Natural raises $30M to reinvent payments for AI agents — and take on Stripe
Natural, a fintech startup building payment infrastructure designed for AI agents rather than humans, has raised $30 million in Series A funding as it prepares to compete with established players such as Stripe. The company argues that today's financial rails, including credit cards and ACH transfers, rely on human authorisation and are too slow for AI agents that are increasingly capable of autonomously sourcing vendors, negotiating and arranging transactions, but still cannot complete the actual payment without human involvement. Natural aims to close that gap by acting as an orchestration layer that lets agents move and store funds, pay vendors, collect payments, and transact with both humans and other agents.
The Series A round was led by Kirsten Green of Forerunner, bringing Natural's total funding to $40 million, and reflects interest in its broader ambition to rebuild payment infrastructure, including how disputed transactions are managed. Founded in 2025 by Kahlil Lalji, Eric Wang and Walt Leung, the startup has operated in beta and has hired staff from Stripe, Ramp and Square. While Stripe is developing its own agent-focused payment tools and rivals such as Skyfire Systems are betting on stablecoins, Natural plans to support both stablecoins and traditional bank payments as it seeks to become the financial backbone for autonomous AI transactions.
- Startup Natural raises $30M Series A to build AI-agent payment infrastructure.
- Aims to let AI agents pay, collect funds and transact autonomously.
- Positions itself as a direct rival to Stripe and Skyfire Systems.
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Natural is a fintech startup founded in 2025 that builds payment systems designed specifically for AI agents rather than people. The idea behind it is that today's payment methods, like credit cards and bank transfers, still need a human to sign off, which creates a bottleneck as AI agents get better at handling tasks such as finding suppliers and negotiating deals on their own. Natural wants to let these agents move money, pay and get paid, and deal with both humans and other agents, without a person needing to step in for each transaction.
The company has now raised $30 million in a new funding round, bringing its total funding to $40 million, and has been quietly testing its product with early users while hiring people from established payment firms including Stripe, Ramp and Square. It is entering a market where Stripe, the dominant payments company it hopes to challenge, is also building tools for AI agents, and where other newer firms are pursuing similar goals using different approaches, such as digital currencies pegged to traditional money.
This matters because it points to a wider shift in how commerce might work as AI systems take on more tasks that used to require a person to complete, from booking services to buying goods. How payments, security and dispute resolution are handled for machine-led transactions could shape trust in this kind of technology and determine which companies end up controlling this part of the financial system.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Advocates argue that AI agents are already capable of sourcing vendors and negotiating deals, yet are held back by payment rails built for humans clicking checkout buttons, so infrastructure like Natural's is a necessary and overdue evolution rather than a novelty. They see clear economic value in removing friction from legitimate machine-to-machine commerce, arguing that faster, purpose-built rails could unlock efficiencies in procurement, logistics and services that human-paced systems cannot match. Bringing in experienced talent from Stripe, Ramp and Square, and backing from a respected investor, is taken as a sign that seasoned operators believe this is a genuine infrastructure gap worth solving carefully, including rethinking how disputes are handled for a new kind of transaction.
The case against
Sceptics contend that removing human authorisation from payments, even incrementally, raises serious concerns about fraud, error propagation and accountability, since an autonomous agent that misjudges a transaction could move real money before anyone notices. They worry that dispute resolution, chargebacks and consumer protections built up over decades for human-initiated payments may not translate cleanly to agent-to-agent commerce, potentially leaving individuals and small vendors exposed if something goes wrong. There is also caution about the pace of the shift itself: building financial rails around the assumption that AI agents should transact with money largely unsupervised is, in this view, moving ahead of the trust, regulation and safeguards such a system would need to be genuinely safe.
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