs — but no app combines AI clause explanation + market-benchmark negotiation coaching for individuals, leaving a narrow window.Actor Pay – Pay Calculator and info for Working Actors ↗The Complete Guide to SAG-AFTRA Paid Scale - Topsheet ↗
Willingness to pay is constrained — most working actors and below-the-line crew are gig-economy earners with tight margins; SAG minimum rates are already free, so premium must come from negotiation-coaching value, suggesting freemium at best.2025 SAG-AFTRA and DGA - GreenSlate ↗
SAG-AFTRA 2023-26 CBA and recurring pay-equity headlines (pay parity, residuals) anchor a durable cycle of contract renegotiations every few years, giving the tool long-term relevance.2023-26 SAG-AFTRA Agreement Wage Tables ↗
Feasible but non-trivial: SAG minimums are public but real market/over-scale benchmarks are fragmented and not openly licensed; plain-English clause explanation is doable with LLMs, but data moat is the hard part.A Guide to Salary Benchmarking Tools for Competitive Compensation ↗