Sonny Valindra
The burgeoning field of artificial intelligence is rapidly evolving, with AI agents demonstrating an increasing capacity for sophisticated tasks. These digital assistants are becoming adept at everything from identifying suitable vendors for freight delivery and meticulously comparing pricing to initiating communication for shipment organization. However, a critical bottleneck persists: when it comes to the final step of executing a payment for these autonomously managed transactions, human intervention remains a prerequisite. This limitation highlights a fundamental disconnect between the autonomous capabilities of AI and the legacy infrastructure of the global financial system.
The current financial sector operates on a foundation of "financial rails"—the complex networks and protocols that facilitate the movement of money and financial information between banks, businesses, and consumers. These rails, largely designed and implemented during eras dominated by human-initiated transactions, are ill-equipped to handle the speed and scale demanded by autonomous AI agents. Traditional payment mechanisms, such as credit card authorizations and Automated Clearing House (ACH) transfers, inherently rely on human oversight and approval. This reliance creates significant delays, directly impeding the seamless, autonomous operation that AI agents are engineered to achieve.
Enter Natural, a nascent startup with an audacious vision: to reimagine the entire payment ecosystem from the ground up, specifically for the age of AI. The company announced today that it has successfully raised $30 million in a Series A funding round, injecting significant capital into its ambitious project. This funding positions Natural as a direct competitor to established financial technology giants like Stripe, signaling a potential seismic shift in how digital commerce and automated transactions will be facilitated.
The genesis of Natural can be traced back to approximately a year ago, when co-founder and CEO Kahlil Lalji observed a critical divergence. Lalji, who possesses a deep background in banking and finance, recognized that AI agents were advancing at a pace far exceeding the capabilities of existing financial architecture. This architectural lag prevents AI agents from performing essential functions such as autonomously paying vendors, collecting payments, or engaging in peer-to-peer transactions with other agents without human involvement.
Lalji’s prior entrepreneurial endeavors have provided him with valuable, albeit sometimes challenging, insights into the financial sector. His previous venture, Ivella, a YC-backed financial product for couples, was acquired by Earnin in 2023, where he subsequently worked as an engineer for two years. Lalji has openly shared that his experiences, particularly in the aftermath of the Zero Interest Rate Policy (ZIRP) era, left him somewhat disillusioned with the traditional finance industry. Yet, the undeniable opportunity presented by the AI revolution compelled him to re-engage.
"I kept on coming back to it," Lalji stated, reflecting on the foundational problem. "It just feels obvious that agentic payments are going to be structurally the most important problem [in the] space." This conviction fueled his decision to co-found Natural.
He then reconnected with Eric Wang, his co-founder from Ivella, and Walt Leung, a former engineering manager at Nextdoor, to establish Natural in 2025. The startup has strategically positioned itself as an "agent orchestration layer," designed to empower AI agents with the ability to securely move and store funds. By integrating Natural’s innovative infrastructure, businesses can unlock the potential for their AI agents to conduct autonomous payments, receive incoming funds, and engage in seamless transactions with both human counterparties and other AI agents.
The compelling vision and early traction of Natural have garnered significant attention from the venture capital community. Kirsten Green, the founder and managing partner of Forerunner, a firm known for its focus on consumer experiences and the future of commerce, led the $30 million Series A round. This substantial investment brings Natural’s total funding to an impressive $40 million, underscoring strong investor confidence in the company’s disruptive potential.
Green’s attraction to Natural extends beyond its immediate application in facilitating AI agent payments for consumer goods. She expressed enthusiasm for the startup’s broader ambition to fundamentally reinvent payment infrastructure. This includes a forward-looking approach to addressing complex issues such as the resolution of disputed transactions, a critical area that requires robust solutions in an increasingly automated world.
While Natural has been operating in a closed beta trial, Lalji indicated to TechCrunch that the company has made critical architectural decisions that provide it with a "good shot" at challenging established players like Stripe. The latter, a dominant force in online payment processing, is also reportedly investing in redesigning its payment rails to accommodate the unique demands of AI agents.
