Dragonfly AI

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Dragonfly AI

Dragonfly AI Competitive Intelligence & Landscape

dragonflyai.co ·

Overview

Dragonfly AI Overview

Dragonfly AI (dragonflyai.co) is a leading company specializing in neuroscience-led predictive AI for global brands, offering a creative testing solution to maximize creative performance across various channels. Their platform provides real-time insights and scientifically proven AI-driven recommendations, enabling brands to launch effective creative that delivers results. The company's core offering is its patented biological algorithm, developed over a decade of research in partnership with Queen Mary University London, which mimics how the human brain responds to visuals.

Dragonfly AI offers several key products and services, including the Studio3 Creative Insights Platform and a Creative data API. These tools are designed to help brands optimize visual content for in-store shelves, digital ads, social media, packaging, and e-commerce. Their platform aims to deliver maximum creative impact by providing insights into attention, memory, and emotion, with the goal of improving response rates by up to 41%.

The company targets a broad market, including Shopper Marketing, Consumer Insights, Ecommerce Marketing, and Agencies, serving large CPG brands.

Steve King is the Co-founder and CEO of Dragonfly AI. While the exact founding year isn't explicitly stated, the company emphasizes "over a decade of visual neuroscience" research, suggesting a significant period of development.

Dragonfly AI's mission is to help businesses unlock their creative edge by making confident, data-backed creative decisions. Their technology focuses on eliminating speculation by providing real-time insights into how people instinctively respond to visuals, transcending traditional machine learning and psychology with their unique biological algorithm. The company recently secured over £5 million in new investment from 24Haymarket, Guinness Ventures, and Foresight, indicating strong growth and investor confidence in its AI-powered creative testing solutions.

Competitors

Dragonfly AI Competitors

Dragonfly AI, an England-based creative intelligence and optimization platform, specializes in maximizing creative performance across various channels using a patented biological algorithm developed in partnership with Queen Mary University London, which predicts pre-cognitive human responses to visuals. This approach ensures universal, unbiased predictions. In comparison, Vizit stands out as a direct competitor, offering an AI-powered creative intelligence platform that relies on audience benchmarking. While both aim to optimize creative content, Dragonfly AI differentiates itself by focusing on the universal aspects of human visual attention, whereas Vizit's methodology is more audience-specific, potentially leading to different recommendations for varied target demographics.

Alpha.One is identified as a top competitor to Dragonfly AI [https://www.cbinsights.com/company/dragonfly-ai/alternatives-competitors]. Although specific differentiators and detailed comparisons are not readily available in the provided text, its inclusion as a direct competitor suggests it also operates within the creative testing and performance insights domain. The competitive landscape for Dragonfly AI indicates that these companies vie for market share among brands and agencies seeking to enhance their creative impact.

Another significant competitor is EyeQuant, which, like Dragonfly AI, focuses on predictive visual attention. While the exact overlap in features and pricing is not detailed, the competitive analysis places EyeQuant in direct contention with Dragonfly AI [https://www.cbinsights.com/company/dragonfly-ai/alternatives-competitors]. Given Dragonfly AI's emphasis on a scientifically proven biological algorithm and real-time insights, EyeQuant likely offers similar or alternative AI-driven solutions for creative optimization.

Feng-GUI specializes in AI-powered neuromarketing analytics, providing insights for optimizing visual content to capture and retain consumer attention [https://www.cbinsights.com/company/dragonfly-ai/alternatives-competitors]. This positions Feng-GUI as a strong competitor to Dragonfly AI, as both leverage AI to understand how visuals perform.

Dragonfly AI's focus on a patented biological algorithm mimicking the human brain's response to visuals suggests a core technological similarity, though Feng-GUI's broader neuromarketing analytics might encompass a wider range of applications beyond just creative testing.

Dataiku, a venture capital-backed company, is also listed as a competitor to Dragonfly AI [https://pitchbook.com/profiles/company/436841-29]. While Dragonfly AI is a specialized AI-based predictive analytics solution for creative performance, Dataiku is more broadly known for its data science and machine learning platform. This suggests that Dataiku might serve as an indirect competitor, offering a comprehensive data platform that could be customized for creative analytics, rather than being solely focused on creative testing like Dragonfly AI.

