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Dragonfly AI

Category: AI in Marketing

A predictive visual analytics platform that uses neuroscience-informed AI to accurately predict what captures human attention in any visual context, from digital ads to physical retail shelves. Dragonfly AI was founded in 2018. The company is led by Richard Saggers. Based in London, United Kingdom. Team size: 11-50. Total funding raised: $10.8M. Latest round: Series A (€5.7M, Jan 2024). Key investors include Guinness Ventures, Downing Ventures, Capita PLC, Practical Venture Capital.

Founded
2018
Headquarters
London, United Kingdom
Team size
11-50
Total funding
$10.8M

Value proposition

Provides instant, objective insights into 'share of attention,' allowing brands to optimize creative performance and shelf impact without the cost or time requirements of traditional human eye-tracking studies.

Products and solutions

Dragonfly AI Studio (Centralized web-based analysis platform), Browser Extension (Real-time optimization for web and e-commerce content), iOS App (For capturing and analyzing real-world retail environments and out-of-home media), Desktop App (High-performance analysis for video and high-resolution assets), API Integration (Automated attention scoring for enterprise workflows)

Unique value

Utilizes 'Biological AI' based on 20 years of neuroscience research, which simulates the human visual system's 'bottom-up' processing rather than relying on biased historical datasets or traditional machine learning.

Target customer

Global CPG (Consumer Packaged Goods) brands, retail marketing executives, creative agencies, and e-commerce specialists.

Industries served

Consumer Packaged Goods (CPG), Retail, Advertising & Marketing, E-commerce, Pharmaceuticals & Healthcare

Technology advantage

Offers zero-latency, hardware-agnostic predictive heatmaps that work across the entire omnichannel journey (digital, video, and physical), enabling data-driven creative decisions before content is even published.

How they differentiate

Dragonfly AI utilizes 'Biological AI' based on 20 years of neuroscience research from Queen Mary University of London. Unlike competitors that rely on deep learning trained on historical (and potentially biased) datasets, Dragonfly simulates the human visual system's 'bottom-up' pre-attentive processing to predict attention with zero latency.

Main competitors

Vizit, Neurons, EyeQuant

Key partnerships

Queen Mary University of London (Academic & Research partner), WPP / Grey (Agency network partnerships), Major blue-chip clients including Nestlé, PepsiCo, L'Oréal, and GSK (Strategic validation partners)

Notable customers

Nestlé, PepsiCo, L'Oréal, GSK, Diageo, Sony

Major milestones

Established strategic R&D partnership with Queen Mary University of London, Launched iOS app for real-time retail shelf and OOH (Out-of-Home) analysis, Closed €5.7M Series A to accelerate international expansion and US market entry, Integrated with major agency networks including WPP and Grey

Growth metrics

Estimated ARR between $4M - $6M; scaled to support over 50 global blue-chip enterprises.

Market positioning

Enterprise-grade predictive visual analytics leader for the 'Attention Economy,' specifically targeting CPG and retail sectors.

Geographic focus

Headquartered in London (UK) with a primary expansion focus on North America and Europe.

Patents and IP

Proprietary algorithms developed in collaboration with Queen Mary University of London (QMUL); intellectual property is centered on visual saliency modeling and pre-attentive processing.

About Richard Saggers

Richard is a seasoned executive with over 25 years of experience in digital media, telecommunications, and marketing technology. Before joining Dragonfly AI, he spent over a decade at Vodafone, where he served as the Global Head of Mobile Advertising, leading the company's advertising strategy across multiple markets. He also held senior leadership positions at 21st Century Fox and served as a Director at TagPoints, bringing a wealth of experience in scaling technology-driven media businesses.

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