In this piece, I share some hard-earned lessons from building CoVent, an AI-powered marketplace for event sponsorships. From navigating the early challenges of product-market fit to understanding the cautious nature of the UK startup ecosystem, this is a look at what’s worked for us and what I wish I’d known when starting.

Multi-agent AI systems are revolutionizing how startups operate by enabling collaborative, adaptive, and automated workflows that surpass the limits of single-agent models. By integrating or building these systems, startups can streamline operations, reduce manual effort, and gain a significant competitive edge in an increasingly dynamic business landscape.

Krishna Dubba, Co-founder and CTO of CoVent, is leveraging multi-agent systems, large language models, and open-source tools to build an adaptive AI-driven marketplace for event sponsorships. His lean, cutting-edge approach enables scalable data extraction and automation without relying on traditional infrastructure, positioning CoVent to compete with larger players through agility and innovation.