myPOS operates a fintech payments infrastructure for mid-market merchants across Europe, built on cloud infrastructure (AWS, GCP, Azure) and data warehousing (Snowflake, Databricks). The tech stack reveals a heavy investment in AI/ML—LangGraph, LlamaIndex, CrewAI, and RAG systems sit at the top of their adoption list—while active projects show a shift toward agentic systems design and lifecycle automation. Sales-driven hiring (65 open roles) paired with 146 active positions signals aggressive merchant acquisition, though internal friction surfaces around merchant onboarding and fraud detection.
myPOS provides payment processing and point-of-sale solutions to merchants across Europe, with operational presence in ten cities spanning London, Amsterdam, Milan, Paris, Sofia, Bucharest, Vienna, and Lisbon. The platform differentiates on instant settlement—funds available to merchants immediately at no additional cost—bundled with free e-money accounts, Android POS terminals, online/mobile payment tools, and a linked Business Visa card. The company operates at 201–500 employees and is scaling sales and support operations across eight countries (UK, Bulgaria, France, Italy, Germany, Portugal, Romania, Poland). Core infrastructure runs on Snowflake, Databricks, and cloud providers; the org is architecting agentic systems and retrieval layers alongside traditional data pipelines.
myPOS deploys AWS, GCP, Azure for cloud infrastructure; Snowflake and Databricks for data; Python, Kubernetes, Docker, and Terraform for orchestration; Jira and Confluence for internal workflow; and LangGraph, LlamaIndex, and CrewAI for AI/ML systems.
Active projects span agentic systems design, lifecycle automation (email/push/in-app journeys), fraud detection, merchant onboarding optimization, next-best-action decisioning, telesales workflows, and local payment method integration.
myPOS'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.