On Production: How AI Is Changing the Green Light Decision featuring Tobias Queisser

Cameron sits down with Tobias Queisser, CEO and co-founder of The Cinelytic Group, to explore how AI is changing decision-making across the entire content lifecycle from development and packaging to marketing, distribution, and monetization. Tobias brings a unique vantage point to this conversation. Before co-founding The Cinelytic Group, he spent a decade as an investment banker advising on complex international M&A deals, co-founded a global investment fund in London, founded Arctic Pictures Limited as an international film production company, and co-founded Cosmo Media Labs, producing TV shows, games, and Web3-based brand experiences. That cross-industry background—finance, technology, and entertainment—is exactly what drove him to build the tools he felt the industry was missing. While much of the industry conversation around AI focuses on content creation, Tobias argues that some of the biggest opportunities sit on the business side. Drawing on his M&A background, he explains why filmmaking has historically lacked the analytical tools common in other industries, and how forecasting models, audience intelligence, and decision-support systems can help producers better understand risk before costs lock in. Cinelytic's proprietary models have achieved 97% accuracy on early 2026 domestic box office forecasts and are used to track streaming performance, franchise trends, and predictive signals for sequel success across major releases. The conversation covers everything from script evaluation and talent packaging to release strategy, windowing, marketing analytics, and audience sentiment, including a look at SocialSense360, The Cinelytic Group's real-time tool for tracking audience reactions to trailers and campaign content. Tobias also discusses how forecasting models should be used—not as a replacement for creative judgment, but as a way to test assumptions, explore scenarios, and bring more clarity to the business decisions surrounding a project. Please note: The views and opinions expressed by guests on this podcast are solely their own and do not reflect the views of Wrapbook, its employees, or affiliates. ————— SUBSCRIBE to Wrapbook’s YouTube Channel →    / @wrapbook-platform   Stay up to date on industry changes, payroll compliance, and more. JOIN THE CREW on Social Media → LinkedIn:   / wrapbook   Instagram:   / wrapbook   Facebook:   / wrapbook   Twitter:   / wrapbook   ————— ABOUT WRAPBOOK Wrapbook is the AI platform for production finance. Built for today’s fast-moving production landscape, Wrapbook brings payroll, spend, and accounting into one AI-powered system—giving production teams the tools they need to do more, faster. Built for features, TV, or commercials—Wrapbook helps the industry’s biggest production companies stay compliant, track every dollar in real time, and eliminate the paper-chasing that slows everything down. AI handles the busywork—reading invoices, flagging issues, syncing data—so your team can focus on the work that really matters. But software is only half the story. Wrapbook pairs powerful automation with concierge support from industry experts who’ve worked on set and know what’s at stake. It’s how the best production teams scale smarter, protect their budgets, and keep their crews happy. See how Wrapbook is a force multiplier for production finance teams at www.wrapbook.com.

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On Production: Where Workplace Risk Starts on Set featuring Jesse Weinstein

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How to Build a Remarkable Brand in the Age of AI | Seth Godin

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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On Production: What Production Accountants Catch Before Anyone Else featuring Patricia Beaury

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Video That Closes: Content Built For The Sales Funnel

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On Production: The Art of Realness: Crafting Authentic Stories in Reality Television with Irad Eyal

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On Production: How Santa Fe Works as a Production Hub featuring Andrew C. Griego

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On Production: How Streaming Studios Make Decisions featuring Marc Resteghini

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Khan Academy CEO: The Real AI Opportunity Is in Boring Industries | Sal Khan

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On Production: Filming in Massachusetts featuring Meg Montagnino-Jarrett

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The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick

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Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis

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Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS

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