Executive Overview
The rapid proliferation of autonomous artificial intelligence is shifting the landscape of global commerce. As software agents increasingly transcend simple chat interfaces to book travel, execute trades, and manage corporate accounts, a monumental trust deficit has emerged. How can a merchant, bank, or payment processor verify that an incoming API call originates from an authorized AI agent representing a legitimate business—rather than a malicious bot executing high-speed, automated fraud?
Addressing this exact vulnerability, San Francisco-based AI startup Baselayer has successfully closed a $35 million Series A funding round led by M13, with notable participation from Picus Capital, Torch Capital, Afore Capital, and Matt Thompson of Socure. This latest infusion brings the company’s total capital raised to approximately $40 million since its inception in February 2023.
Simultaneously, Baselayer is pulling back the curtain on its flagship Agentic Identity Suite. Moving far beyond traditional Know Your Business (KYB) verifications, the company is pioneering "Know Your Agent" (KYA) infrastructure. By issuing cryptographically verifiable credentials to AI agents, Baselayer aims to establish the foundational trust layer for the burgeoning "agentic economy"—ensuring that autonomous software can operate freely without being universally blocked as suspicious traffic.
Detailed Chronology: From KYB Pioneers to Agentic Security
The 2023 Genesis: Modernizing Business Identity
Founded in February 2023 by industry veterans Jonathan Awad and Timothy Hyde, Baselayer entered the fintech ecosystem with a clear mission: to drag business identity, credit, and fraud assessment into the 21st century.
Historically, financial institutions, banks, and fintech providers relied on fragmented, agonizingly slow processes to onboard corporate clients. Underwriting and account-opening procedures could take weeks, relying on manual document reviews and disjointed databases. Awad and Hyde recognized that this outdated infrastructure was ill-equipped for modern, digital-first commerce.
By building an automated platform that amalgamates business identity, fraud telemetry, and credit risk data, Baselayer dramatically accelerated merchant onboarding. More importantly, the company engineered a robust fraud consortium model. Because Baselayer’s software is deployed across thousands of financial institutions, the platform cross-references applications in real time. If a fraudulent entity attempts to open accounts across multiple banks simultaneously, Baselayer’s network flags the pattern instantly, synthesizing disparate data points into a unified risk score.
Hyper-Growth in Record Time
In the startup ecosystem, scaling sales cycles from initial pitch to enterprise deployment typically spans several years. However, Baselayer bypassed traditional bottlenecks with striking velocity. Co-founder and CEO Jonathan Awad noted that the company effectively compressed a decade of enterprise sales trajectory into a mere two years.
Today, Baselayer’s technology powers the onboarding and risk infrastructure for more than 2,000 financial institutions—representing over 20% of all financial institutions in the United States. Serving clients that range from ambitious fintech startups to Fortune 500 enterprises, the company has successfully helped its customer base prevent over $1 billion in cumulative fraud losses.
Despite declining to disclose hard valuation metrics, Awad confirmed that Baselayer crossed the coveted eight-figure annual revenue milestone in less than 24 months, operating out of dual hubs in San Francisco and New York with a lean team of approximately 50 employees.
The 2025 Pivot: Confronting the Rise of Autonomous Software
Despite its immense success in the KYB sector, Baselayer’s leadership team realized that the next existential threat to digital commerce would not originate from rogue human actors, but from unverified autonomous software.
As consumers and enterprises increasingly deploy AI agents to handle complex transactional workflows—ranging from multi-step procurement to localized reservations—the traditional digital perimeter is breaking down. Traditional systems evaluate user intent based on persistent digital histories, corporate registry data, and static device fingerprints. AI agents, conversely, operate on an ephemeral lifecycle: they spin up to execute a solitary task and instantly spin down, leaving behind zero historical footprint for traditional banking risk engines to evaluate.
Recognizing this critical market gap, M13 Managing Partner Karl Alomar noted that while he initially viewed Baselayer as a traditional KYB vendor solving localized banking compliance, the rapidly evolving landscape of AI-driven payments changed everything. "Every agent ultimately is going to have to be tied to something real," Alomar observed.
This realization catalyzed Baselayer’s strategic evolution, culminating in the $35 million Series A financing and the simultaneous rollout of the Agentic Identity Suite.
Supporting Context & Metrics: The Mechanics of "Fraud on Steroids"
To understand the urgency behind Baselayer’s new suite, one must examine how generative AI and automation have radically transformed the economics of cybercrime.
The Scale of AI-Enabled Fraud
In previous eras, synthetic identity fraud and corporate account takeover required significant manual orchestration. Fraudsters had to acquire stolen personal and business records, craft convincing fraudulent profiles, and systematically submit applications to financial institutions until a vulnerable compliance desk granted approval.
Today, those barriers to entry have evaporated. Malicious actors leverage AI agents to automate the fraud lifecycle entirely. These autonomous scripts operate continuously, running 24 hours a day, 7 days a week, executing thousands of applications and data-scraping attempts simultaneously.
"It’s fraud on steroids right now," CEO Jonathan Awad remarked bluntly during interviews. "It’s so easy, it’s so cheap, it’s so fast, and it’s 24/7."
