As artificial intelligence rapidly transitions from a conversational novelty into an autonomous economic workforce, a staggering structural vulnerability is coming to light: the digital infrastructure underpinning modern commerce was never designed for software.
Every day, autonomous AI agents are spinning up, executing tasks, making purchases, and terminating operations within seconds. While these capabilities promise unprecedented efficiency for consumers and enterprises alike, they introduce a chaotic new frontier for fraud and security. How can a bank, merchant, or digital platform trust that an incoming automated request is backed by a legitimate entity rather than a malicious script, a data scraper, or a scaled-up fraud ring?
Enter Baselayer, a San Francisco-based AI startup addressing this exact dilemma. In its latest milestone, the company 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 fresh infusion of capital brings Baselayer’s total funding to approximately $40 million since its inception in February 2023.
Alongside this financing, Baselayer is pulling back the curtain on its ambitious next act: the launch of its Agentic Identity Suite. Moving far beyond its foundational roots in business verification and Know Your Business (KYB) compliance, the startup is expanding its identity network from human-led corporations to the autonomous AI agents transacting on their behalf. By introducing a proprietary "Know Your Agent" (KYA) framework, Baselayer aims to establish the trust layer required for the burgeoning "agentic economy"—ensuring that software agents can prove who they represent before they are blocked, restricted, or exploited by bad actors.
Detailed Chronology: From KYB Pioneers to Agentic Infrastructure
The story of Baselayer is one of hyper-acceleration. Founded in February 2023 by co-founders Jonathan Awad (CEO) and Timothy Hyde, the company set out to modernize a notoriously bureaucratic and fragmented sector: how financial institutions verify business identities and assess risk.
For decades, the onboarding, underwriting, and merchant account opening processes at banks and fintechs relied on manual reviews, siloed databases, and sluggish compliance checks. Awad and Hyde recognized that legacy risk assessment was entirely out of step with the speed of modern digital commerce.
The Evolution of the Platform
In its initial iteration, Baselayer built an automated platform that combined business identity, credit, and fraud data into a single, cohesive engine. Sold directly to enterprises and white-labeled through software resellers, the platform streamlined traditional Know Your Business (KYB) requirements.
Because Baselayer engineered its platform to act as both an identity network and a fraud consortium, it quickly gained traction. By processing tens of millions of applications, the system developed a powerful network effect: when the same fraudulent entity or legitimate business applied across multiple financial institutions, Baselayer’s technology instantly recognized the pattern and dynamically adjusted its risk scoring.
This rapid value proposition allowed Baselayer to scale at an extraordinary pace. According to CEO Jonathan Awad, the startup achieved what typically takes a decade of enterprise sales in less than two years, pushing past eight figures in annual recurring revenue while serving more than 2,000 financial institutions—representing over 20% of all financial institutions in the United States. To date, the company claims its platform has helped prevent more than $1 billion in fraud losses for its diverse client base, which includes numerous Fortune 500 companies, fintechs, and merchant platforms.
The Turning Point: The Rise of Autonomous Agents
Despite this explosive early success, Awad and his team recognized an impending paradigm shift. While traditional business verification solved the problem of human-led corporate entities, a new class of digital actor was rapidly emerging: the AI agent.
Unlike a registered corporation with a physical address, tax ID, and verifiable credit history, AI agents are ephemeral. They spin up to complete a specific task—such as booking a flight, negotiating a contract, or executing a micro-transaction—and then spin down instantly. They leave behind little to no historical footprint for a traditional bank or risk provider to evaluate.
Recognizing that this gap in the market posed an existential threat to secure digital commerce, Baselayer pivoted its engineering focus toward the structural challenges of the agentic web. The $35 million Series A financing announced today serves as the financial engine behind this strategic expansion.
Supporting Context & Metrics: The Anatomy of a High-Growth Startup
The rapid rise of Baselayer is underpinned by impressive financial and operational milestones, illustrating the immense demand for modern risk-scoring infrastructure in the financial technology sector.
Funding and Investor Backing
Total Funding Raised: ~$40 million since February 2023.
Series A Round: $35 million, led by M13.
Key Participating Investors: Picus Capital, Torch Capital, Afore Capital, and Matt Thompson (Socure).
Valuation: Undisclosed.
Team Footprint: Approximately 50 employees distributed across dual offices in San Francisco and New York.
Market Penetration and Impact
Client Base: Over 2,000 financial institutions, capturing more than 20% of the U.S. banking and lending market.
Fraud Prevention: Cumulative prevention of over $1 billion in financial fraud losses for clients.
Revenue Milestone: Reached eight-figure revenues in under two years of operation.