Alternatives

Dragonfly AI Alternatives

Product & Pricing

Dragonfly AI Product and Pricing Intelligence

Dragonfly AI offers a robust product suite focused on creative testing and performance insights, utilizing a patented biological algorithm developed with Queen Mary University London to predict visual attention. The core of their offering is Studio 3, an AI-powered platform for real-time analysis of visual content across various channels including digital ads, packaging, in-store displays, and social media. This platform provides insights into Attention, Memory, and Emotion, with Persuasion and Comprehension features planned for future release, and includes a Copilot tool for AI-powered optimization recommendations, with analyses completing in approximately 45 seconds.

While specific pricing details are not publicly available, Dragonfly AI outlines a flexible plan structure to accommodate different team needs, including Light, Teams, and Enterprise tiers. The "Light" plan is described as being for individual users, offering real-time AI-powered creative testing. The "Teams" plan aims to empower entire teams with Dragonfly AI's capabilities, while the "Enterprise" plan is designed for global brands requiring comprehensive creative quality support. Each plan is tailored to help users test, refine, and optimize creative assets with confidence, and interested parties are encouraged to book a demo to explore the options.

Dragonfly AI's pricing model focuses on scalability and meeting diverse organizational requirements. All plans provide access to powerful tools to enhance creative performance, drive results, and optimize visual content for increased ROI. The company emphasizes a commitment to continuous research inspired by human biology and visual neuroscience, ensuring that its platform remains at the forefront of creative effectiveness analysis.

Hiring & Layoffs

Dragonfly AI Hiring and Layoffs

Dragonfly AI (dragonflyai.co) has demonstrated a consistent focus on strategic hiring to build out its specialized teams, particularly following periods of investment. Initially, key roles such as chief scientist, sales VP, and client director were filled to form the foundation of the company [dragonflyai.co/about-new]. This early talent acquisition focused on establishing expertise in core areas like R&D, sales, and customer success.

Following further investment, Dragonfly AI expanded its talent pool significantly, adding teams for product, marketing, and finance, while also growing its R&D and customer success departments [dragonflyai.co/about-new]. This indicates a company strategy geared towards scaling operations and enhancing capabilities across the board, from product development and marketing outreach to customer support.

Dragonfly AI prides itself on a team comprising researchers, engineers, designers, marketers, and makers, emphasizing a blend of industry experience with science-backed technology [dragonflyai.co/team]. Notable individuals include Co-founder and CEO Steve King and Chief Scientist & Inventor Hamit Soyel [dragonflyai.co/about]. The company's continuous research, inspired by human biology and visual neuroscience, is a testament to its scientifically driven organizational structure [dragonflyai.co/our-science]. The consistent growth and emphasis on specialized roles signal a robust and expanding company committed to innovation in creative testing and performance insights.

Leadership

Dragonfly AI Management and Leadership Team

Dragonfly AI is led by a team that blends industry experience with science-backed technology, focusing on transforming neuroscience into actionable recommendations for creative performance. The leadership team includes co-founder and CEO Steve King, who brings expertise in artificial intelligence, data science, and behavioral research to guide the company's mission [dragonflyai.co/team/steve-king].

Key members of the leadership team also include Hamit Soyel, the Chief Scientist and Inventor, who is responsible for creating Dragonfly AI’s patented algorithm and is a Research Fellow at Queen Mary University of London [dragonflyai.co/team/hamit-soyel].

James Harvey serves as the Chief Product & Technology Officer, driving innovation and development in Dragonfly AI's creative testing solutions with his background in SaaS, AI, engineering, and CPG [dragonflyai.co/team/james-harvey]. Another co-founder, David Mitchell, is also part of the leadership structure [dragonflyai.co/about].

The company has also built out its team with strategic hires in various departments.

