Sequoia Capital is betting on a Serbian startup that's reimagining how creative professionals produce video content using artificial intelligence. Preview, founded by former Veed and Vizcom team members Stefan Fejes and Veljko Tornjanski, has raised $12 million to date with Sequoia leading its seed round. The company is building an AI-native workspace that combines video generation, ideation, review, and production tracking in a single platform, signaling a major shift in how creative work flows from traditional production pipelines to AI-generated content.

The startup's traction speaks to real market demand. More than 100 studios are already using Preview's platform, including agencies working with Fortune 500 brands and Hollywood filmmakers. This adoption rate is significant for a company still in its early stages, suggesting that creative professionals are actively seeking tools that integrate AI capabilities into their existing workflows rather than forcing them to adopt entirely new processes.

Why Is Sequoia Betting on AI Video Infrastructure?

Sequoia's investment thesis reveals something important about where venture capital sees the next wave of AI opportunity. Rather than funding another large language model or general-purpose AI assistant, the firm sees Preview as a potential "core infrastructure layer for the next generation of AI-powered video production." This distinction matters because it suggests that the most valuable AI companies in the coming years may not be the ones building foundational models, but rather those building the tools that make those models useful for specific industries.

The video production industry is particularly ripe for this kind of transformation. Traditional workflows involve multiple tools, teams, and approval cycles that can stretch production timelines. By consolidating generation, ideation, review, and tracking into one platform, Preview is addressing a real pain point. As more creative work shifts from traditional production pipelines to AI-generated content, having unified infrastructure becomes increasingly valuable to studios trying to maintain quality while accelerating output.

How Is Preview Positioning Itself in the Competitive AI Landscape?

• Unified Workflow: Preview combines video generation, ideation, review, and production tracking in a single platform, eliminating the need for creative teams to switch between multiple tools and losing context between steps.
• Enterprise Adoption: The platform already serves over 100 studios, including agencies working with Fortune 500 brands and Hollywood filmmakers, demonstrating real-world validation beyond early adopters.
• Infrastructure Play: Sequoia views Preview as foundational infrastructure rather than a consumer application, suggesting the company is positioned to become embedded in professional creative workflows across the industry.

Preview's emergence is part of a broader trend in venture capital toward funding specialized AI tools for specific industries. Rather than betting on general-purpose AI models, investors are increasingly backing companies that take those models and wrap them in domain-specific interfaces and workflows. This approach has proven successful in other sectors, from legal tech to healthcare, where the real value comes not from the underlying AI but from how it's packaged for professionals who need to integrate it into existing processes.

The timing of this investment also reflects broader market dynamics. In July 2026 alone, 40 companies joined the unicorn board (companies valued at $1 billion or more), the highest monthly total in more than four years. Among the leading sectors were AI orchestration, multimodal AI, and robotics, indicating that investors are actively deploying capital across the AI ecosystem, not just at the model layer.

What Does This Mean for the Broader AI Investment Landscape?

Preview's funding is noteworthy because it comes from Central and Eastern Europe, a region that's increasingly attracting venture capital attention for AI and technology innovation. The investment reflects a shift in how the venture ecosystem views geographic diversity in AI development. Rather than concentrating all AI talent and funding in Silicon Valley, investors are recognizing that exceptional teams building valuable infrastructure can emerge from anywhere.

The startup's focus on video production also highlights a specific gap in the current AI market. While large language models and image generation tools have received significant attention and funding, the video generation and production space remains less saturated. This creates an opportunity for companies like Preview to establish themselves as the default infrastructure layer before larger players move in to consolidate the space.

For creative professionals watching these developments, the message is clear: AI tools are moving from experimental add-ons to core infrastructure. Studios that adopt unified AI-native platforms early may gain significant competitive advantages in speed and cost efficiency. However, the quality and creative control questions remain open, which is why Preview's emphasis on review and approval workflows within its platform is strategically important. It acknowledges that AI generation is only part of the equation; human oversight and creative direction remain essential to professional production.