London-based startup Dragonfly has raised €3 million in a pre-seed funding spherical to make software program decision-making sooner and smarter by AI.
The spherical was led by Episode 1, with participation from Dreamcraft and Portfolio Ventures, in addition to angel buyers together with QuantumBlack founder and CTO Sam Bourton and Bolt founder and CEO Markus Villig. Dragonfly has additionally launched its conversational AI software to the general public, with a set of enterprise options to comply with later this 12 months.
Based in December 2024 by Sean King and Sven Sabas, Dragonfly’s platform acts as a software program discovery and advisory system, serving to companies navigate the more and more complicated panorama of digital instruments. With over 250,000 merchandise in its database, sourced from trusted information suppliers, the corporate makes use of AI to analyse and match customers with the very best applied sciences for his or her wants. The goal is to offer the identical insights and experience as knowledgeable options architect, however in seconds reasonably than months.
Because the variety of obtainable software program instruments continues to surge, many groups wrestle to match choices and assess their reliability, interoperability and safety. The speedy tempo of AI-driven innovation has made this much more difficult. In the meantime, entry to knowledgeable recommendation from techniques architects or consultants stays prohibitively costly for many organisations.
Sven Sabas, Co-founder at Dragonfly, stated: “Sean and I’ve spent our careers constructing startups, and we discovered firsthand that an organization’s success is tied to the expertise it chooses. These choices could make or break merchandise, and infrequently form the long-term destiny of a complete enterprise. As seasoned engineering and information leaders, we’ve constructed tech infrastructure from the bottom up, making robust, high-stakes calls alongside the best way. We didn’t all the time get issues proper. Tech strikes shortly however there’s an absence of dependable, up-to-date steering to make these crucial choices. That hole revealed an enormous alternative for us to assist organisations unlock their true potential and embrace trendy instruments with confidence within the age of AI. We’re constructing Dragonfly to be the expertise companion we all the time wished we had – one which empowers each firm to make sooner, higher decisions concerning the software program they use to construct and scale.”
Dragonfly’s conversational AI permits customers to ask questions in pure language, resembling “what’s the very best mission administration software program for a group of 5 that integrates with Google Calendar and has a free plan?” and obtain tailor-made suggestions inside seconds. It could possibly additionally deal with extra complicated prompts, for instance, figuring out GDPR-compliant instruments that combine with AWS for monetary providers firms.
Later this 12 months, Dragonfly plans to launch its enterprise platform, enabling organisations to map, handle and evolve their expertise ecosystems. Its proprietary “digital fingerprinting” expertise captures an in depth blueprint of every firm’s software program structure, permitting the platform to ship customised suggestions based mostly on particular person enterprise wants and progress phases.
The brand new funds can be used to increase Dragonfly’s information capabilities, develop new options, and additional the corporate’s mission to construct an “Automated Options Architect” that helps companies design and optimise their expertise stacks.
Hector Mason, Normal Companion at Episode 1, stated: “Earlier than Dragonfly, it was nearly unimaginable to collect sufficient context about software program instruments to really perceive their capabilities, and whether or not they match seamlessly inside an present stack. By fixing this crucial drawback, made much more pressing with the speedy adoption of AI, Dragonfly has the potential to make each firm on the planet function extra successfully.”
