Natural, a burgeoning startup aiming to redefine the financial infrastructure for autonomous artificial intelligence (AI) agents, has successfully closed a $30 million Series A funding round. This significant capital injection, led by venture capital firm Forerunner, brings the company’s total funding to $40 million and positions it in direct competition with established payment processing behemoths such as Stripe. The investment underscores a growing recognition within the financial and tech sectors of the urgent need for payment systems capable of supporting the burgeoning capabilities of AI agents, which are increasingly executing sophisticated tasks but remain tethered to human intervention for final transaction authorization.
The Evolving Landscape of AI and the Payment Bottleneck
The current era of artificial intelligence is marked by an exponential leap in agent capabilities. What began with AI assisting in rudimentary data processing has evolved into sophisticated autonomous agents capable of complex decision-making and execution. These advanced AI systems are now adept at identifying suitable vendors, comparing intricate pricing structures, and even managing logistical communications to organize deliveries. For instance, in supply chain management, an AI agent might analyze demand forecasts, identify a freight carrier with optimal rates and delivery times, negotiate terms, and schedule the shipment. However, a critical bottleneck persists at the final stage of this process: making the actual payment.
Today’s global financial sector operates on a complex network of "financial rails" – the underlying infrastructure that facilitates the movement of money and information between banks, businesses, and consumers. These rails, which include traditional systems like credit cards, Automated Clearing House (ACH) transfers, and wire protocols, were fundamentally designed for human-initiated and human-authorized transactions. Credit card payments, for example, typically require a cardholder’s manual input, a digital signature, or biometric verification. Similarly, ACH transactions, while largely automated in their processing, still originate from human-approved requests or recurring mandates established by human users. This reliance on human authorization, a cornerstone of security and accountability in traditional finance, paradoxically becomes a significant impediment to the seamless, autonomous operation of AI agents. For an AI agent engineered to function independently, the necessity of human oversight for every financial transaction introduces delays, inefficiencies, and ultimately, limits the scope of its autonomy. This inherent friction slows down processes that AI is designed to accelerate, creating a pressing demand for a new financial architecture built from the ground up to support agentic transactions.
Natural’s Vision: Redesigning Finance for the Autonomous Era
Approximately a year ago, Kahlil Lalji, co-founder and CEO of Natural, identified this burgeoning chasm between the rapid evolution of AI agents and the static nature of existing financial infrastructure. His insight was that the current financial architecture simply cannot support the granular, high-speed, and autonomous tasks required by AI agents, such as independently paying a vendor, collecting payments, or transacting directly with other AI agents. Lalji recognized that this was not merely an incremental problem but a foundational one requiring a complete rethinking of payment systems.
Lalji’s journey to this realization is rooted in a deep background in banking and finance. Despite his extensive experience, which includes co-founding Ivella, a Y Combinator-backed banking and financial product for couples that was sold to Earnin in 2023, he initially sought to avoid re-entering the sector. Having worked as an engineer at Earnin for two years, Lalji candidly admitted to TechCrunch that he had felt "burned" by the finance industry, particularly following the tumultuous period after the Zero Interest Rate Policy (ZIRP) era concluded. However, the sheer magnitude of the opportunity presented by agentic payments proved too compelling to ignore. "I kept on coming back to it," Lalji stated, emphasizing the undeniable logic of the problem. "It just feels obvious that agentic payments are going to be structurally the most important problem [in the] space."
Driven by this conviction, Lalji teamed up with Eric Wang, his co-founder from Ivella, and Walt Leung, a former engineering manager at Nextdoor, to establish Natural in 2025. The company positions itself not merely as a payment processor but as an "agent orchestration layer." This sophisticated infrastructure is designed to empower AI agents to autonomously manage and move funds, effectively granting them financial agency. By integrating Natural’s system, businesses can enable their AI agents to execute payments, collect receivables, and conduct transactions seamlessly with both human entities and other AI agents, all without requiring human intervention for each individual step. This represents a paradigm shift from a human-centric financial model to an agent-centric one, promising to unlock unprecedented levels of automation and efficiency across various industries.
Strategic Investment and Market Validation
Natural’s ambitious plan quickly attracted the attention of prominent investors, most notably Kirsten Green, founder and managing partner at Forerunner Ventures. Green’s firm is renowned for its focus on consumer experiences and the future of commerce, making Natural a natural fit for its investment thesis. Forerunner led the $30 million Series A round, signaling strong confidence in Natural’s potential to disrupt a critical segment of the fintech landscape.
