filmIQ builds the intelligence layer for physical operations.
We started with film and television production. The thesis transfers.
The company.
filmIQ was founded on a specific observation about how complex physical operations actually fail. Productions don't go over budget. Experienced producers don't let them. What productions do is go under scope. The creative ambitions get quietly reduced to absorb the operational drift that standard tools can't see early enough.
This pattern isn't unique to film and television. It exists in construction, clinical trials, logistics, and every other industry where knowledge work holds a complex physical operation together. But film and television is where we know the problem most deeply, where we have the practitioner relationships to build the pattern library correctly, and where the time-bounded nature of each production creates the right learning cycle.
filmIQ builds telemetry, the intelligence layer that reads the documents productions already generate and surfaces the signals early enough to protect creative scope. Our beachhead is production. Our category is operational intelligence for physical industries.
Where this comes from.
John Corser was SVP of Production and Production Technology at NBCUniversal, overseeing more than 30 scripted series. The pattern was visible across every one of them. Productions rarely overspent. They quietly reduced scope. The financial reports looked clean. The final cut was always a little less than what had been greenlit.
The tools available to catch this were, and still are, the wrong tools for the job. Budget tracking systems measure what was spent. Scheduling systems measure what was planned. Neither measures the gap between what was financed and what was actually built. That gap is where the real waste lives, and it is invisible to everything the industry has been using to manage productions.
filmIQ exists to make that gap visible, while there is still time to act on it.
Founders.
Former SVP of Production and Production Technology at NBCUniversal, overseeing 30 scripted series. Emmy winner and Oscar Nominee. Ran his own production company before NBCU. At filmIQ, leads the pattern-library work, the research panel relationships, and the practitioner-facing product direction.
Enterprise cloud leader with twenty-plus years across entertainment, technology, and media. Led enterprise engagements at Warner Bros., SONY, Discovery, and Apple through roles at Epic Strategies and Metal Toad. Started his career at HBO. AWS cloud certified. Also a WGA screenwriter. Leads go-to-market and commercial.
Two decades running technology-enabled transformation programs for global enterprises, most recently at Capgemini. Specializes in bringing together strategy, design, and data practices on complex programs for large organizations. Leads operations and category strategy.
Data platforms, distributed systems, and applied ML across two decades at Amazon, Microsoft, and SAP. Has led technical work at the intersection of applied research and production product across enterprise software, language technology, and life sciences. Leads engineering and the architecture of telemetry.
Engineering.
Engineering and applied product development across two decades, with a focus on AI systems applied to operational domains where domain knowledge is the bottleneck. At filmIQ, builds the ingestion and intelligence layer that turns heterogeneous production documents into structured operational signal.
Research panel.
filmIQ works with a panel of working producers. More than a hundred combined production credits across scripted television, feature film, and independent production.
The panel is our research instrument for pattern library construction, not an advisory board in the conventional sense. Their judgments at temporal inflection points during productions are the labeling mechanism the platform runs on. They define what drift looks like, validate the signals, and tell us when we're wrong. The pattern library exists because of their willingness to structure and externalize knowledge that has traditionally lived only in practitioner heads.
How we work.
Three principles shape how filmIQ builds.
We build for credibility, not capability alone.
The practitioners we serve have decades of experience. An intelligence system that speculates, hedges, or dresses findings in marketing language loses their trust in a single reading. We write our product the way experienced practitioners speak. Direct. Specific. Honest about limits. That's not a style preference. It's a binding constraint on the product.
We work upstream of the moment of failure.
Most production technology measures what went wrong after it happened. We work on the window before the damage is absorbed. That window is narrower than the industry assumes and wider than any single producer can see without help. The detection window is the product.
We build with practitioners, not for them.
The pattern library exists because working producers helped define it. The product exists because experienced line producers told us the V1 delivery model was wrong and we rebuilt it. We treat practitioner feedback as the most important signal we receive.
Contact.
General inquiries, press, partnerships: info@filmiq.ai
For investors, see the Investors page.