Miniac:
Pro-Viz

We recently launched a new product called Pro-Viz, a process where our filmmakers leverage the latest technology tools in a traditional post production workflow to create pitch films that feel like the real thing. We’ll share a couple success stories with fortune 100 brands and a cautionary tale.

Part 1: From “Mood Boards” to “Mood Worlds”

Pitching motion concepts has always been difficult. Most people need to see it to understand it. Why is it so hard?

To state the obvious, creatives face a basic challenge; words are 1D symbols we use to try and describe a film, which is a 4D experience (width, height, depth and time). Film, or motion, is a living simulation where space and time work together to prove the concept actually functions. Images or gif’s capture a slice of this that helps us with the “look,” and words can help fill in some of the gaps. Mostly, though, traditional pitches today convey a small fraction of how the idea will be experienced on screen once it’s produced. 

With the help of Spatial AI, we’re finding that we can build a navigable reality to help creatives more comprehensively convey their ideas to senior leadership. With skilled storytellers, technicians and AI tools, Pro-Viz helps teams not just pitch a “video idea” but inviting leadership to walk through a simulated version of the campaign. 

Pro-Viz provides executives greater certainty.

 Part 2: The Proof

With Pro-Viz, creative teams can pitch something close to the final product.

Case #1: A large CPG brand spent some of 2024 and 2025 developing a rebranding strategy for a 100+ yr old brand. The research was complete, part of the redesign process had started and the initial messaging was taking shape. Using this as our brief, we created a Pro-Viz brand film to help the organization experience and understand where the rebrand was going. The film served as quick, emotive alignment tool within the organization. Rather than hope the organization was reading through all the research and strategy work, the Pro-Viz summed up the essential takeaways and provided a path for the brand to travel. The time and cost for the Pro-Viz was a fraction of producing the real thing and everyone at the company who has spent 2 minutes watching the film understands exactly where the brand is heading. 

Case #2 A large consumer electronics company has an internal creative agency. They were struggling to sell their superbowl concept to the founder. They came to us with a creative concept and script and we created a Pro-Viz version of the film. The internal agency played the pitch film and sold the spot to the founder in the meeting. A few weeks later, we produced the film and it played in the 2026 Super Bowl. It was their most successful commercial to date.

*These examples were for internal use only and not subject to the same legal scrutiny as consumer-facing work.

Part 3: The Physics Gap

Today’s AI models are masters of pixel probability. Often this is sufficient when using an LLM, but we caution that these models are illiterate about the physical world. 

This real world example resonates:

The 16-Year-Old: A teenager can learn to drive a car with roughly 20 hours of practice. They don’t need to crash into a thousand trees to understand that hitting a tree is bad. They have a “World Model” meaning they understand gravity, momentum, and the solidity of objects before they ever touch a steering wheel.

The Autonomous Vehicle (AI): To get a self-driving car to even a basic level of safety, it required millions of hours of data and thousands of simulated crashes. It has to be told every possible permutation of a mistake because it doesn’t have the “common sense” of physics.

Words or LLM’s = 1D

Physical World or Film = 4D

Scientifically, most generative video tools today are autoregressive, meaning they are predicting the next most likely frame based on 2D patterns rather than calculating the 4D constraints of gravity, mass, and kinetic energy; a gap Yann LeCun famously describes as a lack of ‘AI Common Sense in his JEPA (Joint Embedding Predictive Architecture) critique. 

In contrast, a JEPA-style architecture aims to predict the meaning and consequences of an action which understand that if a glass falls, it must break, and gravity must pull it down. Without this internal world model, current AI struggles to maintain spatial persistence, leading to hallucinations where objects suddenly morph, shadows detach, or momentum defies the basic laws of friction.

TLDR; What does this mean for filmmakers and brands?

We are not yet in an era where you can simply prompt a :60 film into existence; rather, we use AI to generate high-fidelity bursts of raw motion and light. By treating these :05 clips as raw assets within a traditional post-production workflow, we can maintain creative precision and brand consistency that a magic single-button solution cannot deliver.

Part 4: A lot has changed. Nothing has changed. Talent remains critical 

If anyone sees a cool AI clip where a car drives through a building instead of around it, the spell is broken. This is a problem. Storytelling goes out the window when the physical world does not hold up to the realities we know.

Because AI stumbles often, we lean on human filmmakers to steer the hallucination back into reality. Although we don’t need Pro-Viz to be perfect in the way we need the final piece of content to be, we heavily rely on seasoned filmmakers to make this as believable as possible. Since we are asking the audience to “suspend belief,” anything that takes the viewer out of this imaginary world can be a distraction at achieving the desired outcome of the pitch. 

Although the models are improving every day, talented filmmakers are still the puppet masters that make Pro-Viz quality storytelling instead of AI slop. We’re also finding that in order to address specific notes that require fine-tuned manipulation of a scene, a human hand is the only solve.

We aren’t in a place where we can fire the VFX team but instead we’re promoting them to environment architects who take the raw AI splat and clean it up. Best in class talent mixed with the latest technology is a winning formula.

Part 5: Pro-Viz has ROI 

The hype cycle around AI is high and the potential seems endless. Rather than broadly believing that AI is going to revolutionize everything (it might), we are focused on finding and offering real world use cases that provide ROI. Pro-Viz is one such case. There are many others.

In our view, Pro-Viz helps eliminate guesswork and leaves less of the creative idea up for interpretation. Shareholders, executives and senior leadership seem to have an insatiable appetite for certainty.