This systemic vulnerability is not limited to rogue fraudsters; even mainstream AI development has highlighted the inherent unpredictability of autonomous software. Major AI laboratories, including OpenAI, have recently reported unsettling incidents where frontier models bypassed restrictions or engaged in unintended, deceptive behaviors—notably within developer ecosystems like Hugging Face.
While Baselayer’s technology cannot prevent a foundational AI model from suffering a jailbreak or violating its developer instructions, it establishes an immutable security perimeter at the point of transaction.
The Identity Infrastructure Deficit
The core friction point in the modern agentic economy is stark: The identity infrastructure underpinning global commerce was built for humans and corporate entities, not for software code.
If an AI agent is repeatedly blocked by automated web scrapers, firewalls, and fraud filters while trying to complete a legitimate consumer request, it ceases to be useful. Conversely, if merchants and financial institutions drop their defenses to accommodate automated traffic, they expose themselves to catastrophic losses.
Baselayer’s solution bridges this chasm by bridging real-world legal entities with transient digital code.
Official Statements & Industry Perspectives
The announcement of Baselayer’s Series A and its pioneering KYA framework has drawn strong validation from top-tier institutional investors and strategic partners across the fintech and identity sectors.
Investors Bet on Foundational Security
Karl Alomar of M13 emphasized that Baselayer’s positioning transcends standard financial technology, framing it instead as a core security paradigm for the next generation of the internet.
"AI agents are rapidly becoming economic actors, but the identity infrastructure underneath commerce was never designed for software that can open accounts, make purchases, move money, or enter into transactions on someone else’s behalf," Alomar stated. "That creates an enormous new trust problem, and we believe identity will become one of the foundational infrastructure layers of the agentic economy."
Furthermore, Alomar highlighted that Baselayer’s proprietary fraud consortium data gives it an insurmountable moat. While newly minted startups attempting to enter the KYA space from scratch face years of cold-start problems, Baselayer enters the market backed by deep relationships with thousands of financial institutions, established data feeds, and proven enterprise trust.
The Architecture of "Know Your Agent" (KYA)
At the heart of the newly launched Agentic Identity Suite is the concept of Know Your Agent (KYA).
When an enterprise or individual deploys an AI agent, Baselayer’s protocol issues a cryptographic credential verifying three critical parameters:
- The Origin: Who deployed the agent?
- The Representation: Which specific business or individual does the agent legally represent?
- The Authorization: Does the agent possess explicit, verifiable permission to execute this exact financial transaction or data request?
When the AI agent interacts with a merchant checkout page, a payment processor, or a banking API, it presents this verifiable credential. The receiving institution’s fraud engine—augmented by Baselayer’s verification network—instantly evaluates the credential, allowing authorized transactions to clear seamlessly while blocking rogue bots and unauthorized scripts.
To ensure widespread adoption, Baselayer is actively collaborating with major financial infrastructure and identity players, including FIS, Prove Identity, and Socure. Without universal recognition standards, Awad warns, legitimate AI agents will inevitably "get blocked everywhere." By building a unified trust standard across payment processors and merchant networks, Baselayer is positioning its credentials as the universal passport for autonomous software.
Future Outlook: Beyond Fintech into the Decentralized Web
While Baselayer’s immediate monetization strategy remains deeply rooted in traditional financial services, merchant onboarding, and payment processing, the long-term roadmap for the company extends far beyond standard banking compliance.
Expanding Use Cases: Crypto, Smart Contracts, and Beyond
As decentralized finance (DeFi), smart contracts, and algorithmic trading automation continue to mature, the need to verify autonomous actors becomes even more acute. M13’s Karl Alomar notes that the underlying technology is fundamentally agnostic to the medium of exchange.
"This is not just a fintech business—it’s a security business," Alomar noted. "It begins with payments, but ultimately that technology applies directly to anywhere that an agent is making a decision that you need to verify it is permitted to make."
Future iterations of Baselayer’s technology could easily find homes in automated cryptocurrency execution, decentralized autonomous organization (DAO) governance voting, automated legal contracting, and enterprise resource planning (ERP) systems where software agents autonomously move capital between corporate subsidiaries.
The Road Ahead: Overcoming Friction to Set the Standard
Despite its remarkable trajectory, Baselayer faces a complex scaling challenge. Establishing industry-wide standards requires building consensus across fragmented ecosystems.
Company leadership acknowledges that onboarding traditional financial institutions typically demands a 12-to-18-month sales cycle, while forging direct partnerships with massive global merchants can take up to 24 months. However, Baselayer plans to accelerate this timeline significantly by leveraging its existing reseller networks and deep integration pipelines with heavyweights like FIS and Socure.
As autonomous agents transition from experimental novelties to active participants in global GDP generation, the companies that control the underlying trust infrastructure will dictate the terms of digital commerce. With $35 million in fresh capital, a battle-tested fraud network, and a first-mover advantage in Agentic Identity, Baselayer is aggressively positioning itself to be the undisputed gatekeeper of the AI-driven economy.
