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The Tech Diff > Blog > Technology > “Paid Secures $21M Seed Funding for AI Results-Based Billing Startup”
Technology

“Paid Secures $21M Seed Funding for AI Results-Based Billing Startup”

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Last updated: September 29, 2025 5:06 am
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Manny Medina Launches Innovative Startup Paid

Manny Medina, renowned as the founder of the sales automation powerhouse Outreach, which boasts a staggering valuation of $4.4 billion, has once again captivated investors with his latest venture, Paid. Recently, Paid secured an impressive $21.6 million in an oversubscribed seed funding round led by Lightspeed, marking a significant milestone in its growth trajectory.

Contents
Manny Medina Launches Innovative Startup PaidImpressive Funding JourneyInnovative Approach to AI Agentic BillingChallenges in AI MonetizationCustomer Growth and Market Reception

Impressive Funding Journey

Following a successful €10 million pre-seed round in March, London-based Paid has cumulatively raised $33.3 million without even reaching its Series A stage. Sources familiar with the funding indicate that the startup’s valuation has surpassed $100 million, signifying robust confidence from the investment community in its prospects.

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Innovative Approach to AI Agentic Billing

Emerging from stealth mode earlier this year, Paid is carving out a unique niche within the burgeoning AI landscape. Unlike traditional AI companies that offer agents, Paid focuses on enabling agent makers to monetize their algorithms based on the value they deliver to clients. This novel concept is part of a broader trend known as “results-based billing,” and it positions Paid at the forefront of the evolving AI market.

Medina emphasizes that Paid is designed to assist agent makers in “starting to charge for points of margin saved by their customers.” This approach represents a transformative shift in software pricing models, moving away from the conventional limitless per-user fees characteristic of the SaaS era, or the one-time purchase fees typical of the client/server era.

Challenges in AI Monetization

The traditional per-user fee model has become increasingly problematic for agent makers. Many developers find themselves burdened with usage fees from both model providers and cloud services, which can lead to unsustainable operational costs. Medina notes that “agent providers need to demonstrate the value their agents deliver,” particularly since these agents often operate behind the scenes.

He elaborates, “If you’re a quiet agent, you don’t get paid. You need an infrastructure that allows the agent to charge for the additional work that the agent is doing.” This concerns the pivotal reality that many companies are wary of investing in AI solutions that do not yield tangible results. A recent MIT study revealed that around 95% of enterprise AI projects fail to deliver value, leaving only a meager 5% successfully implemented.

Customer Growth and Market Reception

Paid’s customer base is expanding, with notable partnerships already established. One of its early adopters is Artisan, a rising star in the sales automation sector. Furthermore, Paid recently announced its collaboration with ERP vendor IFS, indicating strong demand from SaaS companies looking to leverage AI agents for growth.

Lightspeed’s Alexander Schmitt, who has invested over $2.5 billion into AI infrastructure and application layer firms in recent years, acknowledges the high rate of failure in early AI pilots. He states, “The core of that problem is that no one can really attach value to what agents are doing today.” Schmitt believes that Paid distinguishes itself within the market, suggesting, “It’s something that we haven’t seen someone else build.” As AI continues to evolve, the potential for competitive growth in results-based billing for agents is likely to emerge.

In addition to Lightspeed, new investor FUSE and existing investor EQT Ventures participated in this latest funding round, further bolstering Paid’s position in the market.

To learn more about Manny Medina’s innovative projects and the future of AI agentic billing, you can read the full article here.

Image Credit: techcrunch.com

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