Executive Overview
Yet, when the moment arrives to execute the final transaction and transfer capital, these highly sophisticated systems hit an insurmountable wall. They must pause, ping a human supervisor, and wait for manual authorization.
The bottleneck is not the intelligence of the AI, but the architecture of the financial system itself. Global payment rails—ranging from credit card networks to automated clearing houses (ACH)—were architected exclusively for human-initiated transactions. They rely on legacy authentication mechanisms, human-centric fraud models, and manual dispute-resolution frameworks. In an era where AI agents operate at sub-second speeds, forcing a human-in-the-loop to approve every transaction fundamentally cripples the utility of autonomous systems.
+-----------------------------------------------------------------------+
| THE AGENTIC PAYMENT GAP |
+-----------------------------------------------------------------------+
| |
| [ AI Agent Workflow ] |
| Identifies Vendors -> Compares Rates -> Negotiates Terms (Sub-second)|
| |
| VS. |
| |
| [ Legacy Financial Rails ] |
| Requires Credit Card / ACH / Multi-Factor Human Auth (Hours/Days) |
| |
+-----------------------------------------------------------------------+To resolve this fundamental mismatch, San Francisco-based startup Natural has emerged from stealth with a radical thesis: the global payment infrastructure must be rebuilt from the ground up specifically for autonomous machine-to-machine (M2M) commerce.
By positioning itself as an "agent orchestration layer" that allows AI agents to securely store, move, and settle funds, Natural aims to bypass the legacy rails that slow down autonomous software.
To fuel this ambitious mission, Natural has secured $30 million in Series A funding led by Kirsten Green’s Forerunner Ventures, bringing its total capitalized runway to $40 million. The company is entering direct competition with fintech giants like Stripe to establish the financial operating system for the next century of commerce.
Detailed Chronology: From Fintech Fatigue to a $40 Million Mandate
The genesis of Natural is rooted in the shifting macroeconomic realities of the fintech sector over the past half-decade.
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| NATURAL TIMELINE |
+---------------------------------------------------------------------------------+
| |
| [ 2023 ] |
| * Ivella (co-founded by Lalji & Wang) acquired by Earnin. |
| * Post-ZIRP environment introduces severe headwinds for traditional fintech. |
| |
| [ 2024 ] |
| * Lalji observes AI agents developing faster than financial architecture. |
| * Realizes legacy rails cannot support autonomous M2M transactions. |
| |
| [ 2025 ] |
| * Natural is founded by Kahlil Lalji, Eric Wang, and Walt Leung. |
| * Launches private beta of its agent orchestration layer. |
| * Secures $30M Series A led by Forerunner Ventures (Total funding: $40M). |
| |
+---------------------------------------------------------------------------------+The Post-ZIRP Pivot
Co-founder and CEO Kahlil Lalji is no stranger to the complexities of modern banking. Lalji previously co-founded Ivella, a Y Combinator-backed financial technology platform designed to help couples manage shared finances. In 2023, as the Federal Reserve’s aggressive interest rate hikes ended the Zero Interest Rate Policy (ZIRP) era, consumer fintech faced severe headwinds. Ivella was subsequently acquired by Earnin, an earned-wage access platform, where Lalji spent two years as an engineer.
Exiting the transaction, Lalji was admittedly fatigued by the highly regulated, margin-compressed world of retail finance. Yet, by late 2024, as LLMs transitioned from passive chat interfaces to active, tool-using agents, Lalji observed a massive, unaddressed architectural void. AI agents were scaling exponentially in capability, but they remained financially illiterate and legally incapable of holding or transacting capital.
Founding and Stealth Operations
Believing that "agentic payments" would emerge as the single most critical infrastructure bottleneck of the decade, Lalji re-partnered with his Ivella co-founder, Eric Wang. They recruited Walt Leung, a former engineering manager at Nextdoor, to serve as the third leg of the founding team.
In early 2025, the trio formally established Natural.
