Cross-border payments infrastructure and consumer money transfer app
Paysend runs proprietary cross-border payment infrastructure, from FX to settlement, serving both businesses via API and consumers via its transfer app. A hybrid stack of AWS and GCP alongside on-prem VMware, HP ProLiant and a heavy network-security layer (Palo Alto, Fortinet, Juniper) reflects a regulated payments operator owning its own rails. Hiring spans engineering, legal and finance, with compliance work like RPAA readiness and AI-driven CRM personalisation in flight.
Paysend is a London-headquartered payments company founded in 2017, privately held and employing 201–500 people. It operates its own licensed payment infrastructure covering processing, FX, orchestration and settlement, with reach across 170+ countries and support for both fiat and stablecoins. Businesses integrate through an Enterprise API, embedded offerings and Instant Settlement Accounts for white-label cross-border transfers. Consumers use the Paysend app to send money internationally, with more than 12 million registered users. Hiring currently spans the United Kingdom, Philippines, United States and Serbia.
Paysend runs Python on AWS and GCP, with VMware and HP ProLiant on-prem, Prometheus, Grafana and Zabbix for monitoring, OpenSearch, Oracle SQL, AWS RDS, Braze for engagement and Zendesk for support.
Paysend is headquartered in London, England, and hires across the United Kingdom, Philippines, United States and Serbia.
Current initiatives include AI-driven CRM personalisation, RPAA compliance framework implementation, regulatory reporting, and testing of money flows, FX and Sumsub-based KYC onboarding.
Other companies in the same industry, closest in size
Paysend'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.