The modern software developer operates in a state of continuous, high-velocity creation. With fingers moving rapidly across keyboards to interact with sophisticated interfaces like Codex, Claude, and Cursor, engineers orchestrate complex workflows that would have appeared futuristic, if not entirely alien, just twenty-four months ago. The traditional Integrated Development Environment (IDE) has been completely dismantled and reconstructed from the ground up for the artificial intelligence era, resulting in unprecedented levels of engineering output.
Simultaneously, generative video models have achieved staggering advancements over the same two-year timeframe. Yet, unlike the software engineering sector, the video creation industry remains bound to legacy infrastructure. The prevailing toolchain relies heavily on capturing, uploading, storing, and manipulating massive, cumbersome files. While generative video stands at a monumental threshold—where models possess enough expressive fidelity to function as a new type of camera—creators are not experiencing the same frictionless acceleration seen in software development. The primary barriers are no longer the technical limitations of animation craftsmanship or the prohibitive nine-figure budgets traditionally required for film crews and visual effects; instead, the bottlenecks are human creative orchestration and token inference management.
The Fragmentation of Modern Video Production
Without a dedicated, AI-native workspace—a true equivalent to the developer-centric environments transforming tech—professionals who produce films, television series, and high-end commercials for a living are forced to cobble together disparate systems. They must attach advanced model outputs to rigid, decades-old editing pipelines.
Under this fragmented regime, generation, human review, and production tracking operate within entirely separate applications. Workflows frequently buckle under the immense volume of raw generated material, while completed takes often lack the necessary provenance tracking required to trace assets back to their exact generation source for legal clearance and intellectual property protection. This systemic disconnection represents the single largest roadblock preventing the commercial entertainment and advertising industries from fully integrating artificial intelligence into their core operations.
To bridge this operational chasm, a new generation of tooling has emerged. Platforms designed specifically for this paradigm are beginning to unify the chaotic ecosystem of generative media.
Enter Preview: Bridging Ideation and Execution
Designed to eliminate these structural bottlenecks, Preview has entered the market as an AI-native video creation and production platform tailored specifically for professional media creators. The platform merges a traditional multi-track video timeline with an infinite spatial canvas for early-stage ideation, housing both within a single, collaborative multiplayer workspace.
Production teams utilizing the platform can generate content across virtually any underlying foundational model while simultaneously tracking every individual character, recurring location, and physical prop. Crucially, the system maintains comprehensive records detailing the exact methodology behind the creation of every asset. This architecture allows hybrid productions—those combining traditional cinematography with generative media—to collaborate without friction.
The company is led by co-founders Stefan Fejes and Veljko Tornjanski, who share a personal and professional history dating back to their high school days in Serbia. Their professional backgrounds position them uniquely within the media-tech landscape. Both served as early team members at Veed, a pioneer in accessible video creation tools. Subsequently, at Vizcom, Tornjanski joined as the first employee and ultimately assumed the role of Head of AI, while Fejes directed product development. This shared history has provided them with an intimate understanding of the complex technical nuances inherent to digital video, a deep empathy for the daily frustrations of creative professionals, and a proven track record of delivering polished, enterprise-grade software under accelerated timelines.
Industry Adoption and Early Traction
The demand for specialized, AI-native production environments has translated into rapid early adoption. More than one hundred professional studios have already integrated Preview into their active pipelines. This diverse user base spans traditional advertising agencies crafting campaigns for Fortune 500 consumer brands, specialized AI-first production houses, and veteran Hollywood feature filmmakers.
Feedback from early enterprise deployments indicates that the platform quickly establishes itself as the operational core of a studio’s daily routine, functioning as the primary source of truth from which all downstream inference and asset management operations flow.
Broader Implications for the Media and Entertainment Industry
The wider media landscape is rapidly approaching what industry analysts describe as a video token tsunami. Over the coming years, billions of dollars in computational inference will flow through this market sector, powering the next generation of iconic feature films, episodic series, and proprietary intellectual properties.
Market dynamics suggest that economic and creative value will ultimately accrue to the specific layer where daily work is executed—specifically, the software platform that creative teams open at the start of their working day and close at night, where critical aesthetic decisions are finalized and immutable production records are maintained. By positioning itself as this foundational layer, infrastructure providers in the generative video space are poised to capture significant market share as Hollywood and the broader advertising world undergo a structural technological transition.