Miranda Mapleton is the Strategy Director, leveraging her extensive marketing experience from client-side roles at Mars and PepsiCo [dragonflyai.co/team/miranda-mapleton].

James Hoblyn leads new business growth as the VP New Business [dragonflyai.co/team/james-hoblyn], while Jessica Litherland is the VP Account Management, focusing on optimizing creative performance for clients [dragonflyai.co/team/jessica-litherland].

Shelley Martin serves as the Head of Marketing, specializing in B2B and performance marketing within the AI-driven creative testing space [dragonflyai.co/team/shelley-martin].

Dragonfly AI has continuously expanded its team since its inception, including establishing teams for product, marketing, finance, R&D, and customer success, underscoring its commitment to a thriving and diverse workforce [dragonflyai.co/about-new]. The team is dedicated to helping brands make better creative decisions, powered by scientifically proven AI-driven recommendations [dragonflyai.co/team].

Financials

Dragonfly AI Financial Performance, Fundraising, M&A

Dragonfly AI has demonstrated strong financial activity through multiple funding rounds. The company secured its initial investment in 2019 [dragonflyai.co/about-new]. This was followed by a significant £3 million Series A funding round led by Guinness Ventures, which enabled substantial growth in its marketing, product, customer success, and finance teams, and also led to the appointment of a new chairman of the board [dragonflyai.co/about][dragonflyai.co/about-new]. Foresight Ventures, previously Downing Ventures, also contributed to early investments [dragonflyai.co/about].

More recently, Dragonfly AI announced securing over £5 million in new investment [dragonflyai.co/resources/news/dragonfly-ai-secures-5m-new-investment-from-24haymarket-guinness-ventures-and-foresight]. This round was led by 24Haymarket, with additional funding from Guinness Ventures, Foresight, and other investors [dragonflyai.co/resources/news/dragonfly-ai-secures-5m-new-investment-from-24haymarket-guinness-ventures-and-foresight]. This investment was publicly announced in January 2026 [dragonflyai.co/resources/news/dragonfly-ai-secures-5m-new-investment-from-24haymarket-guinness-ventures-and-foresight?hs_amp=true].

While specific revenue figures are not disclosed, Dragonfly AI highlights its impact on client financial performance, stating that its insights have helped brands improve response rates by up to 41% [dragonflyai.co/]. A case study notes that Dragonfly AI empowered a client to achieve a 40% increase in sales for a £700 million brand, representing approximately £7 million in annualized revenue [dragonflyai.co/resources/case-studies/optimizing-packaging-to-drive-visibility-and-sales-1]. This demonstrates the financial value and return on investment its platform provides to its users.

In terms of financial health indicators, Dragonfly AI achieved SOC 2 Type II compliance in December 2023, under American Institute of Certified Public Accountants (AICPA) standards [dragonflyai.co/resources/news/securing-trust-and-excellence-dragonfly-ai]. This accreditation signifies a commitment to robust security measures and data privacy, which can bolster trust among enterprise clients and contribute to long-term financial stability and growth.

Partnerships

Dragonfly AI Partnerships, Clients and Vendors

Dragonfly AI forges significant partnerships to integrate its predictive attention intelligence into broader creative ecosystems. Notably, Dragonfly AI has partnered with CreativeX to offer a comprehensive creative quality assurance solution, combining Dragonfly AI's effectiveness insights with CreativeX's platform-readiness checks [dragonflyai.co/faqs]. Another key partnership is with Mintel, where Dragonfly AI's predictive attention intelligence is integrated directly into Mintel’s Global New Products Database (GNPD) to provide packaging performance scores [dragonflyai.co/resources/news/dragonfly-ai-and-mintel-partner-to-help-brands-move-from-product-insight-to-packaging-that-wins?hs_amp=true].

Dragonfly AI's platform, DF Connect, enables clients to seamlessly integrate its insights into their existing creative ecosystems through its Creative Data API. This allows for connections with industry-leading vendors and systems such as Digital Shelf Analytics platforms (DSAs) and Product Information Management systems (PIMs) [dragonflyai.co/df-connect-partner]. This strategic integration allows for smarter creative decisions at scale across various touchpoints.

