Pollo AI Turns Rough Ideas into Campaigns

Overview

Pollo AI, a technology startup operating in the Asia-Pacific and Oceania region, has launched a new platform designed to democratize high-quality video and image creation. By leveraging the latest generative AI models from OpenAI, the company aims to remove the technical barriers that typically prevent creators and marketers from producing professional-grade campaigns.

The platform now integrates GPT-5.6, GPT-6 Astra, and GPT-Image-2.5, enabling users to transform rough concepts into detailed visual assets and cinematic video advertisements. With a growing user base exceeding 26 million, Pollo AI is positioning itself as the go-to solution for turning bold ideas into finished media without requiring extensive production expertise or expensive studio equipment.

Bridging the Gap Between Idea and Execution

The fundamental premise behind Pollo AI is that creative vision should not be limited by a lack of technical skills or resources. According to Bill Zhu, the founder and CEO, the company seeks to do for video what Canva did for graphic design: simplify the process so that anyone can produce high-quality content. Many creators previously abandoned projects out of frustration, overwhelmed by the complexity of navigating multiple AI tools and model selection processes.

“We want to do for video what Canva did for design. We want to make it easy enough that more people can actually use it, not just the ones who already know how,” explains Bill Zhu.

The platform’s success is largely attributed to its intuitive workflow templates. Initially, the breakthrough came with the introduction of video templates, which now serve as the starting point for 30% of creator sessions. These templates handle trending formats, allowing users to bypass the trial-and-error phase often associated with generative AI. This user-centric approach has allowed Pollo AI to scale rapidly across the technology, media, and entertainment sectors.

As OpenAI’s models have improved, the workflows Pollo envisioned have become more practical. Users can now start from simpler inputs and achieve stronger outputs reliably, spending less time on technical setup and more time on creativity. This shift has made the platform accessible to a broader audience, including small business owners and direct-to-consumer brands who previously lacked the budget for traditional video production.

The Role of OpenAI Models in Pollo’s Workflow

At the heart of Pollo AI’s capabilities is its strategic use of OpenAI’s advanced language and image models. The company has developed a sophisticated model mix that balances reasoning depth, speed, and cost efficiency. For routing and initial processing, Pollo utilizes GPT-5.6, while more complex tasks such as narrative development and scene planning are handled by GPT-6 Astra.

This tiered approach allows the system to match the level of reasoning required to the specific task, based on the user’s prompt. The result is a significant reduction in friction for the end-user. Pollo AI reports that users spend more than 50% less time choosing or switching between models, effectively streamlining the creative process.

GPT-6 Astra plays a crucial role in the newly launched Pollo Agent. This tool provides a fully guided workflow for video creation, interpreting ambiguous creative inputs and developing coherent storylines, scene flows, and scripts. CTO Peter Zhou highlights the model’s ability to understand vague creative directions, noting that GPT-5.6 also performed exceptionally well in handling these nuanced inputs.

For image generation, the platform exclusively uses GPT-Image-2.5. The team selected this model after rigorous testing against real user prompts, evaluating factors such as output quality, stylistic range, speed, and consistency. GPT-Image-2.5 is particularly praised for its ability to work with diverse character types and text integration, making it ideal for creating posters, storyboards, and campaign visuals.

“If we receive any task from a user to generate an image, we always use GPT-Image-2.5. It’s especially good at working with different types of characters and letters,” says Peter Zhou, CTO of Pollo AI.

Real-World Applications and Case Studies

Pollo AI’s platform is being used by a wide variety of customers, from independent content creators to established brands. While the platform is popular for producing micro-dramas featuring both AI and human actors, its marketing tools are gaining traction among businesses looking to accelerate their advertising cycles.

From Product Photos to Cinematic Ads

One of the standout features is the Photo to Video Ads tool within the Marketing Studio suite. This function allows small businesses to convert static product images into engaging short videos in minutes rather than days. A recent case study highlighted a fragrance brand that wanted to create a luxurious ad but lacked the budget for a professional photoshoot.

Using the Photo to Video Ads tool, the brand transformed a simple product photo into a 15-second video. The AI generated velvet textures, warm spotlights, and close-ups of the bottle, culminating in a shot of the fragrance framed against deep red fabric. The result captured the desired mood and luxury aesthetic without the need for physical production.

High-Concept Campaigns on a Budget

The platform also enables brands to execute high-concept campaigns that would traditionally require significant resources. A jewelry brand recently utilized Pollo Agent and GPT-Image-2.5 to create a bold editorial image featuring their statement jewelry on a model seated beside a cheetah.

Despite the surreal nature of the concept, the AI tools managed to frame the scene with dark drapery and warm lighting, ensuring the jewelry remained the focal point. The customer received a finished luxury campaign visual with considerably lower production effort, time, and cost compared to a live studio shoot.

Transforming Product Shots into Imaginative Worlds

Another beverage brand leveraged the platform to reimagine their peach soda advertising. Rather than relying on a standard studio product shot, they used Pollo Agent and GPT-Image-2.5 to create a playful, imaginative scene. The AI transformed a simple bottle image into a snowy miniature landscape complete with a train, lizards, and sparkling droplets. This creative freedom allowed the brand to produce content that stood out in a crowded market.

What’s Next for AI Video

Looking ahead, Pollo AI aims to make AI-generated video a standard part of everyday content creation over the next 12 months. The focus remains on simplifying the journey from idea to asset, ensuring that content is ready to post, test, or integrate into broader campaigns with minimal friction.

Bill Zhu believes that the future of AI in content creation favors products that prioritize repeatability and simplicity. By reducing trial and error and streamlining workflows around underlying models, Pollo AI is working to make high-quality video production accessible to everyone, regardless of their technical background or budget. As OpenAI’s models continue to evolve, Pollo AI expects to deliver even more powerful and intuitive tools for its global user base.