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 Steve King. 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 24Haymarket, Guinness Ventures, Foresight Group, 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), CreativeX (Platform integration), Major blue-chip clients including Nestlé, PepsiCo, Unilever, Coca-Cola, and L'Oréal (Strategic validation partners)
Notable customers
Nestlé, PepsiCo, L'Oréal, Unilever, Coca-Cola, 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 Steve King
Steve King is the co-founder and CEO of Dragonfly AI. Previously, he co-founded Black Swan Data, an AI-powered market trends prediction company. He also served as an Advisory Board Member at BT Group, bringing deep expertise in AI, data science, and scaling technology businesses.
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Official website: https://dragonflyai.co/