Open banking API platform connecting European fintechs to bank networks
Yapily operates a multi-cloud infrastructure (AWS, GCP, Azure) connecting fintechs and financial institutions across European banks. The tech stack is polyglot (Python, Go, Java, Ruby) with heavy DevOps tooling (Kubernetes, Terraform, OpenTofu, Packer, Ansible), reflecting the operational complexity of a multi-tenant, regulated payment platform. Active hiring spans product, engineering, legal, and security — matching their current focus on compliance automation, payment infrastructure expansion (Variable Recurring Payments, Payment Initiation Services), and cloud security hardening.
Yapily is Europe's open banking infrastructure provider, founded in 2017 and headquartered in London. The platform securely connects fintechs, neobanks, and traditional financial institutions to thousands of European banks, enabling access to financial data and payment initiation capabilities. The company serves customers across multiple verticals operating in open finance, ranging from disruptive startups to established players. With 51–200 employees and offices in the UK and Spain, Yapily is actively scaling infrastructure and compliance tooling to support regional expansion and regulatory requirements across different banking environments.
Yapily runs a multi-cloud infrastructure (AWS, GCP, Azure) with Kubernetes orchestration and Terraform/OpenTofu for IaC. Core services use Python, Go, and Java (Spring Boot), with Postman for API management and comprehensive testing frameworks (JUnit, Testcontainers).
Current projects include expanding Payment Initiation Services (PIS) across UK and European markets, implementing Variable Recurring Payments (VRP), automating compliance checks, hardening GCP environments, and building internal deployment pipeline tooling to support multi-tenant platform scaling.
Yapily'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.