In the sprawling ecosystem of financial fraud, synthetic identity theft has long haunted consumer lending—fabricated social security numbers, doctored credit histories, ghost borrowers. Now that playbook has jumped to small business, and the holes in how banks verify company legitimacy are proving costly.
Enter Baselayer, a New York startup that just closed a $20 million Series A round to tackle what its founders say is a fast-growing blind spot: synthetic business fraud. M13 led the round, with Koro Capital joining, bringing total publicly confirmed funding to $26.5 million since the company raised its seed round in May 2024.
The pitch is straightforward, if ambitious. Banks and lenders today still verify business customers through what amounts to detective work—Secretary of State filings here, beneficial owner checks there, maybe a sanctions list screen, perhaps a lien search. Baselayer wants to collapse that patchwork into a single AI-powered workflow, layering on real-time fraud signals from a consortium of financial institutions that share intelligence on suspicious patterns.
"Traditional business verification is stuck in the analog era," co-founder and CEO Jonathan Awad has said in company materials. The fragmented process, Baselayer argues, leaves openings for bad actors who know exactly which gaps to exploit.
When Companies Aren't Real
Synthetic business fraud works much like its consumer cousin: fabricate or manipulate a business identity just enough to pass cursory checks, then use it to secure loans, open accounts, or run payments before disappearing. The Federal Reserve flagged the trend in a publication last year, noting that consortium-based detection—where institutions pool fraud data—might offer a way forward.
Baselayer operates under the legal name Osiris Ratings, Inc., and claims to serve an identity network spanning 2,300 banks and payment firms. A partnership announcement with decisioning platform Zoot Solutions referenced this network size, suggesting the customer count has continued to climb.
The company's platform stitches together public records, Secretary of State and IRS validation, liens, litigation histories, web intelligence, and what it calls AI agents—all packaged as Know Your Business (KYB) infrastructure. At the core sit two proprietary systems: an Identity Network that tracks velocity patterns (say, the same business applying at ten lenders within a week) and a Fraud Consortium where members trade fraud intel in exchange for cross-institutional screening.
According to Baselayer, the consortium had prevented over $100 million in fraud losses across its network as of early 2024. The platform also generates risk ratings, predicts business classifications, monitors portfolios for changes, and automates decision flows through a feature the company brands as Risk Co.Pilot.
Fast Growth in a Hot Market
Baselayer has grown quickly—perhaps more quickly than even its backers anticipated. The team has scaled from a $6.5 million seed round in 2024, backed by Torch Capital, Afore Capital, Founder Collective, Picus Capital, and Gilgamesh Ventures, to between 51 and 200 employees split across New York and San Francisco.
Integrations now touch more than 30 million accounts, per the company's public profiles. Disclosed customers include Fundbox, Slope, and Grasshopper Bank, with tech partnerships spanning Plaid and Socure. The Zoot deal, in particular, embeds Baselayer's fraud intelligence directly into lending and onboarding systems used by hundreds of institutions—a distribution channel that could prove significant as embedded finance and vertical software eat into traditional banking.
Co-founder and CTO Timothy Hyde has helped steer product expansion, including employee verification tools and international business checks, both added within the past year.
What the Money Buys
Neither Awad nor Hyde has detailed exactly how they plan to deploy the fresh $20 million. But the timing suggests a play for scale. Financial institutions are under mounting pressure—from regulators, from rising fraud losses, from fintechs moving faster—to tighten SMB onboarding without grinding origination to a halt.
M13's backing, confirmed through the firm's portfolio data and investor networks, signals belief that the market for automated KYB is still early. The cost of missing fraud in commercial lending can run into seven figures per incident; multiply that across thousands of institutions, and the addressable market starts to look substantial.
Still, questions linger. Fraud consortiums depend on trust and data-sharing among competitors—not always an easy sell. And while Baselayer's growth metrics are impressive, the company hasn't disclosed churn, false positive rates, or how its AI models perform across different geographies and business types.
For now, though, the bet is clear: as synthetic fraud migrates from consumer to commercial, the banks that catch on fastest will need better tools than a stack of spreadsheets and a few API calls. Whether Baselayer becomes the standard or just an early mover remains to be seen. But with $26.5 million in the bank and a network that spans thousands of institutions, it has a head start.
