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Home COUNTRY UK&IRELAND

London-based Dragonfly raises €3 million to simplify software decision-making with AI

EU Startupsby EU Startups
October 8, 2025
Reading Time: 3 mins read
in UK&IRELAND, VENTURE CAPITAL
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London-based startup Dragonfly has raised €3 million in a pre-seed funding round to make software decision-making faster and smarter through AI.

The round was led by Episode 1, with participation from Dreamcraft and Portfolio Ventures, as well as angel investors including QuantumBlack founder and CTO Sam Bourton and Bolt founder and CEO Markus Villig. Dragonfly has also launched its conversational AI tool to the public, with a suite of enterprise features to follow later this year.

Founded in December 2024 by Sean King and Sven Sabas, Dragonfly’s platform acts as a software discovery and advisory system, helping businesses navigate the increasingly complex landscape of digital tools. With over 250,000 products in its database, sourced from trusted data providers, the company uses AI to analyse and match users with the best technologies for their needs. The aim is to provide the same insights and expertise as a professional solutions architect, but in seconds rather than months.

As the number of available software tools continues to surge, many teams struggle to compare options and assess their reliability, interoperability and security. The rapid pace of AI-driven innovation has made this even more challenging. Meanwhile, access to expert advice from systems architects or consultants remains prohibitively expensive for most organisations.

Sven Sabas, Co-founder at Dragonfly, said: “Sean and I have spent our careers building startups, and we learned firsthand that a company’s success is tied to the technology it chooses. These decisions can make or break products, and often shape the long-term fate of an entire business. As seasoned engineering and data leaders, we’ve built tech infrastructure from the ground up, making tough, high-stakes calls along the way. We didn’t always get things right. Tech moves quickly but there’s a lack of reliable, up-to-date guidance to make these critical decisions. That gap revealed a huge opportunity for us to help organisations unlock their true potential and embrace modern tools with confidence in the age of AI. We’re building Dragonfly to be the technology companion we always wished we had – one that empowers every company to make faster, better choices about the software they use to build and scale.”

Dragonfly’s conversational AI allows users to ask questions in natural language, such as “what’s the best project management software for a team of five that integrates with Google Calendar and has a free plan?” and receive tailored recommendations within seconds. It can also handle more complex prompts, for example, identifying GDPR-compliant tools that integrate with AWS for financial services companies.

Later this year, Dragonfly plans to launch its enterprise platform, enabling organisations to map, manage and evolve their technology ecosystems. Its proprietary “digital fingerprinting” technology captures a detailed blueprint of each company’s software architecture, allowing the platform to deliver customised recommendations based on individual business needs and growth stages.

The new funds will be used to expand Dragonfly’s data capabilities, develop new features, and further the company’s mission to build an “Automated Solutions Architect” that helps businesses design and optimise their technology stacks.

Hector Mason, General Partner at Episode 1, said: “Before Dragonfly, it was almost impossible to gather enough context about software tools to truly understand their capabilities, and whether they fit seamlessly within an existing stack. By solving this critical problem, made even more urgent with the rapid adoption of AI, Dragonfly has the potential to make every company on the planet operate more effectively.”

Read the orginal article: https://www.eu-startups.com/2025/10/london-based-dragonfly-raises-e3-million-to-simplify-software-decision-making-with-ai/

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June 6, 2023

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