Lalji’s strategic bet is that Natural’s agility and rapid development cycle will enable it to outmaneuver larger, more established incumbents. The company’s mission to build the foundational payment infrastructure for AI agents has already attracted a talented team, including seasoned professionals who previously held key roles at fintech powerhouses such as Stripe, Ramp, and Square. This concentration of expertise within Natural signals a serious intent to compete at the highest level.
Although Natural views Stripe as its primary competitor, the landscape is becoming increasingly dynamic. Several other startups, including DCVC-backed Skyfire Systems, are actively working to develop payment backbones for AI agents, often leveraging USD-backed stablecoins as a core component. Natural, while planning to integrate stablecoin support into its architecture, is also committed to ensuring compatibility with traditional bank payment systems, aiming for a comprehensive and adaptable solution.
The intense competition in this nascent field underscores a shared belief in the transformative potential of AI-driven commerce. Lalji is particularly optimistic about the exponential growth of the payments market if transactions can occur at machine speed rather than human speed. "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," he posited. This projected surge in transaction volume could redefine the scale and scope of global commerce.
The AI Agent Payment Bottleneck: A Growing Challenge
As AI agents become more autonomous, their ability to perform complex tasks is expanding exponentially. These agents can now navigate vast datasets, identify optimal solutions, and initiate multi-step processes. For instance, an AI agent tasked with managing a company’s supply chain might autonomously identify a critical shortage of a specific component. It could then proceed to research and vet potential suppliers, compare pricing and delivery timelines, and even initiate direct communication with shortlisted vendors to negotiate terms. The logical next step in this automated workflow would be to authorize and execute payment for the procured goods or services. However, this is precisely where the current financial infrastructure falters.
Traditional payment systems, built with human decision-making at their core, introduce significant friction. The need for human approval for credit card transactions or ACH transfers creates a procedural chasm, effectively pausing the autonomous flow of AI agents. This bottleneck not only hinders efficiency but also limits the scope of tasks that AI can realistically undertake without constant human oversight. The economic implications are substantial, as the inability to automate payments for AI-driven processes can lead to missed opportunities, delayed operations, and increased labor costs for human intervention.
Natural’s Genesis: A Vision for Agentic Finance
Kahlil Lalji’s journey to founding Natural is marked by a keen understanding of both the limitations of existing systems and the immense potential of AI. His background in traditional finance, coupled with his experience in building and scaling fintech products, provided him with a unique vantage point. The realization that financial infrastructure was lagging behind AI’s rapid advancement was a pivotal moment.
"I kept on coming back to it," Lalji reiterated, highlighting the persistent nature of this insight. "It just feels obvious that agentic payments are going to be structurally the most important problem [in the] space." This sentiment speaks to the fundamental nature of money movement as the ultimate enabler of economic activity, and the critical need for this enabler to be compatible with the future of autonomous digital entities.
The decision to revisit the financial sector, despite prior hesitations, underscores the magnitude of the opportunity. Lalji, along with his co-founders Eric Wang and Walt Leung, recognized that a fundamental redesign, rather than incremental adjustments, was necessary. They aimed to create a payment system that is inherently built for autonomous agents, capable of handling transactions at machine speed and scale.
Rebuilding the Financial Rails: Natural’s Architectural Approach
Natural’s core proposition is to act as an "agent orchestration layer." This means providing a secure and efficient conduit for AI agents to interact with the financial system. The infrastructure being developed by Natural is designed to support a range of functionalities crucial for autonomous financial operations:
- Autonomous Payments: Enabling AI agents to initiate and complete payments without human intervention, based on pre-defined parameters and conditions.
- Fund Management: Providing agents with the capability to securely store, manage, and access funds as needed for their operations.
- Inter-Agent Transactions: Facilitating direct financial transactions between different AI agents, fostering a more interconnected and efficient AI ecosystem.
