Leadberry
Transform anonymous website traffic into high-intent B2B sales pipelines.
Dragonfly AI is a sophisticated visual analytics platform that utilizes biological vision models to predict where human attention will land on any given creative asset within the first sub-second of exposure. Unlike traditional eye-tracking which requires human participants and long lead times, Dragonfly AI employs a 'Human Visual System' (HVS) model, simulating how the brain processes contrast, color, and density. By 2026, the platform has solidified its position in the enterprise stack by integrating deeply into the CI/CD pipeline for digital assets, providing instant 'Share of Attention' (SoA) scores. The architecture is designed for high-velocity environments, allowing brands to optimize content across e-commerce, OOH, and social media before it goes live. Its competitive advantage lies in its proprietary algorithm that balances bottom-up (stimulus-driven) and top-down (goal-driven) attention triggers, making it a critical tool for Performance Marketers and Creative Directors aiming to maximize ROAS in an increasingly fragmented attention economy.
Uses biological vision algorithms to simulate pre-attentive processing based on contrast, orientation, and color luminance.
Transform anonymous website traffic into high-intent B2B sales pipelines.
AI-Powered Fraud Detection and Audience Authenticity Auditing for Influencer Marketing.
Automated marketing reports for agencies and brands seeking high-speed visualization.
Real-time business performance dashboards for high-growth teams and agencies.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A proprietary metric that calculates the percentage of total visual attention captured by specific elements (AOIs) within a frame.
Frame-by-frame analysis of temporal and spatial attention shifts in video content.
Automated scanning of e-commerce product pages to determine product visibility against competitors.
Visualizations that obscure non-salient areas, highlighting only what the viewer is likely to see.
Predicts the sequential order of visual fixations as a user navigates a layout.
Comparison module that pits your assets against industry-standard 'attention' benchmarks.
Low conversion rates despite high traffic due to visual clutter.
Registry Updated:2/7/2026
Push live.
New product packaging failing to stand out on physical store shelves.
High drop-off in the first 3 seconds of video ads.