The company serves a roster of major enterprise clients, including some of the world's largest CPG brands and agencies. Case studies highlight work with prominent brands such as Danone, where Dragonfly AI helps optimize digital shelf capabilities, particularly for platforms like Amazon and Walmart [dragonflyai.co/abm-danone]. Other notable clients include Arla, which leveraged Dragonfly AI to improve hero pack images and increase conversion rates, and the team behind Hansaplast, Elastoplast, and CURITAS for analyzing PoS campaign materials [dragonflyai.co/resources/case-studies/driving-e-comm-sales-through-hero-image-optimization] [dragonflyai.co/resources/case-studies/data-drives-faster-decision-making].

These partnerships and client engagements demonstrate Dragonfly AI's commitment to delivering real-time, scientifically proven, AI-driven recommendations across any creative and channel, maximizing performance for its diverse client base.

Events

Dragonfly AI Event Participations

Dragonfly AI actively participates in and hosts a variety of events, including industry conferences, trade shows, and webinars, to share insights on AI's impact on creative performance and retail. In September 2024, the team is set to attend DMWF New York, where CEO Steve King and Cecilia Dones will present on "Crafting Seamless Customer Experiences: Optimizing the Omnichannel Journey" on September 27th. Additionally, they will be participating in the 12th annual Beauty Trends & Innovations conference in London on September 25th, joining a panel discussion alongside brands like Primark and Shiseido.

Looking back at May 2024, Dragonfly AI's CEO Steve King was a panelist at the DigitalX event in London, discussing "Harnessing AI: From Fear to Better Fortunes." In July 2024, the company engaged with the marketing community at MAD//Fest, an event known for featuring speakers from major brands like L'Oréal and Unilever. This marks their second consecutive year attending MAD//Fest, having also been present in 2023.

Dragonfly AI also extends its reach through webinars, offering both live sessions and recordings on their website. Past recorded webinars have covered topics such as "The Truth about New AI" and "How AI will impact the future of creativity" in the CPG and FMCG sectors. They also host the "Game of Attention" monthly podcast, featuring expert discussions.

Furthermore, Dragonfly AI is keen on fostering industry connections and showcasing its innovations through strategic missions. They participated in the London & Partners Grow London Retail Tech and Trades Mission to NYC, a significant opportunity to connect with professionals in the retail technology sector. This highlights their commitment to showcasing their pioneering technology on a global stage.

In September 2023, Dragonfly AI was part of the Generative AI for the Creative Industries summit at the Emirates Stadium in London, an event focused on amplifying creativity and commercial success through AI. These engagements underscore Dragonfly AI's dedication to thought leadership and collaboration within the evolving landscape of AI and creative industries.

Frequently Asked Questions

What is Dragonfly AI's core technological differentiation compared to its competitors?

Dragonfly AI differentiates itself through its patented biological algorithm, developed in partnership with Queen Mary University London. This algorithm mimics how the human brain responds to visuals, providing universal, unbiased predictions of pre-cognitive human responses. This contrasts with competitors like Vizit, which uses audience benchmarking, or Attention Insight, which relies on deep learning trained on eye-tracking datasets, potentially introducing data bias.

How does Dragonfly AI's recent £5 million investment affect its strategic direction or operational capacity?

The recent £5 million investment, announced in January 2026 and led by 24Haymarket with participation from Guinness Ventures and Foresight, signals strong investor confidence and will likely fuel further growth. This capital infusion, following an earlier £3 million Series A round, suggests Dragonfly AI is scaling its operations, enhancing product development, and expanding its market reach, particularly in comprehensive creative testing solutions for global brands.

What is the strategic implication of Dragonfly AI's continuous participation in industry events and its 'Game of Attention' podcast?

Dragonfly AI's consistent participation in industry events like DMWF New York, Beauty Trends & Innovations, and MAD//Fest, along with hosting its 'Game of Attention' podcast, strategically positions the company as a thought leader in AI's impact on creative performance. These engagements allow Dragonfly AI to share insights, showcase innovations, and foster industry connections, reinforcing its expertise and visibility within the AI and creative sectors.