- Hybrid Transactions: Supporting transactions that involve both AI agents and human counterparties, ensuring a smooth transition and integration with existing business processes.
By building this layer, Natural aims to bridge the gap between AI’s operational capabilities and the financial mechanisms required to power them. This is not merely about facilitating faster transactions; it is about creating a new paradigm for commerce where AI agents can act as independent economic actors, capable of managing their own financial affairs.
Investor Confidence and Market Validation
The $30 million Series A funding round, led by Forerunner, is a significant endorsement of Natural’s vision and its potential to disrupt the financial technology landscape. Kirsten Green’s leadership in this round signals a belief in the long-term implications of AI-driven finance. Forerunner’s investment thesis, which often centers on anticipating shifts in consumer behavior and commerce, likely recognizes that the future of commerce will be deeply intertwined with AI agents.
The substantial capital infusion provides Natural with the resources necessary to accelerate its product development, expand its engineering team, and scale its operations. The fact that this funding brings Natural’s total funding to $40 million suggests a strong initial investor commitment and a clear roadmap for growth.
Furthermore, the company’s operational experience, gained through its beta trials, has allowed it to make critical architectural decisions. This pragmatic approach, combined with the strategic backing of prominent investors, positions Natural to effectively challenge established players in the payments processing market.
The Competitive Landscape: Facing Tech Giants and Niche Innovators
Natural operates in a rapidly evolving and increasingly competitive space. Its most significant competitor, from a market disruption perspective, is likely Stripe. Stripe, a titan in online payment processing, has the infrastructure, customer base, and resources to pivot towards AI-native solutions. Reports indicate that Stripe is also exploring ways to adapt its services for AI agents, setting the stage for a potential head-to-head competition.
However, Natural’s advantage lies in its ability to build its infrastructure from the ground up, specifically tailored for AI agents. This "clean slate" approach allows for potentially more innovative and efficient solutions compared to retrofitting existing systems.
Beyond Stripe, other startups are also vying for a position in this emerging market. Companies like Skyfire Systems are exploring alternative approaches, such as utilizing USD-backed stablecoins to facilitate AI agent transactions. While Natural also plans to incorporate stablecoins, its commitment to supporting traditional bank payments provides a broader appeal and a more inclusive pathway for businesses transitioning to AI-driven operations.
The diverse range of approaches being explored by these startups highlights the nascent nature of the AI payments sector. The ultimate winners will likely be those who can offer the most secure, efficient, and scalable solutions that seamlessly integrate with the rapidly advancing capabilities of AI agents.
The Economic Implications: A New Era of Transactional Velocity
The potential impact of AI-native payment systems on the global economy is profound. Kahlil Lalji’s observation that the number of payments could increase by "two or three or four orders of magnitude" is not an exaggeration. As AI agents become capable of executing transactions at speeds far exceeding human capabilities, the velocity of commerce could increase dramatically.
This increased transactional velocity has several potential economic consequences:
- Enhanced Efficiency: Businesses could see significant improvements in operational efficiency as AI agents automate complex procurement and payment processes, reducing lead times and manual overhead.
- New Business Models: The ability for AI agents to transact autonomously could unlock entirely new business models and services that are currently unfeasible due to payment limitations.
- Increased Liquidity: A surge in the volume and speed of transactions could lead to greater liquidity in various markets, facilitating faster capital flow and economic growth.
- Reduced Transaction Costs: By optimizing payment processes and reducing reliance on human intervention, AI-native systems have the potential to lower overall transaction costs for businesses.
However, this paradigm shift also introduces new considerations. The security of AI agent transactions, the governance of autonomous financial decision-making, and the regulatory frameworks surrounding AI-driven commerce will all require careful attention and development. The race to build the financial backbone of AI agents is not just a technological challenge; it is an economic and societal one, with the potential to reshape how value is exchanged in the digital age. Natural, with its substantial funding and ambitious vision, is positioning itself at the forefront of this transformative wave.
