The rapid evolution of artificial intelligence has moved beyond simple text generation and into the realm of autonomous execution, where AI agents are increasingly capable of managing complex, multi-step workflows. While these agents can now identify logistics providers, negotiate shipping rates, and coordinate delivery schedules, they remain tethered to a significant bottleneck: the requirement for human intervention to finalize financial transactions. This friction point marks the emergence of a new frontier in fintech, as startups race to build the infrastructure necessary for "agentic payments." Natural, a burgeoning player in this space, has secured $30 million in Series A funding to address this fundamental disconnect between autonomous software and the legacy financial systems designed for human users.

Led by Kirsten Green at Forerunner Ventures, this latest funding round brings Natural’s total capital to $40 million. The investment underscores a growing conviction among venture capitalists that the next phase of the digital economy will be driven by machine-to-machine transactions. As AI agents move from advisory roles to operational ones, the traditional "financial rails"—the underlying networks like ACH, Fedwire, and credit card processors—are proving insufficient. These systems were built on the assumption of human authorization, often requiring biometric verification, multi-factor authentication, or manual signatures, all of which act as inhibitors to the speed and autonomy promised by AI.

The Structural Mismatch Between AI and Legacy Finance

To understand the necessity of Natural’s mission, one must examine the limitations of current financial architecture. Most modern payment systems are synchronous or require manual checkpoints to mitigate fraud and ensure compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations. For a human, waiting three days for an ACH transfer to clear or entering a CVV code for a credit card purchase is a standard, if slightly inconvenient, part of commerce. For an AI agent operating at computer speed, these delays are catastrophic.

An AI agent designed to optimize a supply chain might need to execute hundreds of micro-transactions per second to secure the best prices for raw materials or energy. Current credit card rails, which charge significant percentage-based fees and flat per-transaction costs, make these micro-payments economically unfeasible. Furthermore, the security protocols governing these accounts are triggered by "unusual activity," a category that almost certainly includes an autonomous script attempting to make thousands of rapid-fire purchases.

Natural aims to solve this by acting as an "agent orchestration layer." This layer serves as a bridge, allowing AI agents to hold funds in secure accounts, authorize payments based on pre-defined programmatic logic, and transact with both human-led businesses and other autonomous agents. By redesigning these rails from the ground up, Natural is positioning itself as the financial backbone for a world where software, not just people, holds the purse strings.

The Evolution of Natural: From Ivella to Agentic Commerce

The genesis of Natural lies in the professional journey of its co-founder and CEO, Kahlil Lalji. Lalji is a veteran of the fintech sector, having previously co-founded Ivella, a Y Combinator-backed banking platform designed for couples. Following the acquisition of Ivella by Earnin in 2023, Lalji spent two years as an engineer, gaining deeper insights into the mechanics of high-volume financial products.

Despite a desire to pivot away from the highly regulated and often grueling finance sector—particularly after the volatility of the post-Zero Interest Rate Policy (ZIRP) era—Lalji found the potential of agentic payments too significant to ignore. He observed that while the "intelligence" layer of AI was advancing at an exponential rate, the "transactional" layer remained stagnant.

In early 2025, Lalji reunited with his Ivella co-founder Eric Wang and teamed up with Walt Leung, a former engineering manager at Nextdoor. Together, they founded Natural with the specific goal of building a payment system that treats AI agents as first-class citizens. The startup has already attracted top-tier talent from established fintech giants including Stripe, Ramp, and Square, signaling a high level of industry confidence in their technical approach.

Funding and Strategic Vision

The $30 million Series A round led by Forerunner Ventures is a strategic endorsement of Natural’s broader ambitions. Forerunner, known for its early bets on consumer-facing disruptors like Chime and Dollar Shave Club, is looking toward the future of how commerce is conducted. Kirsten Green, the firm’s managing partner, noted that Natural’s value proposition extends beyond simple "check-out" capabilities for AI.

Natural is also tackling the complex issue of dispute resolution in an automated environment. In traditional commerce, a human can call their bank to dispute a charge if a product is never delivered. In an agentic economy, the system must be able to autonomously verify delivery and handle disputes through code-based escrow or automated arbitration. Natural is building these safeguards into its core infrastructure, ensuring that as agents become more autonomous, the risk of financial loss due to errors or malicious actors is mitigated.

The company has spent its initial phase in a controlled beta, refining its architecture to ensure it can handle the scale and security requirements of enterprise clients. With the new capital, Natural plans to scale its engineering team and accelerate its go-to-market strategy, directly challenging incumbents who are also eyeing this space.

The Competitive Landscape: Stripe vs. The New Guard

The race to dominate agentic payments is not a solo run. Stripe, currently the most valuable private fintech company in the United States, has also begun vocalizing its intentions to support AI-driven commerce. Stripe’s vast existing network of merchants gives it a significant head start, but Lalji believes Natural’s advantage lies in its lack of legacy baggage.

While Stripe must adapt its existing human-centric infrastructure to accommodate agents, Natural is building specifically for machines. This allows for a more streamlined, "API-first" approach that doesn’t have to account for the legacy requirements of physical cards or traditional banking interfaces.

Furthermore, Natural is competing with a wave of "crypto-native" fintech startups. Companies like Skyfire Systems, backed by DCVC, are utilizing USD-backed stablecoins on blockchain rails to facilitate agentic payments. The argument for stablecoins is compelling: they offer near-instant settlement and are inherently programmable. However, Natural is taking a hybrid approach. While the company plans to integrate stablecoin support, it is also building robust connections to traditional banking systems. This dual-track strategy ensures that Natural can serve the burgeoning Web3 economy while remaining compatible with the trillions of dollars currently held in traditional fiat accounts.

Data and Projections: The Scale of Machine Commerce

The economic implications of autonomous payments are staggering. Currently, the global payments market is limited by the number of humans on the planet and the frequency with which they can physically or mentally initiate a transaction.

Lalji suggests that when transactions move at "computer speed," the volume of payments could increase by two to four orders of magnitude. For context:

• Human-initiated transactions: A typical consumer might make 3 to 10 transactions per day.
• Agent-initiated transactions: A single AI agent managing a corporate cloud computing budget or an automated advertising desk could initiate thousands of micro-transactions per hour.

According to industry analysts, the "Agentic Web" could represent a multi-trillion dollar shift in GDP over the next decade. If AI agents are responsible for procuring goods, managing subscriptions, and trading resources, the infrastructure that facilitates those moves will become the most valuable real estate in the financial world.

Implications for the Future of Work and Commerce

The rise of agentic payments signals a shift in the role of the human in the economic cycle. If Natural succeeds, the human role shifts from "executor" to "governor." Instead of manually paying invoices, a business owner will set high-level parameters—budgets, preferred vendors, and risk tolerances—and the AI agent, powered by Natural’s rails, will handle the rest.

However, this transition also raises significant questions regarding accountability. If an autonomous agent makes an unauthorized or erroneous payment, who is liable? Natural’s focus on building a "dispute layer" is a direct response to these concerns. By creating a transparent, auditable trail of agent activity, the company aims to provide the trust necessary for enterprises to hand over the keys to their bank accounts to software.

Conclusion

The $30 million investment in Natural is more than just a vote of confidence in a single startup; it is a recognition that the current financial system is reaching its "human-limit." As AI agents become more sophisticated, the friction of legacy banking becomes more apparent. By building a dedicated orchestration layer for agentic payments, Natural is attempting to unlock a new era of high-frequency, autonomous commerce. Whether it can outpace the likes of Stripe and the emerging stablecoin platforms remains to be seen, but the stakes—the financial foundation of the AI era—could not be higher.