About
Alloy offers an identity decisioning platform that aggregates 160+ data sources for KYC, fraud prevention, and credit underwriting. Valued at $1.55B (Sept 2022). Serves banks, credit unions, and fintechs. $42.4M revenue in 2024. Investors include Lightspeed, Bessemer, Canapi, and Felicis. Customer results: Earnest increased auto-approval 56%, Mountain America CU cut fraud 29%.
Key Facts
- [1]Founded: Founded in 2015 in New York, United States.
- [2]Funding: Total funding: $295M. Last round: Oct 2022. Stage: Late Stage.
- [3]Valuation: Valued at $1.6B.
- [4]Customers: Key customers include Earnest, Mountain America CU.
- [5]Employees: Employee count: 201-500.
- [6]Revenue: Annual revenue/ARR: approximately $42M.
- [7]Website: Official website: alloy.com.
- [8]AI Technology: Core AI/ML technologies: Predictive ML.
- [9]Region: Region: Americas (United States).
Founders
Tommy Nicholas
Co-founder & CEO
Laura Spiekerman
Co-founder & President
Charles Hearn
Co-founder & CTO
Key Customers & Partners
AI Technology
Predictive ML
Traditional ML algorithms for classification, regression, and scoring models
Classification
Market Segments
Tech Stack Layers
Details
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Frequently Asked Questions
What is Alloy?
Alloy offers an identity decisioning platform that aggregates 160+ data sources for KYC, fraud prevention, and credit underwriting. Valued at $1.55B (Sept 2022). Serves banks, credit unions, and fintechs. $42.4M revenue in 2024. Investors include Lightspeed, Bessemer, Canapi, and Felicis. Customer results: Earnest increased auto-approval 56%, Mountain America CU cut fraud 29%. Alloy is classified in the Risk & Compliance segment at the Models layer of the financial AI stack.
Who founded Alloy?
Alloy was founded by Tommy Nicholas (Co-founder & CEO), Laura Spiekerman (Co-founder & President), and Charles Hearn (Co-founder & CTO) in 2015 in New York, United States. The company has been operating for 11 years.
How much funding has Alloy raised?
Alloy has raised $295M in total funding, placing the company at the Late Stage stage. The most recent round closed in Oct 2022. The company is valued at approximately $1.6B. Alloy generates approximately $42M in annual revenue. Among 74 funded Risk & Compliance companies, Alloy ranks #17 by total capital raised. (Source: AIFI Map directory.)
What AI technology does Alloy use?
Alloy primarily leverages Predictive ML technology. Traditional ML algorithms for classification, regression, and scoring models. Within the Risk & Compliance segment, 42 companies use this technology.
What market segment does Alloy operate in?
Alloy operates in the Risk & Compliance and Lending & Credit and Banking & Payments market segments. AI risk and compliance companies protect financial institutions from fraud, money laundering, identity theft, and regulatory violations. This is one of the largest and most critical segments in the AI finance landscape, as the cost of financial crime and non-compliance runs into the hundreds of billions annually. The company also has a footprint in lending & credit and banking & payments, reflecting its cross-functional approach to financial AI.
Where is Alloy headquartered?
Alloy is headquartered in New York, United States. The company operates in the Americas region. The team consists of 201-500 employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are Alloy's competitors?
Companies similar to Alloy in the Risk & Compliance space include Feedzai ($431M raised), Sardine ($170M raised), Hawk AI ($83M raised), Resistant AI ($55M raised), Flagright ($8M raised). These companies operate in related areas of financial AI: Feedzai focuses on ai-native fraud and financial crime prevention platform for major banks. Sardine focuses on ai risk platform for fraud, credit, and compliance. Hawk AI focuses on ai-powered aml and fraud detection for banks and fintechs. (Based on AIFI Map classification data.)
What products does Alloy offer?
Alloy builds models-layer solutions for the financial services industry. The company's core offering: Identity decisioning platform with 160+ data sources. The platform is powered by Predictive ML technology. Notable users include Earnest, Mountain America CU.