Alloy operates an identity and fraud risk platform serving 700+ financial institutions and fintechs globally. The stack reflects a data-heavy, API-first architecture: TypeScript/Python backend (Django, Node.js), PostgreSQL + Elasticsearch for operational queries, AWS infrastructure with Kubernetes orchestration, and integrations via Zapier and n8n. Notably absent: adopting or replacing signals suggest stack maturity, but active hiring across engineering and sales (15 roles posted in 30 days, accelerating velocity) alongside projects focused on partner ecosystem scaling and regional bank penetration indicate a shift toward platform consolidation and sales-led growth.
Alloy provides an identity and fraud prevention platform designed for financial institutions and fintechs to manage identity risk and compliance exposure while scaling customer onboarding. The company operates at scale, serving over 700 global financial customers across banking and fintech segments. The platform aggregates data from the broadest network of third-party sources in the industry and surfaces actionable intelligence to detect fraud, credit, and compliance violations. Founded in 2015 and headquartered in New York, Alloy is privately held with 201–500 employees. Engineering and sales teams are sized roughly equally, with current hiring momentum in both functions.
Alloy runs TypeScript/JavaScript and Python (Django, Node.js) on the backend, PostgreSQL and Elasticsearch for data storage and search, AWS infrastructure with Kubernetes and Terraform for orchestration, Datadog and CloudWatch for observability, and integrations via Zapier, n8n, and REST (Postman, cURL).
Current focus areas include next-generation partner ecosystem and data integration platform scaling, strategic fintech and regional bank sales expansion, data ingestion pipeline improvements, and infrastructure reliability and campaign execution optimization.
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Alloy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.