Global FX infrastructure for cross-border payments and treasury operations
OpenFX operates FX rails designed to clear cross-border transfers 24/7 with real-time settlement. The stack—Kafka, PostgreSQL, Snowflake, dbt, Airflow—reflects a data-heavy, event-driven architecture built for transaction throughput and settlement visibility. Hiring velocity is accelerating, but the department mix reveals early-stage regulatory scaling: 8 legal roles, 1 compliance specialist, and only 1 engineering hire in the past month, signaling that regulatory infrastructure and licensing are the immediate constraints, not engineering capacity.
Notable leadership hires: Head of Compliance
OpenFX is a Miami-based fintech founded in 2024, building infrastructure to move money across borders outside traditional banking hours and settlement windows. The platform targets finance teams and treasury operations at larger enterprises, offering API-driven cross-border transfers with competitive FX spreads and 24/7 availability. The founding team draws from payments and financial services (Affirm, JP Morgan, Goldman Sachs, Kraken, Visa, PayPal, Revolut, Mastercard). Current operational scale spans the US, UK, UAE, and India, with active projects across EU/UK licensing, UAE compliance program buildout, and post-launch product adoption.
Core infrastructure: Kafka (event streaming), PostgreSQL (transactional data), Snowflake (analytics warehouse), with dbt and Airflow for data pipeline orchestration. API layer uses Python, Go, Java, and JavaScript. Deployment on AWS with Kubernetes and Terraform. Observability via Heap, Tableau, and Looker.
Immediate priorities: EU/UK licensing strategy, UAE compliance program buildout, product marketing for new offerings, and demand generation. Internal focus includes observability improvements, structured onboarding, and recruiting infrastructure to scale teams across geographies.
OpenFX'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.