What does Dragonfly AI's hiring pattern, particularly in product, marketing, and finance, indicate about its growth strategy?

Dragonfly AI's hiring pattern, which includes expanding teams for product, marketing, and finance following investment rounds, indicates a clear strategy for scaling operations and enhancing capabilities. This expansion beyond core R&D and sales suggests a focus on comprehensive growth, aiming to mature its product offerings, amplify market presence, and strengthen internal financial management to support broader strategic initiatives.

How does Dragonfly AI's partnership with Mintel and CreativeX strengthen its market position?

Dragonfly AI's partnerships with Mintel and CreativeX significantly strengthen its market position by integrating its predictive attention intelligence into broader creative and product development ecosystems. The Mintel partnership embeds packaging performance scores directly into the Global New Products Database, while the CreativeX collaboration offers a comprehensive creative quality assurance solution. These integrations expand Dragonfly AI's reach, validate its technology, and provide clients with more holistic creative and market insights.

What does the achievement of SOC 2 Type II compliance in December 2023 signify for Dragonfly AI's target market and client acquisition?

Achieving SOC 2 Type II compliance in December 2023 signifies Dragonfly AI's commitment to robust security measures and data privacy. This accreditation is crucial for building trust with enterprise clients, particularly large CPG brands and agencies that operate under strict compliance requirements. It will likely enhance their ability to attract and retain major corporate accounts by demonstrating a high standard of data integrity and operational security.

How does Dragonfly AI's 'Studio 3' platform and planned features for Persuasion and Comprehension affect its competitive stance?

Dragonfly AI's 'Studio 3' platform, with its current focus on Attention, Memory, and Emotion, and planned features for Persuasion and Comprehension, enhances its competitive stance by aiming for a more comprehensive understanding of creative impact. This expansion beyond basic attention prediction suggests a move towards a deeper, more nuanced analysis of consumer response, potentially offering a richer set of insights than competitors who may focus on fewer cognitive aspects.

Given the lack of public pricing details, what can be inferred about Dragonfly AI's target clientele from its plan structure?

Given the lack of public pricing, Dragonfly AI's plan structure (Light, Teams, Enterprise) indicates a strategy to cater to a broad spectrum of clients, from individual users and small teams to large global brands. The emphasis on 'Enterprise' for comprehensive creative quality support for global brands suggests that the company primarily targets larger organizations with complex, scalable needs, likely requiring bespoke pricing and extensive support.

How does CEO Steve King's background influence Dragonfly AI's product development and strategic direction?

CEO Steve King's background in artificial intelligence, data science, and behavioral research likely heavily influences Dragonfly AI's product development and strategic direction. His expertise ensures the company's core offering, the patented biological algorithm, remains scientifically rigorous and focused on translating complex neuroscience into actionable creative performance insights. This leadership helps maintain a strong emphasis on data-backed creative decisions and AI-driven recommendations.

What is the strategic significance of Dragonfly AI's participation in the Generative AI for the Creative Industries summit?

Dragonfly AI's participation in the Generative AI for the Creative Industries summit in September 2023 signifies its strategic interest in the evolving landscape of AI-driven creativity. This engagement suggests the company is exploring how its neuroscience-led predictive AI can integrate with or leverage generative AI technologies to amplify creative output and commercial success for its clients, positioning itself at the forefront of future creative technology trends.

What does Dragonfly AI's case study demonstrating a 40% sales increase for a £700 million brand imply about its value proposition?

Dragonfly AI's case study, showing a 40% sales increase for a £700 million brand, implying approximately £7 million in annualized revenue, powerfully demonstrates its value proposition: tangible financial return on investment. This specific example highlights the platform's ability to drive significant commercial impact for large clients, emphasizing its role in optimizing creative to directly contribute to bottom-line growth, which is a strong draw for corporate strategy and corp-dev professionals.

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