The burgeoning landscape of artificial intelligence is witnessing a profound shift as AI agents evolve to execute increasingly sophisticated tasks, ranging from supply chain management and vendor identification to price comparison and logistical coordination. These advanced agents are now capable of independently sourcing freight providers, negotiating terms, and even initiating the messaging required to organize a delivery. However, a critical bottleneck persists within this autonomous workflow: the final act of financial settlement. When it comes to making a payment for a shipment or any other transaction, these otherwise self-sufficient AI entities invariably encounter a human-centric barrier, necessitating manual authorization. This fundamental friction point highlights a growing disparity between the rapid advancement of AI capabilities and the foundational architecture of the global financial system.
Today’s intricate financial sector operates on a complex web of "financial rails," the underlying infrastructure that facilitates the movement of money and information among banks, businesses, and consumers. These rails, which include established systems like credit card networks, the Automated Clearing House (ACH), and SWIFT, were meticulously designed and optimized for human-initiated transactions. Their inherent design incorporates layers of human oversight, verification, and authorization, which, while crucial for security and accountability in traditional commerce, introduce significant delays and inefficiencies when integrated with AI agents engineered for speed and autonomy. For instance, traditional payment systems inherently rely on human authorization for transaction approval, a requirement that fundamentally impedes the seamless, high-speed operations envisioned for autonomous AI systems. This structural incompatibility is creating a pressing need for a new generation of financial infrastructure tailored for machine-to-machine commerce.
The Genesis of Natural: Addressing an Emerging Market Gap
Recognizing this burgeoning technological chasm, a new startup named Natural is embarking on an ambitious endeavor: to redesign the entire financial payment system from the ground up, specifically for the era of autonomous AI. The company recently announced a significant milestone, securing $30 million in fresh capital to fuel its comprehensive plan, a move that positions it in direct competition with established fintech titans such as Stripe, which is also reportedly exploring solutions in this nascent space.
The conceptualization of Natural began approximately a year ago, when co-founder and CEO Kahlil Lalji observed a critical divergence. He realized that the evolution of AI agents was rapidly outpacing the capabilities of existing financial architecture. Current systems are simply not equipped to support tasks such as autonomously paying a vendor, efficiently collecting payments, or facilitating seamless transactions directly between AI agents themselves. This realization sparked the foundational idea for Natural.
Lalji brings a robust background in banking and finance to this new venture, an industry he had initially hoped to circumvent in his entrepreneurial pursuits. His prior startup, Ivella, a YC-backed banking and financial product tailored for couples, was successfully acquired by Earnin in 2023. Following the acquisition, Lalji spent two years as an engineer at Earnin. He candidly shared with TechCrunch that his previous experiences in the finance sector, particularly after the challenging period following the end of the Zero Interest Rate Policy (ZIRP) era, had left him feeling "burned." The ZIRP era, characterized by exceptionally low interest rates, fueled a boom in fintech investments and valuations, often leading to rapid growth but also exposing vulnerabilities when monetary policy shifted. This experience instilled in Lalji a cautious approach to re-entering the financial domain.
Despite his reservations, the compelling nature of the opportunity proved too significant to ignore. "I kept on coming back to it," Lalji stated, emphasizing the undeniable logic behind his pivot. "It just feels obvious that agentic payments are going to be structurally the most important problem [in the] space." This conviction underscored the perceived inevitability and criticality of building financial infrastructure specifically designed for autonomous agents.
In 2025, Lalji officially teamed up with Eric Wang, his co-founder from Ivella, and Walt Leung, a seasoned former engineering manager at Nextdoor, to establish Natural. The startup strategically positions itself as an "agent orchestration layer" – a sophisticated middleware designed to empower AI agents to move, store, and manage funds autonomously. By integrating Natural’s innovative infrastructure, businesses can enable their AI agents to execute autonomous payments, collect funds, and engage in transactions not only with humans but also seamlessly with other AI agents. This capability promises to unlock unprecedented levels of automation and efficiency across various industries.
Securing Significant Investment: Forerunner’s Strategic Bet
Natural’s audacious vision quickly captured the attention of prominent investors. Kirsten Green, the founder and managing partner at the venture capital firm Forerunner, emerged as a key supporter. Green’s firm is renowned for its strategic focus on consumer experiences and the future of commerce, making Natural a natural fit for her investment thesis. Forerunner led Natural’s $30 million Series A funding round, elevating the company’s total funding to an impressive $40 million.
Green’s attraction to Natural extended beyond its immediate application; she was particularly drawn to the startup’s broader ambitions. Natural is not merely focused on facilitating agents to pay for and check out goods on behalf of consumers. Its overarching goal is to fundamentally reinvent core payment infrastructure, including often-overlooked yet critical aspects like the handling of disputed transactions. This comprehensive approach signals a desire to build a robust, end-to-end financial system rather than just a patch for existing rails.