Green articulated her firm’s attraction to Natural’s broader vision, which extends far beyond merely facilitating agent-initiated checkouts. She noted that Natural is actively striving to reinvent the entire payment infrastructure, including how complex issues like disputed transactions are handled in an autonomous agent environment. This comprehensive approach to financial architecture, rather than a piecemeal solution, resonated deeply with Forerunner’s investment strategy, which seeks out companies with the potential for foundational impact. The investment not only provides Natural with crucial capital but also serves as a significant validation of its innovative approach and the perceived market need for agent-native payment solutions.
The Race to Build the Financial Backbone for AI Agents
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 with established incumbents. The primary competitor in Natural’s sights is Stripe, a company that has itself recognized the impending shift towards AI-driven transactions and is actively developing its own solutions to redesign payment rails for AI agents. Stripe, with its vast global infrastructure, extensive developer ecosystem, and deep integration across millions of businesses, represents a formidable challenger. Its existing network effects and brand recognition provide a significant advantage.
However, Natural aims to leverage its agility and focused expertise as a dedicated AI-native payment platform. Lalji is betting that the startup’s rapid development speed will allow it to outpace larger, more complex organizations and establish itself as the foundational payment infrastructure for the next generation of AI agents. This mission has proven attractive to top talent, with Natural successfully recruiting senior staff from prominent fintech giants such as Stripe, Ramp, and Square, indicating a strong belief in the company’s vision and execution capabilities.
The competitive landscape is not limited to just Stripe. Several other startups are also entering this nascent but rapidly expanding field. Among them is Skyfire Systems, backed by DCVC, which is exploring the reinvention of the payments backbone for AI agents specifically using USD-backed stablecoins. These digital currencies, designed to maintain a stable value relative to a fiat currency like the US dollar, offer potential advantages in terms of speed, transparency, and lower transaction costs, which could be particularly beneficial for microtransactions and high-volume autonomous payments. Natural, while building robust support for traditional bank payments, also plans to incorporate stablecoins into its architecture, adopting a hybrid strategy that aims to offer comprehensive flexibility to its users. This dual approach acknowledges the current dominance of traditional banking systems while preparing for a future where digital currencies may play an increasingly significant role in agentic transactions.
Broader Implications and the Future of Payments
The implications of successful agentic payment systems extend far beyond mere convenience. Lalji’s vision for the future of payments is nothing short of transformative. He postulates that if transactions can occur at computer speed, rather than being constrained by human speed, the sheer volume of payments in the global economy could increase by "two or three or four orders of magnitude." This exponential growth in transaction volume would not only redefine the scale of financial activity but also unlock unprecedented efficiencies across various sectors.
Consider the potential impact on supply chains. An AI agent could autonomously manage the entire procurement process, from ordering raw materials to paying suppliers upon delivery and verifying quality, optimizing cash flow and minimizing human error. In the burgeoning gig economy, AI agents could facilitate instant, micro-payments for tasks completed, creating a more fluid and responsive labor market. Business-to-business (B2B) transactions, currently often bogged down by lengthy reconciliation processes, could become near-instantaneous, improving liquidity and fostering faster economic cycles.
However, this future also presents significant challenges and necessitates careful consideration of various factors. Security, for instance, becomes paramount. Autonomous transactions introduce new vectors for fraud and cyberattacks, requiring robust authentication mechanisms and advanced threat detection systems specifically designed for AI-to-AI interactions. Regulatory frameworks, often slow to adapt to technological advancements, will need to evolve rapidly to accommodate agentic payments, addressing issues like anti-money laundering (AML), know-your-customer (KYC) requirements, and cross-border transaction compliance. Establishing trust and accountability in AI-driven financial decisions will also be crucial, requiring transparent audit trails and mechanisms for dispute resolution that are fit for purpose in an autonomous world. Furthermore, ensuring interoperability between diverse existing financial systems and new agent-native platforms will be critical for widespread adoption.
Natural’s mission is not just about building a new payment system; it is about constructing a fundamental pillar for the next generation of the digital economy. By enabling AI agents to transact autonomously, the company aims to facilitate a new era of automation, efficiency, and potentially, a dramatic expansion of economic activity. The race to dominate this nascent field is fierce, with established giants and nimble startups vying for position. However, the ultimate prize is the opportunity to shape the financial backbone of a future where AI is not just an assistant but an active, independent participant in the global economy.