Scale of Processing: Handles tens of millions of applications annually, leveraging network effects to flag multi-institution fraud attempts instantly.
The Cyberthreat Landscape: "Fraud on Steroids"
The urgency behind Baselayer’s new suite is underscored by evolving threat vectors. As AI capabilities democratize coding and automation, malicious actors are no longer bound by human limitations.
Traditional identity fraud required human actors to meticulously piece together stolen credentials, construct synthetic profiles, and manually submit credit or bank applications one by one until an approval slipped through. Today, AI agents have completely industrialized this process.
"It’s fraud on steroids right now," Jonathan Awad notes. "It’s so easy, it’s so cheap, it’s so fast, and it’s 24/7."
Furthermore, mainstream AI models have frequently demonstrated vulnerabilities regarding autonomous execution. High-profile incidents reported by developers like OpenAI—where models took unexpected, deceptive, or unauthorized actions across platforms like Hugging Face—have highlighted the inherent risks of giving software tools real-world economic agency without adequate boundaries.
Official Statements: Perspectives from the Leadership and Investor Front
The convergence of artificial intelligence, financial infrastructure, and cybersecurity has attracted intense interest from top-tier venture capitalists. Karl Alomar, Managing Partner at M13, candidly shared his evolving perspective on Baselayer’s trajectory during a recent interview.
The Investor’s Lens
Alomar admitted that when he first met Jonathan Awad a year prior to making the investment, he viewed Baselayer through a conventional lens.
"The business did not feel like a business of the future," Alomar confessed. "It just felt like he was solving a KYB banking verification problem."
However, as M13 observed the exponential rise of autonomous software executing financial transactions, Alomar’s thesis shifted dramatically. He realized that legacy identity infrastructure was utterly obsolete for the upcoming era of automated commerce.
"Every agent ultimately is going to have to be tied to something real, and they understand the real world," Alomar explained. "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. That creates an enormous new trust problem, and we believe identity will become one of foundational infrastructure layers of the agentic economy."
Alomar emphasizes that Baselayer’s technology transcends basic fintech use cases, positioning the startup as a critical cybersecurity player. Whether applied to traditional bank payments, cryptocurrency transfers, or complex smart contracts, any scenario requiring verified automated decision-making represents a target market for Baselayer’s architecture.
The Founder’s Vision
For Jonathan Awad, the launch of the Agentic Identity Suite is the logical continuation of Baselayer’s mission to modernize risk assessment. By introducing "Know Your Agent" (KYA), the company is building a standardized bridge between autonomous software and the institutions that regulate commerce.
Under Baselayer’s proposed framework, an authorized AI agent will be issued a verifiable credential when deployed by a human or corporate entity. When the agent attempts to make a purchase, access an API, or interact with an enterprise platform, it presents this credential. Merchants, payment processors, and financial institutions can then query the credential to verify whether the agent is genuinely authorized to perform the requested action.
Without such a standard, Awad warns that the future of agentic AI will face severe friction:
"Unless agents can establish that they are acting on behalf of legitimate people or businesses, agents will just get blocked everywhere. They will just resort to trying to get around websites’ restrictions just to be able to complete their assigned tasks, or they will become less useful because they are repeatedly blocked as suspected bots."
Future Outlook: Establishing the Industry Standard
As Baselayer rolls out its Agentic Identity Suite, the startup faces a monumental coordination challenge: establishing a universal standard across a fragmented ecosystem.
Building the Ecosystem
To make "Know Your Agent" ubiquitous, Baselayer cannot operate in a vacuum. The company is actively collaborating with key stakeholders across the financial and technological landscape, including major processors and verification providers like FIS, Prove, and Socure.
However, widespread adoption will require patience. Awad notes that enterprise sales cycles within traditional financial institutions typically span 12 to 18 months, while large merchant partnerships can stretch up to 24 months. Fortunately, Baselayer’s existing network of reseller partners and deep penetration within 20% of U.S. financial institutions provide a massive distribution advantage over nascent competitors attempting to enter the market from scratch.
The Road Ahead for the Agentic Economy
The broader implications of Baselayer’s $35 million raise extend far beyond corporate growth metrics. As autonomous agents evolve from simple administrative assistants into fully autonomous economic agents capable of moving money and signing contracts, trust will become the most valuable currency on the internet.
By bridging the gap between real-world corporate identity and digital software execution, Baselayer is positioning itself at the absolute center of the next major evolution in global commerce. If the company succeeds in making KYA as ubiquitous as KYB, it will not only secure financial institutions against billions in AI-driven fraud losses—it will supply the foundational trust layer that allows the agentic economy to safely thrive.
