The financial technology sector is witnessing a fundamental shift as the rise of autonomous artificial intelligence agents necessitates a complete overhaul of global payment systems. Natural, a startup founded by seasoned fintech entrepreneurs, has announced the successful closing of a $30 million Series A funding round led by Forerunner. This latest injection of capital, which brings the company’s total funding to $40 million, is earmarked for the development of a specialized financial orchestration layer designed specifically for non-human entities. As AI agents move beyond simple information retrieval toward executing complex, multi-step commercial tasks—such as procurement, logistics coordination, and vendor management—they have encountered a significant bottleneck: the legacy financial rails of the 20th century.

Today’s global financial infrastructure, encompassing credit card networks, the Automated Clearing House (ACH) system, and international wire transfers, was built with the assumption that a human being would always be the ultimate initiator and authorizer of a transaction. For an AI agent designed to operate at millisecond speeds, the requirement to "wait for human approval" or navigate a two-factor authentication prompt on a smartphone represents a systemic failure. Natural aims to resolve this friction by building a ground-up architecture that allows AI agents to hold, move, and settle funds autonomously, potentially ushering in an era where the volume of global transactions increases by several orders of magnitude.

The Structural Incompatibility of Legacy Financial Rails

To understand the necessity of Natural’s mission, one must examine the current state of financial "rails"—the underlying networks that move money between institutions. Systems like ACH, established in the 1970s, often require several business days for settlement and were designed for batch processing rather than real-time interaction. Even more modern consumer-facing systems, such as credit cards, are heavily reliant on fraud detection algorithms that are optimized for human behavior. When an AI agent attempts to make 500 micro-payments in a single minute to different vendors, traditional banking security protocols often flag the activity as a cyberattack or fraudulent behavior, leading to immediate account freezes.

Furthermore, the legal and operational framework of current banking is built around "Know Your Customer" (KYC) and "Anti-Money Laundering" (AML) regulations that identify a specific human or corporate legal entity. AI agents, which can be spun up by the thousands in cloud environments, do not fit neatly into these compliance buckets. Natural’s approach involves creating an orchestration layer that serves as a bridge, providing the necessary compliance and security wrappers that allow agents to act as authorized extensions of a business or individual, without requiring a manual "click-to-approve" for every discrete action.

A Chronology of Natural’s Development

The genesis of Natural can be traced back to the post-Zero Interest Rate Policy (ZIRP) era of 2023. Kahlil Lalji, the co-founder and CEO of Natural, had recently exited his previous venture, Ivella—a Y Combinator-backed banking product for couples—which was acquired by the financial app Earnin. Despite his background in engineering and finance, Lalji initially expressed a desire to move away from the fintech sector, citing the exhaustion of navigating the highly regulated and often slow-moving industry during a period of economic contraction.

However, by early 2024, the rapid advancement of Large Language Models (LLMs) and the emergence of "agentic" workflows made it clear that a massive infrastructure gap was forming. Lalji observed that while developers were building agents capable of identifying freight vendors and negotiating shipping prices, these agents remained "stranded" at the point of checkout. In 2025, Lalji officially teamed up with Eric Wang, his former co-founder at Ivella, and Walt Leung, a former engineering manager at Nextdoor, to launch Natural.

The startup operated in a quiet beta phase throughout late 2024 and early 2025, focusing on the critical architectural decisions required to handle disputed transactions and cross-border settlements between autonomous entities. The successful $30 million Series A round led by Kirsten Green of Forerunner marks the company’s transition into a high-growth phase, characterized by aggressive hiring from established fintech giants including Stripe, Ramp, and Square.

Market Context and the Competitive Landscape

Natural enters a market that is increasingly viewed as the "holy grail" of the next generation of fintech. Its primary competitor is Stripe, the industry incumbent currently valued at approximately $70 billion. Stripe has recently pivoted significant resources toward "Stripe for Agents," recognizing that if they do not capture the AI-to-AI transaction market, they risk losing a significant portion of future payment volumes.

However, Natural’s leadership believes that being a "native" builder for the AI era provides a distinct advantage. Unlike incumbents that must retrofit 15-year-old codebases to accommodate agents, Natural is building its ledger and dispute-resolution engine specifically for high-velocity, non-human transactions. Other entrants in the space include Skyfire Systems, which is backed by DCVC and focuses on using USD-backed stablecoins to bypass traditional banking delays entirely. While Natural plans to utilize stablecoins where appropriate, the company is distinguishing itself by also building deep integrations into traditional bank-to-bank rails, ensuring that AI agents can interact with the "old world" of finance as easily as the "new world" of digital assets.

Supporting Data and Economic Projections

The economic rationale for Natural’s $30 million valuation is rooted in the projected explosion of transaction volumes. According to recent reports from McKinsey & Company, generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually to the global economy. A significant portion of this value will be realized through "autonomous commerce."

Kahlil Lalji posits that when transactions move at "computer speed" rather than "human speed," the frequency of payments will shift from a daily or monthly cadence to a per-second or per-task cadence. For example:

• Current Model: A company pays a logistics provider once a month for 1,000 shipments via a single ACH transfer.
• Agentic Model: An AI agent pays for each individual mile of freight delivery in real-time, adjusting for fuel prices and traffic conditions, resulting in thousands of micro-transactions.

This shift suggests that the total addressable market (TAM) for payment processors could grow by 10x to 100x as agents begin to manage supply chains, digital advertising auctions, and energy grid balancing autonomously.

Strategic Backing and Official Responses

The involvement of Forerunner’s Kirsten Green is a significant signal to the market. Forerunner is traditionally known for its early bets on consumer-facing icons like Warby Parker and Dollar Shave Club. Green’s decision to lead a Series A for a deep-infrastructure fintech company reflects a belief that the "consumer experience" of the future will be mediated by agents.

"We are looking at a future where commerce is no longer just a human browsing a website," a spokesperson for the investment community noted regarding the round. "Natural is building the plumbing that makes that future possible. If an agent can’t pay, the agent can’t truly work."

In response to the funding, Lalji emphasized that the goal is not merely to facilitate payments, but to reinvent how financial trust is established. "Existing systems are built on the idea of a signature or a PIN," Lalji stated. "In the agentic world, trust is built on cryptographic proof and programmatic constraints. We are building the layer that translates those two worlds."

Broader Implications and Future Outlook

The success of Natural could have profound implications for the global labor market and corporate efficiency. By removing the "human-in-the-loop" requirement for financial operations, companies can significantly reduce the overhead associated with accounts payable and receivable departments. However, this shift also raises critical questions regarding regulatory oversight. Regulators at the Consumer Financial Protection Bureau (CFPB) and the Federal Reserve have yet to issue specific guidance on "agentic liability"—the question of who is legally responsible when an AI agent makes an unauthorized or erroneous payment.

Natural’s architecture includes built-in "guardrails" that allow human supervisors to set spending limits and categorical restrictions on agent behavior. This "semi-autonomous" approach is expected to be the standard for the next three to five years as the legal framework catches up to the technology.

As Natural scales, its biggest challenge will be achieving the same level of ubiquity as Stripe or PayPal. For an AI payment rail to be successful, it must be accepted by a vast network of merchants and service providers. With $40 million in total funding and a team comprised of industry veterans, Natural is positioned to be a primary architect of this new financial reality, betting that the future of the economy will be driven by machines that can not only think and communicate but also transact.