Payments, fraud, and compliance platform for modern financial operations
Breeze operates a full-stack payments platform built on Google Cloud infrastructure (GCP, Firestore, BigQuery, Pub/Sub) with fraud detection via Forter, Featurespace, and Feedzai. The project backlog reveals an engineering org in scale mode: card issuing (0→1 launch), subscription infrastructure, unified fiat/crypto rails, and observability automation dominate current work. Active hiring spans engineering, sales, and product with senior roles and a newly-hired Head of Finance—typical markers of post-product-market-fit execution phase.
Notable leadership hires: Head of Finance
Breeze provides an integrated payments, fraud, and compliance platform designed for businesses managing complex financial operations at scale. The company operates from New York and was founded in 2022. The platform consolidates payment processing, fraud prevention, chargeback management, and regulatory compliance into a single interface, with particular focus on supporting both traditional fiat and cryptocurrency transactions. Breeze integrates with major processors (Stripe, Adyen, Braintree) and payment channels (Apple App Store, Google Play), positioning itself as an abstraction layer above legacy payment infrastructure. The team is actively expanding into card issuing and subscription management, with hiring accelerating across engineering, sales, and product functions across the US, Canada, and Singapore.
React, TypeScript, Node.js, and Next.js for frontend; Python, Go, and Node.js for backend; Google Cloud (GCP, Firestore, BigQuery, Cloud Run, Pub/Sub) for infrastructure; Stripe, Adyen, and Braintree for payment processing; Forter, Featurespace, and Feedzai for fraud detection.
Active projects include card issuing platform launch, payment system scaling, fiat/crypto payment unification, subscription infrastructure integration with Apple App Store, observability and monitoring deployment, and CI/CD automation for cloud infrastructure.
Breeze'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.