Unified payments, fraud, chargeback and compliance platform for businesses
Breeze is a New York payments company bundling processing, fraud screening, chargeback handling and compliance into one platform. Its stack is built almost entirely on GCP (Cloud Run, Spanner, Pub/Sub, BigQuery) with Go and TypeScript, and it integrates Stripe, Adyen and Braintree alongside fraud engines like Forter, Featurespace and Feedzai, which points to an orchestration layer over multiple processors. Hiring is accelerating and spans engineering, finance and sales.
Notable leadership hires: Growth Lead
Breeze, founded in 2022 and headquartered in New York, offers businesses a single platform covering payments, fraud prevention, chargebacks and compliance. The company targets both early-stage and enterprise merchants looking to move off legacy payment infrastructure. It employs 51–200 people and is privately held. Its product work includes a universal payment layer, underwriting tooling and treasury processes, with support for wallets such as Apple Pay and Google Pay being added. Hiring extends beyond the United States to Singapore, Canada and the Netherlands.
Breeze runs on Google Cloud, including Cloud Run, Cloud Spanner, Pub/Sub, Firestore and BigQuery, with Go, Python, TypeScript, React and Next.js. It works with Stripe, Adyen and Braintree, plus Forter, Featurespace and Feedzai for fraud.
Breeze hires in the United States, Singapore, Canada and the Netherlands, in line with its international expansion licensing and new-market compliance work.
Breeze is building a universal payment layer, AI-driven underwriting automation, a cash forecasting system, and a risk-based compliance program to support entry into new markets.
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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.