The London-based fintech emerges from stealth with an agent-first billing and payments stack for AI-native and agent-driven businesses.
Paygentic, a fintech platform built to power billing and payments for AI-native startups, has raised $2 million in pre-seed funding to expand its team, accelerate product development, and strengthen its payments infrastructure.
The round was led by MiddleGame Ventures, with participation from Anamcara Capital, Aperture Capital, and several angel investors, including Alan Morgan (Chairman at Adfisco) and Angel Invest.
Founded in 2025 by Susan O’Neill and Samuel Alarco Cantos, Paygentic tackles a fast-growing problem in the AI ecosystem: traditional billing systems aren’t built for AI-driven business models. As AI-native products generate value dynamically, based on usage, outcomes, or performance, most startups find themselves boxed into static monthly SaaS models that don’t reflect their actual economics.
“We built Paygentic because we saw firsthand that traditional billing solutions break the moment things get complex” said Susan O’Neill, CEO and Co-founder. “AI founders need flexible infrastructure to price and monetize their products effectively. Getting pricing right is critical to customer success, and that’s exactly what Paygentic delivers.”
Paygentic’s agent-first stack unifies billing and payments in a single, easily deployed platform. It supports hybrid, subscription, usage-based, and outcome-based pricing models, allowing AI startups to charge for any metric that matters, from prompt executions to successful outcomes.
“AI-native products are redefining how value is created and delivered, yet legacy billing systems can’t keep up with this complexity” said Kanishk Walia, Partner at MiddleGame Ventures. “Paygentic makes it possible to monetize usage, outcomes, and hybrid models at scale, exactly what this new generation of businesses requires.”
The platform has already been adopted by early users such as ChaseLabs, which provides AI-powered sales development representatives on an outcome-based pricing model. “Traditional systems couldn’t handle our model, but Paygentic gave us the flexibility to monetize exactly how our AI agents work” said Ed Gibbins, Co-founder of ChaseLabs.
Having exited stealth, Paygentic is now open to any AI-native business, from LLM infrastructure and agent frameworks to AI-powered applications. The company sees itself as foundational infrastructure for the emerging agentic economy, enabling founders to launch faster, monetize smarter, and scale dynamically.