Operating largely in a private beta, the startup focused on solving the core computer-science and regulatory challenges associated with machine-authorized capital. Rather than acting as a simple wrapper around existing APIs, Natural set out to build a comprehensive orchestration layer capable of managing state, identity, and cryptographic authorization for non-human entities.
The Series A Inflection
The startup’s foundational thesis caught the attention of Kirsten Green, the founder and managing partner of Forerunner Ventures. Known for her early-stage bets on commerce-defining platforms, Green recognized that the future of commerce would not merely be human-to-business (H2B), but increasingly agent-to-agent (A2A).
Forerunner led a $30 million Series A round in Natural, a highly competitive fundraise that elevated the startup’s total funding to $40 million. This capital injection provides Natural with the balance-sheet strength required to recruit premium engineering talent and navigate the complex compliance landscape of enterprise payment transmission.
Supporting Context & Metrics: The Friction of Legacy Rails in an AI Era
To understand why Natural is raising tens of millions of dollars to build new payment infrastructure, one must analyze the technical limitations of current financial systems when subjected to machine workloads.
The Human-in-the-Loop Bottleneck
Legacy payment rails—such as the Automated Clearing House (ACH) network in the United States or traditional credit card processing systems—rely heavily on human-centric security paradigms. These paradigms assume that every transaction is initiated by a human who can:
- Provide multi-factor authentication (MFA) via a smartphone.
- Solve a CAPTCHA.
- Manually review billing discrepancies.
- Provide physical signature authorization or biometric validation (e.g., FaceID).
For an AI agent designed to execute thousands of micro-transactions per minute across global supply chains, these requirements introduce catastrophic friction. If an agent must halt operations to wait for a human manager to approve a $5.00 API or delivery fee, the efficiency gains of automation are instantly neutralized.
Structural Misalignments of Legacy Rails
| Feature / Metric | Legacy Payment Rails (ACH, Cards, Swift) | The Natural Orchestration Layer |
|---|---|---|
| Primary Authorization Basis | Static credentials, physical signatures, human MFA | Dynamic cryptographic keys, agent identity verification |
| Settlement Latency | 1 to 5 business days (ACH/Wire batching) | Real-time to sub-second clearing |
| Transaction Cost Structure | High flat fees plus percentage cuts (unsuitable for micro-payments) | Optimized for high-velocity, variable-value machine transactions |
| Dispute Resolution | Manual, reactive chargeback windows (up to 90 days) | Programmatic, real-time dispute arbitration |
| Scalability Limit | Linear scale bound to human operational speed | Exponential scale bound to computer processor speed |
The Scale of the Machine Economy
The macroeconomic implications of removing human friction from payments are staggering. Currently, the global payment volume is strictly throttled by human waking hours, cognitive bandwidth, and physical consumption limits.
When transactions are negotiated, verified, and executed entirely by software agents, the velocity of capital changes completely. A single enterprise agent might execute millions of micro-transactions a day—paying for compute, data, logistics, and micro-services in real time.
Fintech analysts project that the transition to machine-to-machine commerce could increase global transaction volumes by two to four orders of magnitude over the next decade. Legacy databases and clearinghouses are simply not engineered to handle this level of concurrency and throughput.
Official Statements & Strategic Vision: Inside the Technology of Natural
Natural’s leadership team and its investors view the company not merely as an alternative payment gateway, but as the foundational financial operating system for the machine economy.
"It just feels obvious that agentic payments are going to be structurally the most important problem in the space."
— Kahlil Lalji, Co-Founder and CEO of NaturalLalji emphasizes that attempting to patch existing financial architecture to accommodate AI is a fundamentally flawed approach. The industry requires an entirely new orchestration layer that handles the unique state changes of autonomous software:
"About a year ago, we realized that AI agents were evolving faster than the underlying financial architecture. Traditional rails simply cannot support tasks like autonomously paying a vendor, collecting payments, or transacting with other agents. We had to rethink how funds are stored, how identity is verified for non-human entities, and how risk is mitigated at computer speed."