Navigating a Competitive Landscape and Redefining Market Potential
While Natural has operated in a beta trial phase until recently, Lalji conveyed to TechCrunch his confidence that the startup has made sufficient "critical architectural decisions" to give it a "good shot" at competing effectively with established incumbents like Stripe. Stripe, a behemoth in payment processing, is also actively exploring and investing in initiatives to redesign payment rails to accommodate the unique requirements of AI agents. This signals a broader industry recognition of the impending paradigm shift.
Lalji’s strategy hinges on Natural’s agile development speed, which he believes will enable the startup to outpace established giants and solidify its position as the foundational financial backbone for AI agents. This mission has already attracted top-tier talent, with senior staff joining Natural from prominent fintech companies such as Stripe, Ramp, and Square – a testament to the compelling vision and potential impact of the venture.
The competitive landscape for agentic payments is multifaceted. While Natural views Stripe as its primary rival, several other innovative startups are also vying for market dominance. For instance, DCVC-backed Skyfire Systems is another notable player attempting to reinvent the payments backbone for AI agents, specifically leveraging USD-backed stablecoins. Natural, while planning to incorporate stablecoins into its future architecture, is also committed to building robust support for traditional bank payments, offering a more comprehensive and flexible solution that caters to a wider range of existing financial infrastructure.
The race to dominate this nascent field is fierce, but Lalji is driven by a conviction that the entire market for payments stands to grow exponentially if transactions can occur at "computer speed" rather than the comparatively sluggish "human speed." He posits a revolutionary vision: "The number of payments that may occur in the world may be two or three or four orders of magnitude greater than the number of payments that exist today." This bold projection underscores the potential for autonomous AI agents to unleash an unprecedented volume of micro-transactions, machine-to-machine payments, and highly granular financial settlements that are currently infeasible or cost-prohibitive within the existing human-centric framework.
Broader Implications: A Tsunami of Autonomous Transactions
The implications of Natural’s mission, if successful, are far-reaching and transformative across various sectors. The shift from human-initiated to AI-driven transactions could usher in an era of hyper-efficiency in commerce, logistics, supply chain management, and even personal finance.
- Enhanced Efficiency and Speed: Imagine supply chains where AI agents autonomously negotiate, procure, and pay for components in real-time, optimizing inventory and delivery schedules without human intervention. Or financial algorithms that can execute millions of micro-trades and settlements across diverse platforms at millisecond speeds. This paradigm shift promises to drastically reduce operational costs and accelerate economic activity.
- New Business Models: The ability for AI agents to transact autonomously could give rise to entirely new business models. For example, autonomous vehicles could pay for charging stations or road tolls directly, smart homes could automatically reorder groceries and pay for utilities, and industrial robots could purchase spare parts or maintenance services as needed.
- Market Expansion: Lalji’s prediction of a two-to-four orders of magnitude increase in transaction volume is not merely speculative. As AI agents become ubiquitous, they will generate a vast number of interactions that require financial settlement. These could be small, frequent payments for data access, computational resources, or even fractional ownership transfers between digital entities. The sheer scale of potential machine-to-machine interactions far exceeds current human-driven transaction volumes.
- Democratization of Complex Financial Operations: Natural’s infrastructure could democratize access to sophisticated financial operations, allowing smaller businesses and even individuals to deploy AI agents that can manage complex financial tasks, traditionally reserved for large corporations with extensive human finance departments.
- Challenges and Regulatory Considerations: While the opportunities are immense, the advent of autonomous agentic payments also presents significant challenges. Regulatory frameworks, designed for human accountability, will need to evolve rapidly to address issues of liability, fraud detection in machine-to-machine interactions, anti-money laundering (AML) compliance for AI-driven transactions, and dispute resolution in a fully automated environment. The development of robust security protocols to prevent malicious AI agents or system compromises will be paramount.
The Path Forward
Natural’s journey represents a pivotal moment in the convergence of artificial intelligence and financial technology. By building the "financial backbone" for AI agents, the company is not merely optimizing existing processes but is laying the groundwork for a fundamentally new economic infrastructure. The successful deployment of such a system would necessitate close collaboration with regulators, cybersecurity experts, and a broad spectrum of industry players to ensure trust, stability, and ethical operation.
The investment from Forerunner and the high-profile talent joining Natural underscore the market’s confidence in this vision. As AI agents continue their relentless march towards greater autonomy, the demand for a financial system that can keep pace will only intensify. Natural’s bold approach to redesigning payment rails from the ground up positions it as a key player in shaping the future of commerce, where the distinction between human and machine-initiated transactions may eventually become indistinguishable from a systemic perspective, fundamentally altering how value is exchanged in the digital age. The competitive race is on, and the stakes involve nothing less than the foundational architecture of the global economy for decades to come.
