Predict AI

Predict's AI-driven platform revolutionizes ad optimization through sophisticated neuro-technology that processes over 100 billion data points worldwide. By combining advanced AI algorithms with precise eye-tracking systems, Predict offers advertisers instant, scientifically-backed insights to optimize their campaigns. Through attention heatmaps, AI scores, and sophisticated data analysis, their tools help brands understand and improve viewer engagement across both static and video content.

Predict's Core Technology and Approach

To understand how Predict's technology works, it's essential to examine the underlying science and methodology. At the core of their platform is Neurons AI, a sophisticated system that combines over two decades of applied neuroscience expertise with advanced AI algorithms (Neurons AI combines over 20 years of neuroscience expertise with AI to test over 120,000 people worldwide, processing over 100 billion data points).

The company's approach stands out through its rigorous scientific foundation and cutting-edge technology. Every analysis begins with Tobii Pro Glasses 2 and Pro Nano eye-trackers, capturing precise visual data that informs their AI models (Uses Tobii Pro Glasses 2 and Pro Nano eye-trackers, recording X/Y coordinates, movement speed, and direction at 60 times per second for heatmaps). This dense dataset forms the basis of their attention heatmaps, which have been validated through extensive real-world testing to maintain high accuracy levels (The system generates results with over 95% accuracy, based on world-leading consumer neuroscience databases containing high-quality eye-tracking data).

The process is designed to be both efficient and representative. Lab studies typically involve 30-35 participants, while global studies have expanded to 180 individuals across multiple countries (The eye-tracking lab studies use 30-35 participants as the gold standard for lab research, and conducted a global study with 180 participants). These samples have demonstrated consistent accuracy across varying participant numbers, ensuring that results remain reliably representative regardless of scale (Attention heatmaps from 30-35 participants match high-fidelity with those from 100-150 participants).

Neurons' technology then employs sophisticated machine learning algorithms to process this raw data, generating actionable insights for advertisers. The platform can analyze both static images and video content, breaking down complex creatives into discrete elements for detailed examination (Available through a free demo and subscription-based services, including monthly newsletters and educational resources).

From this foundational science emerges a suite of practical tools designed to streamline the creative process. Advertisers can now generate instant heatmaps for their content, with results produced far more quickly than traditional research methods allow (The system generates results in a fraction of the time required for a real study). This capability enables companies to make rapid, data-driven decisions about their ad designs, optimizing elements like color contrast, placement, and messaging to maximize viewer engagement (The platform enables advertisers to create and refine ads without traditional A/B testing, optimizing campaign performance with scientifically validated metrics).

Key Features and Platform Capabilities

The platform combines AI with cognitive neuroscience to provide attention heatmaps, instant data-driven decisions, and campaign optimization metrics. Neurons AI, the foundation of their technology, combines over two decades of neuroscience expertise with advanced AI algorithms, processing more than 100 billion data points from over 120,000 people worldwide.

Attention Heatmaps and Data Collection

The system utilizes Tobii Pro Glasses 2 and Pro Nano eye-trackers, recording eye movements at 60 times per second to capture X/Y coordinates, movement speed, and direction. These data points form the basis of attention heatmaps, which have demonstrated accuracy exceeding 95% when compared to actual eye-tracking data from 100-150 participants.

Instant Data-Driven Decisions

By analyzing these extensive datasets through sophisticated machine learning algorithms, the platform enables instant decision-making that bypasses traditional A/B testing methods. The technology can process both static images and video content, breaking down complex creatives into discrete elements for detailed examination.

Campaign Optimization Metrics

The platform generates several key metrics to optimize campaign performance. Attention heatmaps provide real behavioral insights into audience reactions, while new attention scores predict viewing time, audience reach, and brand performance. These scores, currently tested and refined through rigorous validation methods, offer actionable insights for refining both image and video content.

Research and Validation

Neurons' methods and metrics are grounded in rigorous scientific validation. Their extensive database, one of the world's largest containing over 20,000 participants across various industries and formats, supports their machine learning models through comprehensive testing and validation processes.

Neurons Tools and Technology

Neurons AI technology combines over 20 years of neuroscience expertise with advanced AI algorithms, processing more than 100 billion data points from over 120,000 participants worldwide (Neurons AI combines over 20 years of neuroscience expertise with AI to test over 120,000 people worldwide, processing over 100 billion data points). This extensive dataset serves as the foundation for the company's sophisticated analysis methods.

The platform utilizes Tobii Pro Glasses 2 and Pro Nano eye-trackers to capture precise visual data at 60 times per second. Each recording captures X/Y coordinates, movement speed, and direction, with these data points grouped into "fixations" to determine actual visual engagement (Uses Tobii Pro Glasses 2 and Pro Nano eye-trackers, recording X/Y coordinates, movement speed, and direction at 60 times per second for heatmaps).

