Here, we innovate the future of advertising through AI.
Introducing AdSora, the world’s first text-to-video generation AI model specifically designed for advertisers.
AdSora is specifically designed to turn product photos into dynamic video ads, leveraging its advanced contextual understanding and emotional precision. By analyzing real-life ad data and user behaviors, AdSora creates videos that resonate deeply with target audiences, making your product visuals not just seen but felt.
Built with global advertising standards in mind, AdSora ensures all generated content is compliant and brand-safe. It produces up to 16-second 1080p HD videos with professional-grade effects, setting a new standard in video ad production quality.
Introducing the world’s first large language model trained with cross-platform high-converting ad texts to deliver unparalleled conversion rates to advertisers.
AdLLM is trained on a dataset of over 1.5 billion tokens of high conversion rate ad texts. This vast amount of data enables AdLLM to generate conversion-focused ad texts, including primary texts, descriptions, and headlines, with unparalleled conversion rates. AdLLM’s performance was tested by AdPerformance Benchmark, which measures an LLM’s ability to predict the click-through rate of a given ad text. AdLLM predicted the performance of each ad text with over 90% accuracy—60% higher than ChatGPT and at least 70% higher than any other model on the market, such as Gemini.
AdLLM’s training dataset is compiled from first-party data, encompassing every text generated by AdCreative.ai for its 2,000,000 users over the past two and a half years. This extensive dataset, the largest of its kind, includes data from eight major advertising platforms: Facebook, Instagram, Google, YouTube, LinkedIn, Microsoft, Pinterest, and TikTok. It contains 840 million lines of instructions, ad texts, target audiences, and performance metrics such as click-through rates. This comprehensive information enables AdLLM to understand what works on each platform and to predict and craft high-conversion ad texts for any niche, business, or platform.
Generate conversion-focused ad creatives in a matter of minutes, while staying on brand.
While everyone focuses on diffusion-type image rendering, we generate ready-to-use ad creatives in vector format.
Generating vector images uses CPU instead of GPUs, which gives it unbelievable speed and efficiency.
The first LLM, trained with high-conversion-rate video compositions. Guides our proprietary video generator to create ready-to-use ads.
The very first of its kind, an LLM trained with proprietary high-conversion-rate video composition data, instructing our internal video engine to create ready-to-use ads
A unique pipeline that scans and understands the complete brand guidelines from a single website link, allowing all generated videos to be on-brand as if they were made internally.
A state-of-the-art video generation engine that can generate millions of videos per second, thanks to its unique approach that renders video outputs on demand.
A fine-tuned diffusion model with a unique pipeline that turns product images into ultra-realistic photoshoots and ready-to-use ads in a matter of seconds.
Fine-tuned Stable Diffusion Model that understands the given product, generates a composition for it, and inserts the product with accurate lighting, shadow, and reflection.
A proprietary rendering engine that turns in to high-conversion-rate, branded and ready to use ads in a matter of seconds.
Vectorial design and an engine written in a low-level programming language (Rust) make it incomparably fast, able to produce millions of ready-to-use ads per second.
A unique pipeline of a proprietary Object Detection Model, combined with a Saliency Model that uses a Convolutional Neural Network (CNN) to accurately analyze and predict ad performance.
Our in-house trained component detection model turns any given ad creative into over 140 data points in seconds. This is combined with a Saliency Model that accurately predicts eye movement on the given ad visual.
Using the Component Detection and Saliency outputs, our Convolutional Neural Network predicts the performance of a given ad creative with high accuracy.
An in-house trained Time Series Model that predicts ad fatigue, combined with a fine-tuned LLM capable of generating high-conversion-rate ad texts and complex target audiences.
Ad fatigue occurs when a target audience sees the same creatives so often that they become unresponsive to them.
Our in-house trained Time Series Machine Learning Model accurately predicts ad fatigue before it happens, which gives the advertiser time to update the creatives.
An LLM that is fine-tuned with high-conversion-rate copywriting frameworks and our proprietary ad data, capable of writing results-bringing ad texts in several languages and tones.
One of a kind LLM that is trained with our first-party high-conversion-rate target audience dataset, able to generate platform-specific target audiences that bring results.