Paygentic, a London-based startup building payments infrastructure for AI-native and agent-driven businesses, has raised $2 million (£1.6 million) in pre-funding to expand its team and accelerate product development.
The funding round was led by MiddleGame Ventures, with participation from Anamcara Capital, Aperture, Angel Invest and Alan Morgan, Chairman of Adfisco.
Founded by Susan O’Neill and Samuel Alarco Cantos (pictured), Paygentic addresses a rapidly emerging problem in the AI software sector – the mismatch between variable compute costs and traditional fixed SaaS billing models.
While AI-native companies face highly variable usage costs due to model inference and API consumption, most lack billing systems that can dynamically adjust based on performance, usage, or results. Paygentic’s all-in-one platform enables AI companies to adopt hybrid, usage-based and results-based pricing models, providing greater flexibility and control over monetization.
The company’s launch comes at a time when AI-native startups are generating a combined annual revenue of over $15 billion, creating new demand for specialized financial infrastructure that can support complex, machine-driven transactions.
Co-founder and CEO Susan O’Neill said Paygentic was born out of frustration with rigid legacy systems: “We built Paygentic because traditional billing solutions break the moment things get complex. AI founders lack the flexible infrastructure they need to effectively price and monetize their products. Our platform enables “It allows AI companies to charge for what matters – and scale as quickly as they innovate.”
Kanishk Walia, partner at MiddleGame Ventures, said the company sees Paygentic as “foundational infrastructure for the agent AI economy.”
“AI-native products are redefining the way value is created and delivered, but legacy billing and payment systems can’t keep up. Paygentic has built an agent-first stack that enables monetization of usage, outcomes and hybrid models at scale – exactly what this new generation of businesses needs.”
Paygentic’s platform converts AI agent actions – from prompts to results – directly into billable events, integrating billing, payment and pricing logic into one system. Built for developers and product teams, it aims to remove friction between experimentation, pricing, and revenue recognition.
Paygentic has been operating in stealth mode since early 2025 and has already attracted a select group of early adopters, including ChaseLabs, which provides AI-powered Sales Development Representatives (SDRs).
Ed Gibbins, co-founder of ChaseLabs, said: “Our business depends on results-based pricing – we get paid when our AI SDR generates a lead. Traditional billing systems couldn’t handle this, but Paygentic understood exactly what we needed.”
With its platform now publicly available, Paygentic plans to expand access to AI developers, LLM infrastructure providers and agent frameworks so they can launch, monetize and scale their products faster.
As the AI-native economy matures, Paygentic aims to position itself at the intersection of fintech and intelligent automation, building what investors are calling “the financial plumbing for the agent age.”