Reimagining the Dispute Framework
A key differentiator for Natural is its approach to risk and dispute resolution. In traditional commerce, if a consumer is unsatisfied with a product, they initiate a manual chargeback process through their issuing bank—a process that can drag on for months.
In an ecosystem where AI agents are transacting autonomously, disputes must be resolved programmatically. Natural is building a real-time, rule-based dispute-resolution infrastructure that can arbitrate conflicts between transacting agents based on cryptographic proofs, delivery receipts, and pre-defined service-level agreements (SLAs).
Investor Kirsten Green of Forerunner Ventures was drawn to Natural precisely because of this expansive, structural ambition. Rather than building a superficial checkout tool for AI agents, Natural is addressing the core plumbing of transactional trust:
"Natural isn’t just focused on helping agents pay for and check out goods on behalf of consumers. They are trying to reinvent the fundamental payment infrastructure, including how disputed transactions are handled in a world where humans are no longer the primary transacting parties."
Future Outlook: The Dawn of the Multi-Trillion-Dollar Machine Economy
As Natural transitions from its private beta to broader commercial availability, the startup faces a highly competitive and rapidly consolidating landscape.
The Battle for the Agentic Ledger
Natural is positioning itself to compete directly with Stripe, the undisputed giant of internet payments. Stripe has recently mobilized significant engineering resources to adapt its existing API infrastructure for AI agents, recognizing that its long-term dominance depends on capturing the developer mindshare of the AI era.
However, Natural’s leadership believes that legacy incumbents are structurally disincentivized to fully abandon the high-fee, human-centric models that generate their current revenues. By starting with a clean slate, Natural can design its ledger and settlement systems without the technical debt of 40-year-old banking integrations.
This clear-cut vision has already made Natural a major talent magnet in Silicon Valley. The startup has successfully poached senior engineering and product talent from top-tier fintech firms, including:
- Stripe
- Ramp
- Square
These industry veterans are migrating to Natural because they recognize that the next major wave of fintech innovation will not occur in consumer wallets or corporate expense cards, but in the invisible backend rails connecting autonomous agents.
+-------------------------------------------------------+
| THE AGENTIC PAYMENT LANDSCAPE |
+-------------------------------------------------------+
| |
| [ Traditional Fintechs ] |
| Stripe, Adyen |
| * Legacy-first, adapting for AI developer APIs |
| |
| [ Hybrid Infrastructure ] |
| Natural |
| * Built-for-purpose agent orchestration layer |
| * Dual-rail: Traditional Banking + Stablecoins |
| |
| [ Crypto-Native Startups ] |
| Skyfire Systems |
| * Pure stablecoin/Web3-centric micro-payments |
| |
+-------------------------------------------------------+The Architectural Divide: Stablecoins vs. Fiat
Another battleground is emerging around the settlement assets used by AI agents. Competitors like the DCVC-backed Skyfire Systems are betting heavily on Web3 architecture, utilizing USD-backed stablecoins on public blockchains to enable instant, borderless micro-payments between machines.
Natural is taking a more pragmatic, dual-rail approach. While the company plans to fully incorporate stablecoins and cryptographic assets into its architecture to facilitate high-speed micro-transactions, it is also building deep, native integrations with traditional banking systems (such as FedNow and RTP). This hybrid approach ensures that Natural-enabled agents can seamlessly transact with both cutting-edge Web3 systems and legacy corporate bank accounts.
Conclusion: The Velocity of Autonomous Capital
Ultimately, the race to build the payment infrastructure for AI is a race to unlock a new dimension of economic productivity. When capital can flow at the speed of software execution rather than the speed of human decision-making, the entire concept of business velocity will be redefined.
Backed by $40 million in capital, a world-class engineering team, and a bold vision to replace legacy financial rails, Natural is uniquely positioned to sit at the center of this transition—serving as the financial backbone for the multi-trillion-dollar machine economy of tomorrow.
