London-based startup Dragonfly has raised €3 million in a pre-seed funding spherical to make software program decision-making quicker and smarter by means of 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 instrument to the general public, with a collection of enterprise options to observe 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 advanced panorama of digital instruments. With over 250,000 merchandise in its database, sourced from trusted knowledge suppliers, the corporate makes use of AI to analyse and match customers with one of the best applied sciences for his or her wants. The intention is to supply the identical insights and experience as an expert options architect, however in seconds quite than months.
Because the variety of obtainable software program instruments continues to surge, many groups battle 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 selections could make or break merchandise, and sometimes form the long-term destiny of a complete enterprise. As seasoned engineering and knowledge leaders, we’ve constructed tech infrastructure from the bottom up, making powerful, high-stakes calls alongside the way in which. We didn’t at all times get issues proper. Tech strikes shortly however there’s a scarcity of dependable, up-to-date steerage to make these essential selections. 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 at all times wished we had – one which empowers each firm to make quicker, higher decisions in regards to the software program they use to construct and scale.”
Dragonfly’s conversational AI permits customers to ask questions in pure language, equivalent to “what’s one of the best undertaking administration software program for a staff of 5 that integrates with Google Calendar and has a free plan?” and obtain tailor-made suggestions inside seconds. It may additionally deal with extra advanced prompts, for instance, figuring out GDPR-compliant instruments that combine with AWS for monetary companies corporations.
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 primarily based on particular person enterprise wants and progress phases.
The brand new funds shall be used to develop Dragonfly’s knowledge 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 Accomplice at Episode 1, stated: “Earlier than Dragonfly, it was virtually unimaginable to assemble sufficient context about software program instruments to actually perceive their capabilities, and whether or not they match seamlessly inside an present stack. By fixing this essential downside, made much more pressing with the speedy adoption of AI, Dragonfly has the potential to make each firm on the planet function extra successfully.”