Neurons processes both static images and video content through over 100 trained machine learning models (Processes over 100 billion data points of brain responses and trains more than 100 machine learning models). Their methodologies ensure robust scientific validation through comprehensive testing across multiple industries and formats, with one of the world's largest high-quality eye-tracking databases containing over 20,000 participants from diverse backgrounds.

The platform offers several testing methods including A/B testing, pre-testing, eye-tracking, and neuromarketing approaches. These tools enable brands to test marketing assets at high speed while measuring and improving advertising effectiveness (Enables brands to test marketing assets at top speed and supports measuring and improving advertising effectiveness).

Scientific Validation and Accuracy

Neurons has developed an AI capable of predicting visual attention with high fidelity, achieving over 95% accuracy (The system generates results with over 95% accuracy, based on world-leading consumer neuroscience databases containing high-quality eye-tracking data). Statistical analyses demonstrate that attention heatmaps from 30-35 participants match the high-fidelity of those from 100-150 participants, confirming the representativeness of their sample size (Statistical analyses show that attention heatmaps from 30-35 participants match high-fidelity with those from 100-150 participants).

The company's extensive database contains over 20,000 participants exposed to diverse stimuli, including social media ads, TV viewing, newspaper reading, and retail experiences across multiple industries and formats (This includes food & beverage, financial services, construction, telecom, and more, across print ads, commercials, web pages, e-commerce, products, packaging, retail, and apps). Through rigorous testing and validation, they have created statistically equivalent attention predictions using only a few seconds of image upload, matching the accuracy of actual 5-second eye-tracking data from 100-150 participants (Uploading an image now provides a heatmap statistically equivalent to one built on actual eye-tracking data from 100-150 people viewing the image for 5 seconds).

AI Score Metrics and Applications

The attention scores developed by Neurons combine several sophisticated metrics to provide advertisers with precise insights into viewer engagement. For static images, two primary scores have been implemented: Time Spent and Percentage Seen. These metrics quantify viewer engagement with specific areas of an image during a 5-second exposure period, allowing advertisers to understand which elements capture attention most effectively.

Video content analysis builds upon these foundations with additional metrics designed to evaluate brand presence and performance. Neurons' Availability score measures the duration during which a brand remains visible in a video, while the Relative Attention score assesses the level of engagement received during those moments of visibility. These metrics provide advertisers with comprehensive insights into how their brand performs within various video creatives.

The scores generated by Neurons undergo rigorous scientific validation through extensive testing methods. Their world-leading consumer neuroscience database contains over 20,000 participants exposed to diverse stimuli across multiple industries and formats. This robust foundation enables the company to generate attention heatmaps with high accuracy using only a few seconds of image upload, matching the precision of actual eye-tracking data from 100-150 participants viewing the image for 5 seconds.

The development process behind these scores involves training over 100 machine learning models using Neurons' extensive dataset of over 100 billion data points. Each model is validated through rigorous testing protocols that ensure scientifically sound predictions. The platform processes data through sophisticated algorithms that group eye movement coordinates into "fixations" to determine actual visual engagement, with recording precision reaching 60 times per second using Tobii Pro Glasses 2 and Pro Nano eye-trackers.

These advanced metrics offer several advantages over traditional advertising evaluation methods. By precisely quantifying viewer attention and engagement levels, advertisers can make informed decisions about creative elements that most effectively capture target audience interest. For video content creators, the Availability and Relative Attention scores provide actionable insights into brand presence duration and performance levels, enabling strategic modifications to increase engagement. Additionally, the ability to quickly generate these insights through AI processing allows for efficient campaign optimization without the need for extensive A/B testing methodologies.

Data Collection and Analysis Methods

The data collection process begins with Tobii Pro Glasses 2 and Pro Nano eye-trackers, which capture precise visual data at 60 frames per second. Each recording captures X/Y coordinates of eye movements, along with movement speed and direction, which are later grouped into "fixations" to determine actual visual engagement with specific elements in the image or video.

For comprehensive analysis, Neurons relies on one of the world's largest single databases of high-quality eye-tracking data, containing over 20,000 participants from diverse backgrounds. This extensive database includes exposure to various consumer-related stimuli across multiple industries and formats, ensuring comprehensive validation of their predictive models.

Training over 100 machine learning models on their dataset of over 100 billion data points enables the company to generate highly accurate predictions with their AI technology. Each model undergoes rigorous validation through comprehensive testing protocols, with results demonstrating consistent accuracy across different sample sizes. Statistical analyses have shown that heatmaps generated from just 30-35 participants match the high-fidelity of those from 100-150 participants, confirming the representativeness of their typical sample size.

The company's methodology ensures robust scientific validation through extensive testing across multiple industries and formats, including food & beverage, financial services, construction, telecom, retail, e-commerce, and various ad formats such as print ads, commercials, web pages, and apps. Through this comprehensive approach, Neurons has developed AI formulas that can generate statistically equivalent attention predictions using only a few seconds of image upload, matching the precision of actual eye-tracking data from 100-150 people viewing the image for 5 seconds.